Edit | Li Shuiqing Wisdom News reported on June 21 that the GTIC 2021 Embedded AI Innovation Summit recently concluded successfully in Beijing! At this high-profile AI industry summit with a full audience and more than 1.5 million live viewers on the entire network, 16 bigwigs from the upstream and downstream of the industry chain gathered together to focus on the software and hardware ecological innovation of embedded AI, home AIoT, Mobile robots and industrial manufacturing industry 4 major sections of the map, bringing in-depth and simple to share. At the meeting, Chen Chao, the R&D director of Jizhijia, gave a speech titled “Challenges and Innovations in the Visual Perception Technology of Logistics Robots”. The speech mainly consists of three parts: logistics and logistics robots, and the challenges and solutions faced by logistics robots in vision in two different scenarios: warehousing and industry. The logistics industry is a huge market, but the industry has long faced pain points such as difficult employment and rapid changes in market demand. Logistics robots came into being under such a background. At present, they have evolved into multi-scenario product forms such as smart sorting, smart handling, smart forklifts, smart warehousing, and so on, and have landed in many practical scenarios. Chen Chao recalled that, in the process of launching the logistics robot of Jizhijia, many challenges have been overcome in terms of visual perception technology. In the field of warehousing AMR mobile robots, the scenarios are relatively simple, mainly including picking from shelf to person and picking from box to person. For the ground two-dimensional code used for navigation, the team encountered problems such as defacement/reflection, motion blur, and demands for cost reduction. To this end, Gzhijia introduced V1.5 based on the fusion of ground patterns on the latest robots to make up for the problem of easy fouling of the QR code; further, Gzhijia’s V2.0 solution based on Marker-Net reduces the failure rate Reduce by two orders of magnitude. In the field of industrial AMR mobile robots, the scenarios and challenges are more complex and diverse. For example, in response to the problem of fewer samples in the industry, Gigabyte adopts a learning simulation program to quickly expand the sample; for the problem of unknown target detection, Gzhijia introduces a depth camera, which allows the deep learning model to organically combine deep data to improve target detection performance. For the problem with high robustness requirements, Gigabyte adopts a composite model method; for positioning problems in high dynamic scenarios, map update and semantic maps are used to ensure long-term stable operation of the robot; for end-side equipment with low computing power The problem is that Gigabyte uses algorithm optimization and acceleration engine to break through the limit of computing power. It can be seen that, as a logistics robot head company established in 2015, Jizhijia has overcome the hills of embedded AI development for specific application scenarios in warehousing and industry. We organize the record of Chen Chao’s speech into the following three parts: 1. The logistics industry accounts for over 10% of GDP, and logistics robots came into being Regarding logistics, in addition to express logistics that ordinary consumers often come into contact with, it also includes subdivided logistics scenarios such as warehousing logistics and factory logistics. Logistics is a very complex and complex industry, accounting for more than 10% of GDP. It can be said that logistics provides a guarantee for the supply of production and living materials for the entire society. In recent years, the logistics industry has faced challenges: the first is the difficulty of employing people. In fact, everyone around them can clearly feel the trend of aging and declining birthrate of the entire society over the years. The working-age population is gradually decreasing. At the same time, young people nowadays are more inclined to go to big cities to engage in service-oriented jobs. They are unwilling to go to factories and warehouses to do some low-level boring logistics jobs for logistics-related companies. Recruitment caused certain difficulties. On the other hand, the logistics industry is changing rapidly. With the development of the entire economy, residents’ consumption upgrades. At present, there are fewer and fewer large-scale standard industrialized products, and more are highly customized and personalized small-batch production. Now the product iteration speed is faster and the upgrades are more frequent. , To present new challenges to the supply chain. Logistics robots came into being in this context. Since logistics involves a wide range of areas, there will be different robots and solutions in different links and aspects. (Logistics robots) are mainly used in smart sorting in some express delivery fields, smart picking in e-commerce warehouses, as well as smart handling robots, smart forklifts on manufacturing production lines, smart warehouses and smart factories for integrated solutions… below, Let’s find out through specific robots. Jizhijia’s family portraits cover most of the categories of logistics robots. Including the low and latent picking robots and handling robots in the front row, as well as the sorting robots and bin picking robots in the middle, as well as the tall unmanned forklifts, man-machine collaborative robots, and composite robots with robotic arms in the back row. Behind the busy robots is a cloud-based system architecture. First of all, on the bottom side is the body of the robot, which contains software algorithms such as visual perception, positioning, and PNC; on the edge server side in the middle, running RMS is responsible for robot task scheduling and path planning; the top cloud deployment WMS, ERP The system is connected with the customer’s business. It is based on such a cloud side-end architecture that (we) guarantees the stable and efficient operation of logistics robots. 2. Warehousing scene: The accuracy of visual recognition needs to be improved, and there is a big demand for cost reduction After having a preliminary understanding of the logistics robot system, take a look at the challenges and responses of visual perception. First of all, in the warehousing scene, the current applications are: 1. Picking from shelf to person; 2. Picking from box to person. “Goods-to-person picking mode” has changed the traditional way of picking and choosing people to find goods-the RMS issues instructions, the robot runs to a specific location, and the corresponding shelf or specific bin is transported to the picking station. Picking is done manually. In this link, operators no longer need to shuttle shelves to find goods. The new picking mode greatly reduces the labor intensity of pickers, and at the same time significantly reduces the error rate of picking, so that the overall efficiency is improved by 2 to 3 times. How is the picking robot positioned? Careful friends have already seen that in the video, some QR codes are densely gridded on the ground. A camera is installed at the bottom of the robot. The camera uses the camera to capture the QR code for positioning. This is similar to the principle of scanning codes on mobile phones. Since the QR code is deployed on the ground, there are some special features that are easy to be defaced. In the warehouse scene, there are often some trailer trucks in operation. The warehouse is regularly cleaned and maintained. Using a very powerful washing machine will cause damage to the QR code on the ground. On the other hand, the robot runs at a speed of more than 2 to 3 meters per second, the lens is very close to the ground, and the number of pixels that the object slides in a unit time is relatively large, and the image blur is more serious. In addition, low cost is also subject to fierce competition in the front-end market. The (market) puts forward a demand for cost reduction for picking robot sensors and computing chips. In response to the previous problems, we have made some iterations of technology and products. In the earlier version, a very low-cost heterogeneous SoC (System-on-Chip) was selected, and our traditional geometric feature-based algorithms were optimized and accelerated by FPGA, and finally achieved a relatively excellent performance-to-price ratio and performance-to-power ratio. Aiming at the problem of the contamination of the QR code, and also in order to reduce the deployment of the QR code in the scene, (we) introduced the ground pattern. If you look closely, you will find that the ground actually has very small textures, which are unique IDs, which can be used for positioning, which is similar to the code value on the QR code. Due to the particularity of the land pattern, (we) adopted a series of transformations to extract the global feature of the land pattern and establish a map location. Of course, the ground pattern has certain limitations, and it cannot be used for the epoxy floor of the factory and some high-gloss tile floors. (We) deploy a head-up camera on the front end of the robot, and use a neural network method Markernet on the back end to greatly expand the two-dimensional code detection capability on the latest robot. Previously, our camera was shooting downwards, and the field of view was very small. If the robot deviated a little, the positioning would be lost in a few centimeters or ten centimeters. Now relying on the front-view camera can detect the QR code in a larger range and perform relocation, which reduces the failure rate by two orders of magnitude. Many friends will ask, why use the network method for objects with obvious geometric features or artificially designed QR codes? Compared with the traditional mobile phone scanning code or the previous robot looking down the QR code detection method, now the QR code needs to be detected in a larger range and smaller angle to detect the fuzzy and contaminated QR code, based on the data-driven model method Exceeds the traditional method of artificially designing features. With the help of flexible camera deployment and back-end intelligent algorithms, the use of QR codes in the scene is greatly expanded, and it can be extended to side shelves or ceilings or almost anywhere in the scene. This is a test done in a logistics port container, which can detect and recognize the QR code in a very dark environment. 3. Industrial scenes: to deal with more complex scenes and establish simulation schemes In the industrial scenario, the challenges and responses faced by the visual perception of logistics robots, compared with the previously mentioned warehousing environment, involve more operations and a wider range. In the industrial scene, there are different types of robots in different scenes, including the roller handling robot on the left, lifting and handling, as well as robotic arm load robots and smart forklifts. In the industrial scenario, the requirements are diverse and the scenarios are complex, and different robots face different challenges when dealing with different tasks. Let’s take a look at it in detail. First, there are few samples. Take compound robots as an example. In the end-grabbing process, they are faced with the detection and recognition of more than 100,000 commodities. Unlike applications such as unmanned vehicles, few in the industrial field can find corresponding ones on public data sets. Samples for our training. At the same time, industrial customers have certain requirements for data privacy, which also restricts the collection of some samples. We adopt a simulation + learning program. Take pallets as an example. Pallets are vehicles that are widely used in the entire logistics scene. There are many types of pallets, including European standard, national standard and non-standard. There are various colors, shapes, sizes, materials, and even some customers. Take local materials and temporarily assemble them into pallet-like items with raw materials. Use the simulation engine to quickly build a single-target rendering, which can be rendered with different lighting, colors, and positions, and quickly expand our samples. For some applications, we can do full-scene simulation. Few Shots learning and Transfer Learning are used to quickly develop and adapt some new applications for some of the data that has been accumulated before in the industrial scene and the models that have been trained. Unknown target detection, there are many types of targets, some anomaly detection or obstacle detection can not exhaust the tested targets, we don’t know that the wrench or a part on the production line is dropped in front, or it may be a mouse or battery, based on the traditional The depth model method relies too much on the previous samples, and when faced with the detection of items that have never been seen before, the performance has a relatively large drop. We introduce deep learning methods to organically combine depth data and RGB data for detection. There are many types of depth cameras, including Stereo camera, TOF camera, Structure Light camera, etc. Choose the corresponding sensor according to different detection distance and accuracy requirements. We use Stereo camera for obstacle detection. The output depth map and grayscale map are naturally aligned on the pixel level, which is very good for the further information fusion in the future. The depth-based detection method does not rely on the previously established model, and has a better detection effect for unseen targets. Our robot uses a very cheap depth sensor, which is not as high as a lidar. Accuracy. For low and small objects, the availability of depth data is greatly reduced. For very distant objects, the depth map degenerates into a 2D map in principle, which needs to be combined with RGB data for detection. In the industrial scenario, due to the requirements for safety and efficiency, the robustness of related equipment is very high. Take forklifts as an example. The load capacity of forklifts is very strong and the destructiveness is very large. Error detection will affect items and personnel. Caused very big damage, we adopt the method of compound model, combine deep learning method with domain knowledge through compound model. On the one hand, we quickly output the potential detection objects of the object. On the other hand, for pallet detection or certain bin detection, we know what the detection target is, we can use the prior model to perform a network verification to obtain robustness Higher accuracy and higher results. Positioning in high-dynamic scenarios is different from warehouse robots based on two-dimensional codes on the ground. SLAM robots are used more in the industry. SLAM is a technology that uses sensors to observe the environment to establish a map and then locate it. This is very similar to the principle of human eyes observing the entire scene and positioning based on these visual landmarks. SLAM-based positioning has some advantages. There is no need to modify the scene, and there is no need to lay so many two-dimensional codes. It is more convenient to implement. The walking route is not gridded, but an arbitrary trajectory. Due to its flexibility, SLAM robots are more in line with the needs of customers in the flexible manufacturing industry and have been widely used in the manufacturing industry. A very big challenge based on SLAM positioning is the problem of positioning loss in a high dynamic environment. For example, the bins on the production line will change with the change of work time. When the robot picks up the bins, there are still 10 bins. When it is put back, only 2 bins remain, and the scene changes If the robot fails to locate, it is equivalent to holding the old map to look at the way and find the way, and it will probably fail. We adopt a map update and semantic map solution. Based on the cloud-side end architecture just mentioned, each end-side robot is given the ability to detect changes. When it finds that the map does not match well, it uploads the data to the edge server. The edge end can integrate the data collected by multiple robots, judge based on the previous static reference map, perform map fusion update, and send the fused map to each robot, so that the robot can use the latest map for positioning. Semantic map detects some objects in the network and recognizes dynamic and static characteristics. For example, people and material trucks are movable and cannot be removed from the map as landmarks. For some heavy equipment, they are movable and the movement frequency is very low. Decrease its confidence in the map. The markings on the ground, walls, pillars, etc. are highly static objects, increase its confidence in the map. Compared with traditional feature point-based positioning, the accuracy of semantic target-based positioning may be slightly lower, but the robustness is very high. It can even partially or fully constrain the position of the entire robot based on one object in the entire scene. , So as to ensure the smooth operation of the robot. The challenge of low computing power is limited by a series of factors such as price, size, and power consumption. It is impossible for us to use high-performance computing chips on end-side devices. What we do is to optimize at the algorithm and software level. For the network model, optimization is performed on the numerical calculation level, the structure of the network itself, and the entire detection process. On the other hand, we use the supporting optimization and reasoning engines provided by major hardware manufacturers to optimize the deployment of our algorithms. Taking OpenVINO as an example, quantitative tuning and pruning are performed on the server side, and the optimized model is deployed on a low-computing computing platform through the IE engine. Intel’s OpenVINO can fully tap the entire processor, not only the CPU, but also other computing units, especially the computing power of the integrated graphics card, making full use of on-chip resources. Let’s talk about it today. We look forward to working with colleagues and partners to discuss the application of visual AI technology in the logistics industry, and to build intelligent robots to make logistics easier. thank you all! The above is a complete compilation of Chen Chao’s speech.

Robots deliver food and medicine to Covid-19 patients. Photo provided by Captain, Dr. Nguyen Dinh Quan. Two robots were assigned by the delegation: Lieutenant Colonel, Dr. Nguyen Anh Van, Vice President of Special Robotics and Mechatronics Department, Faculty of Aerospace and Captain, Dr. Nguyen Dinh Quan; Major, Master Hoang Van Tien installed and transferred it to the staff, doctors and nurses on duty here. This robot named Vibot weighs 60 kg, moves at 30 m/min, works for 12 hours continuously, after the battery runs out, it automatically searches for the charging station. Monitoring and control range 150 m (wireless) and expandable up to 500 m. Vibot can replace 3-5 medical staff (working inside – direct contact with patients) operating according to pre-loaded programs or direct instructions of users. Robot named Vibot was put into use on June 3. Photo: CTV Vibot can also build a path by itself according to the preloaded work area map or self-build, safely move in and out of the designated area to perform the task without any outside assistance. . Simultaneously detects and stops, bypasses fixed and movable obstacles to reach predefined locations. Currently, Captain, Dr. Nguyen Dinh Quan and Major and Master Hoang Van Tien are transferring technology to doctors and nurses at the treatment area for Covid-19 patients at Bac Giang Provincial General Hospital. It is known that in addition to reducing the risk of infection, the robot also creates conditions for medical staff to better focus their time and effort on serving, caring for and treating seriously ill patients. Snow Mai

The disinfection robot combines two methods of UVC and chemical disinfection to help kill bacteria and reduce the spread of disease. The robot also has the ability to move flexibly, remotely or pre-programmed for a certain sterilization route. Le Anh Son, Deputy Director of Phenikaa Institute of Research and Technology (Phenikaa University), said that the robot is also capable of taking on tasks to support epidemic prevention and control in Bac Giang such as: Transporting necessities , monitoring sick and isolated people through monitoring cameras. Phenikaa University’s disinfection robot. The robot is fully self-propelled, avoiding collisions by using LiDAR technology, integrating artificial intelligence to recognize and remind people to wear masks, measure body temperature and a host of other superior features. . On the evening of June 2, the robot was put into operation for the first time. Before that, in the middle of May 2021 when the epidemic was complicated, students of Phenikaa University launched the campaign “Online learning – Show talent against the epidemic”. The students spent time and effort to create a droplet shield for medical staff, medical staff at hospitals, treatment facilities, and concentrated isolation. Up to this point, 10,000 droplet shields have been sent to more than 30 localities, of which more than half have been transferred to the epidemic center Bac Ninh, Bac Giang. High-tech products “make in Vietnam” such as: COVID-19 epidemiological information maps, disinfection robots, self-propelled robots, smart school solutions … or simply splash shields, orezol water These are all feelings of love and sharing from the collective staff, lecturers, scientists and students of Phenikaa University sent to the epidemic center.

Doctors at the No. 2 field hospital study how to operate the Phenikaa-X disinfection robot. Photo: C.Le Dr. Le Anh Son, Deputy Director of Phenikaa Institute of Research and Technology, said that the disinfection robot can take on the task of supporting epidemic prevention and control in Bac Giang with the main tasks such as: Transporting necessities, monitor patients and quarantined people through monitoring cameras. The robot is fully autonomous and avoids collisions by using LiDAR technology, with built-in artificial intelligence to recognize and remind people to wear masks, measure body temperature and a host of other features. Doctors at the No. 2 field hospital study how to operate the Phenikaa-X disinfection robot. Photo: C.Le Disinfection robot is one of the high-tech products and is directly applied in the prevention and control of Covid-19 epidemic by scientists from Phenikaa Institute of Research and Technology, Phenikaa-X Joint Stock Company, Phenikaa University research and develop to apply in real life. Doctors of field hospital No. 2 said that the presence of the Phenikaa-X disinfection robot helps the hospital a lot because it has an extra protective shield. This robot is run continuously in the corridor to help disinfect the air. Doctors at the No. 2 field hospital study how to operate the Phenikaa-X disinfection robot – Photo: C.Le Previously, students of Phenikaa University also made droplet shields for medical staff, medical staff at hospitals, treatment facilities, and concentrated isolation. Up to this point, 10,000 droplet shields have been sent to more than 30 localities, of which more than half have been transferred to the epidemic center Bac Ninh, Bac Giang. In addition, Phenikaa University also donated 10,000 bottles of Orezol water to the frontline medical staff in the fight against the epidemic.

The first robot tractor in operation on the farm in the UK. Photo: TL. According to Fram Famers (UK), commercial robot tractors have been put into operation at Home Farm Nacton (member of Fram), in Suffolk (United Kingdom), from mid-April. Technological improvement required, along with difficulties in finding seasonal labor, led to the investment of robot tractors at the aforementioned farm. Home Farm, which specializes in organic agricultural production, received the Robotti 150D from Agrointelli, a Danish company. It was the first robot tractor to operate in the UK, and is now fully operational on the farm. The Robotti 150D is used to till the soil to prevent weeds from sprouting by using a harrow attachment. In the near future, Robotti 150D at Home Farm will be used to perform many other jobs such as mowing the lawn, punching holes to plant onions, etc. Home Farm produces both organic and conventional vegetables, including leeks, bok choy, onions, beets, potatoes, sugar beets and grains, on 1,940 hectares. The farm is looking to apply more advanced technology to production and business activities. Andrew Williams, Home Farm manager, said: “A large portion of our produce is organic, so we are increasingly limited in how we can control weeds. Organic production requires a lot of repetitive work as the beds are constantly plowed and weeded. Meanwhile, sourcing seasonal workers, mainly foreigners, has become increasingly difficult. We want to look to the future of farming and Robotti fits our setup perfectly.” Designed and manufactured by Agrointelli, the Robotti 150D is controlled automatically by GPS via an integrated computer, independent of the operator, instead following a pre-programmed route in the field. Tractor Robotti 150D. Source: Agrointelli. “Accuracy lies in the GPS mapped field, with Robotti always taking the exact same lines,” explains Frederik Rom, sales manager for Agrointelli. It is equipped with an RTK GPS, so setting up on any farm is simple. It takes about 10 minutes to map the 4-acre field at Home Farm and another 10 minutes to log the weeding plan into the system. It is important that this is correct from the start, as it will determine reliable performance.”

Owning a small house in the middle of a green hill, separate from the noisy city life, is the desire of many people? With this in mind, master craftsman Jeffery Broadfield and a construction team from Smith and Primmmer created a robotic recycling house in the middle of a Berry field (Australia). The house has an area of ​​​​9m2, allowing two people to live together and still have their own space. The structure of the house is made mainly of recycled iron shells taken from a disused wharf, this material is intended to withstand the scorching rays of the Australian sun. The ground floor is a place to cook, store things and have a heating system for the house. The bedroom is located above and is accessed by a ladder. The bathroom is a deck behind the house with its own rainwater tank and toilet with a composting system. Water is collected on the roofs and then directed into a cistern above the bathroom, supplying water to the shower and kitchen. A wood-burning stove in a pot heats the cabin at night. Solar panels on the roof provide energy for lighting. In addition, the house has a ladder leading to the roof and acts as a lightning wire. If viewed from afar, the house looks like a wooden robot in the middle of a green field, realizing the dream of a peaceful resort but still fully equipped for modern people.

Nathan Copeland controls a robotic arm using electrodes implanted in his brain. Published in the journal Science, the team say their work demonstrates that adding sensation to the technology significantly improves the function of prostheses for quadriplegics, compared with based solely on visual cues. Nathan Copeland, 34, told AFP: “I am the first person in the world to have a device implanted in the sensory cortex that scientists can use to stimulate my brain directly. And then, I felt like I had a real feel in my flesh and blood hand.” In 2004, Copeland was involved in a car accident that left him with a severe spinal cord injury and quadriplegia. He volunteered for scientific research and six years ago he underwent major surgery to implant tiny electrodes in his brain. Two sets of 88 electrodes the width of a human hair are arranged like tiny combs and penetrate deep into the cortex, which controls motor function. According to Associate Professor Rob Gaunt of the Department of Physical Medicine and Rehabilitation at the University of Pittsburgh, co-leader of the study, fewer than 30 people in the world have received such a transplant. What’s unique about Copeland’s case is that an additional set of electrodes is connected to his dorsal cortex, which receives and processes sensations. The idea of ​​sending haptic feedback to the tactile sensory cortex dates back decades, but doing so in a controlled and understandable way by brain circuitry used to be a major challenge. After Copeland underwent surgery to install the electrodes, the team was truly thrilled. Then came the decisive moment, when they tried sending the first tactile signal. “It felt really fuzzy,” Copeland recalls. He asked them to try again to make sure it was real. Before the interface could work with the robotic arm, the scientists had to perform a series of tests on Copeland. First, they needed to learn which electrodes cause what sensation when activated and which fingers are associated with them in order to set up the robotic hand correctly. They also made him watch a video of the robotic arm moving left or right and recorded the electrodes lighting up when he was asked to “think” it was him controlling it. Copeland sat next to a black metal robotic arm and was asked to pick up a series of small objects such as rocks and spheres and place them in a box – when the tactile sensors were turned on or off. He can complete each task in an average of twice as fast when the sensors are activated, and can even perform more complex tasks like picking up a glass and pouring its contents into a glass. another cup. The team wanted to further refine the prosthetics because they didn’t want to just do science experiments in the lab, but wanted to actually make devices that would be useful to people. Copeland has set up his brain-computer interface at home when the Covid-19 pandemic shut down universities and has used his downtime to learn how to draw on a tablet and even play video games. death. He does this by using his mind to send signals directly to the computer, instead of using his arms to press buttons.

“A key element in Kia’s transition has been the transition from internal combustion engines to electric motors,” said President and CEO, Kia North America. With our strategic investment in the United States to produce electric vehicles, we are not only taking great strides toward leading the electric vehicle market, but also increasing our economic contribution to the countries in which we do business.” Illustration. The manufacturers also plan to work with local governments and businesses to expand hydrogen infrastructure in the US. Currently, Hyundai Group has signed a memorandum of understanding with the US Department of Energy to cooperate on the expansion and innovation of fuel cell technology. This includes the installation of hydrogen pumping stations for NEXO. Automaker Hyundai is planning to introduce an electric fuel cell commercial truck. The plan is to use these vehicles to replace diesel trucks for logistics services between seaports and warehouses. Earlier, Hyundai announced plans to buy a controlling stake in robotics company Boston Dynamics and has formed a joint venture with Motional, an American autonomous vehicle company. The company has plans for commercial use of the robot on the streets by 2023. “This investment demonstrates our strong commitment to the US market, our dealers and customers. Hyundai will lead the future of the auto industry in the US and around the world. Our efforts are positive proof that Hyundai will continue to pursue excellence in its current and future product lines,” said Jose Munoz, CEO of Hyundai Group. . Hyundai currently operates a plant in Alabama.

Welcome to the hotel of dinosaur robots. (Photo: Internet) The check-in process of visitors is easy when the two unique dinosaur receptionists at Henn na Hotel can speak 4 foreign languages: Japanese, English, Chinese and even Korean Country. Thanks to the tablet system, you can completely choose the method of communication with these interesting employees without having to worry about the language barrier. Coming here, you will experience the feeling of “interacting” with the robot dinosaurs. (Photo: Internet) More specifically, these two employees are also able to communicate using “body language” thanks to their long clawed hands and simple pre-programmed sentences. Passengers proceed to check-in with the “help” of the dinosaurs. (Photo: Internet) The hotel’s robots and management systems were designed by Kawazoe Lab, the Institute of Industrial Sciences at the University of Tokyo, and construction company Kajima. According to the hotel managers, the service robots here are very friendly and operate extremely efficiently. These dinosaurs are very friendly! (Photo: Internet) Not only stopping at the front desk, the interesting and uniqueness is still waiting for visitors when they come to the room. In each room, in addition to the necessary equipment that every hotel has, at Henn na Hotel, there are also small robot staffs that assist guests with everything from changing TV channels to turning on music. Inside a room at the Henn na Hotel. (Photo: Internet) Besides, this place is also equipped with many other modern technologies, such as not needing a key but using facial recognition to open the room door. Each room has sensors to control the lighting system, if no one is in the room, it will be controlled to turn off automatically. The space of the hotel is also designed in the style of “jungle” with different large and small dinosaurs. (Photo: Internet) Although most of the work is done by robots, the Henn na Hotel still has operators behind, especially the security department. Accordingly, security staff will monitor the hotel through the camera system to ensure the safety of guests as well as prevent the risk of expensive robots being stolen. These people also help with technical problems in the robots, if any. One of the branches of the Henn na Hotel. (Photo: Internet) In addition, housekeeping is a step that robots cannot do, so it also requires human hands. It is known that the price of staying at Henn na Hotel is about 9,000 yen ($72) per double room, much cheaper than other hotels of the same class.

iRobot S9+. S9+ is the most advanced robot vacuum cleaner from the American brand of robot vacuum cleaners – iRobot. The product comes with a dock that automatically collects garbage in the body. Users therefore only need to empty trash and dust from the dock instead of having to clean the drawer on the robot as often as with conventional products. The product uses the AllergenLock technology trash bag designed specifically for the S9+ to filter allergens such as pollen and mold. Half square and half circle machine, dual omnidirectional brush set, technology that is exclusive to iRobot, recently appeared on Ecovacs T9 AIVI series. Most of the latest technology on robot vacuums is available on the S9+, such as redrawing diagrams with a laser sensor using the vSLAM algorithm; identify obstacles, objects that cause obstacles, entanglement in the course of running; control via smartphone and map selection. Ecovacs Deebot T9 AIVI (13.5 million VND) T9 AIVI is Ecovac’s first robot line to integrate the Aeroforce dual-action rubber brush system shared from iRobot. As a result, the product has a higher suction efficiency, even with large garbage objects or stains sticking to the floor surface. This is also the top model with high suction power today, 3,000 PA, 300 ml garbage box capacity, 240 ml water box for cleaning, 5,200 mAh battery capacity. Compared with high-end robot lines, T9 AIVI has the most significant advantage of a vibrating cleaning system and an electric water regulating valve. The software on the machine also allows storing many different maps, suitable for multi-storey houses. Roborock S7 (12 million VND) Roborock S7. S6 Max proved “short of breath” compared to products from Ecovacs, Roborock has launched S7 with many technologies no less than the competition. The most significant upgrade is the Sonic Mopping water damper vibration mopping system that can vibrate 3,000 times per minute. The new wiping mechanism is significantly more effective than the old S6 Max series. However, the suction power of the machine is only kept at 2,500 PA and there is no dual rubber brush system like iRobot or Ecovacs. The S7 has a camera system that detects objects such as wires, socks, and baby items so that the device does not get entangled or entangled when operating. This camera can also be viewed directly from the phone. Neato Bootvac D7 (19 million VND) Neato Bootvac D7. Bootvac D7 from Neato has many similarities with iRobot S9+ in terms of half square, half round design. The company explains that this design helps to limit the omission of dirt in the corner. This is also a recognizable difference with most of the remaining robot models on the capital market, which are circular in shape. The machine also has a navigation system, laser map redraw, save multiple maps and select a cleaning area. Largest trash can capacity in the segment – 700 ml. However, the suction power of the machine is poor compared to competitors at 1,600 PA. Without the dual rubber brooms like Ecovacs or iRobot, the D7 has a broom that’s almost twice as long. The machine can also be controlled remotely via the application, schedule cleaning, create virtual walls …

“Mass production has begun. It’s no longer a test, it’s a robot that can appear in sci-fi movies because of its ability to fight independently. It’s exactly the weapon. of the future,” emphasized Sergei Shoigu. Russian Defense Minister Sergei Shoigu talks about the country’s military priorities. Photo: TASS. According to Sergei Shiogu, equipping the armed forces with such means is one of the top priorities. And Moscow has a lot of work to do to expand its line of complex, military-purpose robots. Many military experts estimate that, although Russia’s military budget is not as much as that of the US or the European Union (EU), the country has spent a great deal of it on “sharpening knives”. Earlier, the Russian Ministry of Defense said that the first unit with attack robots will be formed in the Russian armed forces to operate five robotic systems “Uranus-9” with 20 combat vehicles. Offensive and defensive strategies will be studied in a Department of Defense science center. An experimental Russian attack robot. Photo: Sohu. It is known that the Uranus-9 is a multifunctional combat platform developed by Russia’s 766 Technical Equipment Production Bureau, with a total weight of 10 tons, 4.5 m in length, 2 m in width, 1 in height. ,4 m and maximum travel speed is 40 km/h. This combat robot combines powerful firepower, is equipped with a comprehensive controlled weapon system including 4 9S120 “Bumblebee-M” anti-tank missiles, 4 9K33 SA-18 anti-aircraft missiles and 1 2A72 cannon 30mm caliber with 200 rounds ammunition and 7.62mm machine gun mounted on the vehicle. In theory, its anti-tank missile has a range of 5,800 meters, enough to threaten today’s major armored targets.

Photo: India Express It is known that on May 15, China confirmed that Tiawen-1 had successfully dropped the Zurong rover to the surface of Mars. This is a historic milestone that makes China the second country to successfully launch a probe on the Red Planet. In the past, only NASA has succeeded in landing and operating probes on the red planet. (The Soviet Mars 3 spacecraft landed on Mars in 1971 and remained in contact for only about 20 seconds.) The landing took place at Utopia Planitia, a flat land on Mars and the same area where NASA’s Viking 2 rover landed in 1976. After landing, the lander dropped the Zhurong rover – Powered six-wheeled robot named after the god of fire in ancient Chinese mythology. The spacecraft carries an integrated toolkit, including two cameras, a Mars subsurface probe radar, a Mars magnetic field detector and a Martian meteorological tracker. “This is the hardest place to land in the solar system,” said Emily Lakdawalla, author of “The Design and Engineering of Curiosity.” China’s success in its first attempt indicates that it is one of the most capable space agencies.” The European Space Agency also tried to land on Mars in 2003, but its Beagle 2 probe had problems. The ExoMars Schiaparelli spacecraft – another ESA (European Space Agency) effort also crashed in 2016 after software mis-estimated its altitude during a landing attempt. Photo: The Verge The Tianwen-1 spacecraft launched from Wenchang Launch Site in Hainan Province, China last July, embarking on a seven-month trip to Mars. China said that “Tianwen-1 has been operating normally since it entered the orbit of the Red Planet,” the China National Space Administration (CNSA) said in a statement on the morning of May 15. CNSA revealed that Tianwen-1 has collected a large amount of data and photos taken from the orbit of Mars. Andrew Jones, a journalist covering China’s activities in space, said that Tiawen-1 has been exploring the Utopia Planitia landing site for more than three months while orbiting Mars. Now, after a successful landing, the Zhurong rover will embark on a mission that will last at least three months to study Mars’ climate and geology. “The main mission of the Tiawen-1 mission is to conduct a comprehensive and extensive survey of the entire planet using orbiters and to bring the probes to surface locations of great scientific interest. focused to conduct detailed investigations with precision and high resolution,” the leading scientists wrote in Nature Astronomy last year. It is known that this expedition vehicle weighs about 240kg, nearly double the weight of China’s previous Yuto Moon. The CNSA said last month: “The Mars rover Zhurong is hoped to ignite the fire of China’s interplanetary exploration and guide humanity into the vast unknowns of outer space.” Photo: The Verge Before Tiawen-1 successfully landed on Mars, the United States also successfully landed 5 rovers on the surface of the Red Planet. More recently, on February 20, 2021, NASA’s Perseverance probe passed through the atmosphere of Mars and landed on the planet on a historic mission to recover rocks to help answer the question. whether life ever existed on Mars. Although this CNSA project is more than four decades behind NASA, this success of China shows that its space engineers are rapidly closing the gap with the US. Tiawen-1 marked a big step for China in the field of space exploration. Previously, China also became the first country to successfully land and operate a probe in the dark side of the Moon in 2019. Recently, China also successfully launched its first core module. Chinese space station. In the future, this will be inhabited by groups of astronauts in space. Earlier this year, China, in partnership with Russia, announced plans to build a space station on the surface of the Moon.

Industrial design students Minwook Paeng have just come up with a solution to make it easier to use your smartphone while on the road: the Third Eye robot eye. This is an eye-shaped robot that is fixed on the user’s forehead and detects obstacles in front of them when they use their smartphone on the road. This humorous device allows users to navigate while texting or surfing Instagram without worrying about being obstructed by real-world obstacles. This artificial eye has a translucent plastic shell, with internal components based on the open source electronic platform Arduino. It will be applied to your forehead with a thin gel pad. The device is integrated with a speaker and an accelerometer, which is a sensor commonly found on smartphones used to detect the orientation of the phone and automatically rotate the screen when necessary. The device is integrated with a speaker and an accelerometer, which is a sensor commonly found on smartphones used to detect the orientation of the phone and automatically rotate the screen when necessary. The accelerometer on the Third Eye detects when the user’s head is bent to open the plastic eyelid, revealing a sonar sensor. When detecting an obstacle ahead, the eye will emit a buzzing sound to signal the user. The use of mobile phones while crossing the street is increasing and affects public safety on the street. Even the city of Montclair in Southern California (USA) has introduced a law banning pedestrians from using phones or wearing headphones while walking across the street. First-time offenders will be warned, if they repeat the offense for the second time, they will be fined $100 (about 2.2 million VND), if they repeat the offense many times, the fine will be up to $500 (about 11 million VND). A scientific study has confirmed: people who use mobile phones will walk slower and even go sloppy. Due to paying attention to the phone screen so as not to type the wrong content or read the message correctly, the human observation ability will be narrowed, limiting the ability to detect obstacles and not avoid timely. As a result, accidents can happen whenever, for example, hitting other people or crashing into traffic. Please watch the video: Robot make in Vietnam knows how to do math. Source: VTV

The Global Times (China) on the morning of May 15 reported on the successful landing on Mars of the Tianwen 1 mission. According to RT (Russia), the Tianwen 1 (Tianwen-1) spacecraft of the China National Space Administration (CNSA) was successfully launched from Wenchang Launch Site on July 23, 2020 and orbited Mars since February 10 this year. This interplanetary mission is China’s second attempt to reach the “Red Planet” after the 2011 Mars mission of the Huang Huo 1 (Yinghuo-1) probe. Citing CNSA sources, Chinese state media confirmed that the Tianwen 1 spacecraft successfully landed the Zhu Rong (Zurong) rover on the Martian surface on the morning of May 15. Thien Van 1, weighing 5,000kg, includes an orbiter, a lander and a golf cart-sized rover called Chuc Dung, named after an ancient fire god in the god of fire. Chinese phone. Carrying the Chuc Dung rover, the lander endured “seven minutes of horror” as it plowed through the Martian atmosphere on a parachute support lander. The spacecraft landed in Utopia Planitia, the same area where NASA’s Viking 2 mission landed in 1976. Watch a simulation video of the Chinese lander’s landing on Mars: (Source: Global Times) Earlier, in a statement on the same day, CNSA said, “The Tianwen 1 probe has been operating normally since its successful launch on July 23, 2020”. The agency added that it had collected a “massive amount” of scientific data as the Tianwen 1 rover orbited Mars. “With the assessment of the flight status, the Tianwen 1 probe is scheduled to conduct a landing operation against the Utopia Planitia area at the appropriate location from the early morning of May 15 to May 19 according to the Beijing time,” the CNSA statement said. The Utopia Basin is the largest recognized basin on Mars, with a diameter of about 3,300 km. Graphic image of China’s probe landing on Mars. Photo: Space The image of Mars was taken from afar by the Thien Van 1 spacecraft. Photo: AFP. According to The Verge, China is planning to land a pair of robots on the surface of Mars, making a daring attempt to become the second country to successfully land and operate a rover on Mars. Red Planet. China launched the unmanned Tianwen-1 spacecraft from the southern island of Hainan in July 2020, with the goal of sending a rover to the surface of Mars to collect data about the source groundwater and look for possible signs of ancient life there. So far, only the US has successfully implemented the technique to bring the rover to Mars and operate it. After a journey of nearly 7 months, the Tianwen 1 spacecraft successfully moved into Mars’ orbit on February 10 and then sent back to Earth many high-definition pictures of the Red planet’s surface. Image of the surface of Mars taken by the Tianwen 1 spacecraft from a distance of 330 to 350 km. Photo: AFP. “The main mission of Tianwen 1 is to conduct a global and extensive survey of all of Mars using orbiters and to bring the probes to surface locations of scientific interest to conduct detailed investigations with precision and high resolution,” the Tianwen 1 mission’s leading scientists wrote in the journal Nature Astronomy last year. Long March 5B rocket, the same type that launched the Tianwen 1 spacecraft to Mars, during the launch event of China’s space station module in April. Photo: AFP/Getty Images Model of the Tianwen 1 probe. Photo: AFP The Tianwen 1 mission marks the latest step in China’s rapid succession of advances in space exploration. The country became the first country in history to land and operate a probe on the far side of the Moon in 2019. Beijing also completed a lunar sampling mission last December. , with launching a robot to the Moon and quickly returning it to Earth carrying soil samples. Tianwen 1 is China’s first Mars landing mission, but it’s not the country’s first attempt to send a probe to Mars. The first is a fairy orbiter called Huynh Hoa 1, launched in 2011 with Russia’s Phobos-Grunt mission. This ship did not go beyond Earth orbit after launch, plunged into the Pacific Ocean and was destroyed. Before the successful Mars landing of the Tianwen 1 mission, the US successfully landed 5 rovers on the surface of the Red planet. Most recently, on February 20, 2021, NASA’s Perseverance probe passed through the Martian atmosphere and landed on this planet, with the historic mission of bringing back the rocks to help answer the question. whether life ever existed on Mars. On May 28, 1971, the Soviet Union also launched the Mars probe Mars 3, nine days after its “twin” spacecraft, Mars 2, was launched. Illustration of the Soviet Mars 3 probe on Mars. While making a Mars landing on November 27, 1971, the Mars 2 lander crashed to the Martian surface and disappeared in a dust storm. Then, Mars 3 landed in the Ptolemaic crater area in the southern hemisphere of Mars on December 2 of the same year. At first it seemed that Mars 3’s landing went perfectly, but just 110 seconds after landing, the device disappeared in silence. Since then, the Russians have not received any signal from the ship.

After Charlton ordered the human staff, the second robot delivered the finished food to the customer. The food is neatly arranged on the tray. “Thank you,” Vicki Charlton said. The robot replied “Nothing”. Restaurant Mr. Q in South Florida (USA) uses robots to serve customers. Photo: Sun-Sentinel. For the past several weeks, Joy Wang, the owner of Mr. Q has difficulty recruiting waiters on weekends, when the number of visitors is too large. “A former employee once told me that they would rather stay home and get unemployment benefits,” Wang said. Due to not recruiting enough staff, Wang decided to use robots to assist in serving the restaurant. Last week, she bought three service robots for $30,000. According to the Sun-Sentinel , Mr. Q is one of the first restaurants in South Florida to use robots to serve customers. This trend also extends to Miami. In late March, REEF, an online restaurant service company, partnered with startup Cartken to produce a local food delivery robot. Matt Lindenberger, chief technology officer of REEF, said the electric robot can deliver goods in the downtown Miami area in 30 minutes. According to Lindenberger, the robots are the size of hot dog carts, which can climb up or down sidewalks, automatically avoiding cars and pedestrians. In addition to the reception robot, Mr. Q also equips a robot to serve food. Photo: Sun-Sentinel. “Applying service robots helps to save staff costs. Instead of using 5 people to deliver 5 orders, I can use 3 robots and a human,” Lindenberger said. In California, fast-food chain Chik-Fil-A also plans to use semi-autonomous robots for delivery, while Domino’s will deliver pizza by robot car in Houston. An employee at Mr. Q thinks it’s reasonable to apply robots because they don’t carry disease-causing viruses, don’t cough on food, don’t rest (unless they need to recharge). Instead, they are always happy, only interested in work. Michael Salcedo, waiter at Mr. Q said the older guests enjoyed Peanut. It also takes care of taking orders if another employee is busy. When bringing guests to the table, Peanut’s touch screen will display the menu. On special occasions, the robot can even sing “Happy Birthday” or “Merry Christmas” in four languages. Older diners enjoy being served by robots. Photo: Sun-Sentinel. Unlike Peanut, the restaurant’s two remaining service robots are unnamed. However, Salcedo prefers to call them Beavis and Butthead, because they often bump into each other in restaurants. Shaheen Maleki, restaurant manager Mr. Q said the robots are sometimes quite noisy. “There was a time when Peanut was about to run out of battery. It says ‘I have to go back. I had to go back by myself’, while we couldn’t find the volume button (to adjust the robot’s speakers)”, Maleki said that the service robot both attracts customers and helps the restaurant, but can also be annoying at times. . According to Maleki, many customers film the robot and then post it on the Internet to help the restaurant become more known. With large dining tables, a robot can serve food in one go, the job sometimes requires 3-4 people, or one person has to move many times. Various types of unique robots at the technology fair in Thailand Amazing robotic assistants helping with directions and serving food and medical robots were showcased at a recent tech fair in Thailand.

Fatima and one of his inventions. Building robots when you are 10 years old It all started when Fatima was 10 years old and created the first robot capable of taking pictures. She then quickly developed 12 other inventions, including solar charging bags for devices, robots that can replace sick students to school, power belts for the hearing impaired and intelligent steering systems. Block people from texting while driving. Now Fatima turns 18 and is a student in computer engineering at Virginia Polytechnic (USA). She has become an inspiration, paving the way for other women and girls to pursue innovation and STEM (science, technology, engineering and math). From a young age, Fatima was passionate about science and invention. She enjoys watching science fiction, documentary and technology shows. In addition, her parents have a technical background, which contributes to her passion for science and invention. “I was influenced a lot by the shows I watched, mainly about science. However, my living environment also has a lot of impact, including that my parents are engineers … all contributed to my hobby and personality, “said Fatima. The family plays a very supportive role for Fatima. At home, her parents help her and teach how to do small projects. Over time, Fatima became proficient with the skills and was able to enter the industry with the guidance and help of her parents. Overcoming challenges At the age of 7, Fatima is excited to learn about new industries and build exciting projects. However, over time, Fatima realized that it was very difficult to stay in the industry as a young girl. “There aren’t many opportunities and when I try to take the opportunities, people don’t take me seriously or think it’s just a temporary period and think I’ll find another job that is gender-appropriate. to me, ”Fatima said. However, over the years, Fatima said it is very happy to see the change in the gender gap that women have always suffered. “Today, there are a lot of resources that young children, especially girls, can use to educate themselves and build their own skill sets. In addition, the society is more advanced than the ideology of sexism and more open to women and girls in the field of technology, “Fatima said. The UAE’s youngest Inventor title reinforces Fatima’s progress. “It opened many doors for me and allowed me to grow as an inventor, helping me gain some validation in places where I was deemed unsuitable, even if it came with very much. many responsibilities. I am very honored to carry that title. Getting support and recognition from the government is one of the highlights of my journey ”. Fatima received the UAE Youngest Inventor Award. Inspire the younger generation Fatima is not the first female scientist and not the last to talk about it. The UAE government has made a great effort to encourage women in the field of science and technology. A 2018 Times Higher Education report states that more female students enroll in STEM than men in the UAE. The reason is attributed to the fact that the government empowers women through policies, the opportunity to ensure that female role models are included in science textbooks. Fatima said she is looking forward to the time when the title will be awarded to another ambitious inventor. For young inventors, she was determined to do all she could. She praised the companies that initiated CSR (corporate social responsibility) activities in providing young students a platform to explore more opportunities in the STEM industry. So when air-conditioning solutions provider Taqeef launched a 2020 version of the STEM iMatter curriculum, Fatima knew this was what she needed to be involved with. Designed to help students put theory into practice and familiarize themselves with the role of STEM in their future work, iMatter assigns students to find solutions to real-world climate problems. “The show has some of the brightest young brains with great ideas,” says Fatima. I took the opportunity to become a speaker at their event. I was delighted to hear that they enjoyed my speech and learned something from it. I was even happy to receive some feedback videos sharing participants’ experiences, insights and gratitude ”. Fatima said that programs like iMatter have created conditions for more students to experience STEM learning. If governments, business and society join hands to develop STEM education and embrace more opportunities, a huge difference will inevitably emerge and more scientists, innovators and entrepreneurs. next time. In addition to her studies, Fatima said, she is focusing on patenting some of her new ideas. “I hope to get masters and PhD degrees in artificial intelligence (AI). I aim to set up my own AI company in the future and become a professor in this field ”. Fatima affirms that the invention idea is very simple and anyone can do it every day in their life. What she sees as important right now is to foster gender segregation, engage girls and women in STEM, and provide them with an environment for growth.

According to Hot cars, a Korean company specializing in manufacturing Hanwha Defense military equipment has just completed a robotic military car called “Unmanned surveillance vehicle 6×6 – USV 6×6”. In it, this new vehicle was applied in the military after research and testing has been completed. Discover the Korean army’s first 6×6 unmanned reconnaissance vehicle After the performance of a flying device called Valkyrie Combat Drone, recently, information about the Korean USV 6×6 car was announced. This is a reconnaissance and highly combat robot car that meets the combat requirements set by the Korean military. Accordingly, this vehicle has reached level 6 readiness (TR6) for key capabilities such as autonomous driving, obstacle detection and avoidance as well as target identification and destruction. USV 6×6 and intelligent military equipment and vehicles manufactured by Hanwha Defense Company. This robot car model can be controlled remotely and can also “operate independently” according to a preset command. Thanks to the radar system, sensors, and cameras, it can self-avoid obstacles and follow the programmed route even in the event of loss of communication with the operator. According to Korea IT times, the 1.5-ton vehicle is fully electric with the main task of supporting infantry soldiers in various combat situations such as monitoring, logistics, and evacuation. casualties and combat participation. Model USV 6×6 reconnaissance vehicle will assist infantry soldiers in different combat situations. With the reconnaissance version, this vehicle is also equipped with a series of remote-controlled weapons, also designed and manufactured by Hanwha Defense such as 7.62 mm machine guns, 12.7 mm large machine guns, even including automatic grenade launcher 40 mm. Previously, in 2019, another unmanned vehicle was also developed by Hanwha Defense called the MPUGV 4×4 but with less equipment. Royal Union (According to Carscoops, Hanwha Defense, Korea IT times)

The delegates cut the ribbon to launch the training program of artificial intelligence and robot technology. (Photo: Thu Hoai / VNA) On April 24, Ho Chi Minh City National University held the launching ceremony of the Training Program artificial intelligence and Robot technology (AIC). The program is invested more than 32 billion VND, is part of the 320 billion VND sponsorship package of Inter-Pacific Group (IPPG) for National University of Ho Chi Minh City and Dalat University to establish a training school. CEO creation and AI education development. Held at the Software Technology Zone of Ho Chi Minh City National University, the STEM, STEAM interdisciplinary curriculum on artificial intelligence (AI) for students in age, level of education, right from grade 1. Regarding the document, the AI ​​Future Intelligent Manufacture syllabus of UBtech education USA Company copyrighted by IPPG, adjusted by the National University of Ho Chi Minh City, Vietnameseized, evaluated and published, put into teaching. This is also a program that has been taught by many advanced countries in the world. The program includes activities such as: AI-Robotics program and summer courses for students; teacher training course AI-Robotics from basic to advanced; organize seminars on AI-Robotics for the community and businesses. This is also a space to experience, introduce and display IT application solutions, artificial intelligence of domestic and foreign corporations, enterprises, and AI scientific products of students. University. Mr. Truong Minh Huy Vu, Director of Software Technology Zone, Ho Chi Minh City National University , sharing the process of Vietnameseization and document appraisal, in addition to the participation of teachers, scientists in the field of computer science and AI, there are also experts in social fields. language, pedagogy so that knowledge is closer to students and students. Building learning materials is a continuous process, so in the coming time, the curriculum of the program will continue to be improved and adjusted to suit with reality. Associate Professor, Dr. Vu Hai Quan, Director of Ho Chi Minh City National University, shared that the unit is currently participating in training and research on artificial intelligence both in depth and in width. In which, in depth, the National University of Ho Chi Minh City is preparing to establish the artificial intelligence research institute; at the same time undertaking the task of training high-quality human resources at international level, in which chaired many component projects on information technology, artificial intelligence … Along with that, the National University of Ho Chi Minh City also focuses on programs in width such as implementing training programs for artificial intelligence and technology. Robot , to spread knowledge about AI more to the community, especially among students; thereby provoking, transmitting passion for scientific research to students, discovering and fostering new factors in the field of AI research. Ms. Le Hong Thuy Tien, General Director of Lien Pacific Group, said the Artificial Intelligence and Robot Technology Training Program was the first center in IPPG’s AI education development strategy chain in 5 years. It is expected that from now to 2025, IPPG will coordinate with universities and educational institutions to establish 10 more AI centers and deploy 1,800 AI Lab at schools and educational institutions nationwide. with the goal of AI training for more than 2.5 million students per year./.

Uran-9 combat robot is 5.12m long, 2.53m wide, 2.5m high, with a total combat weight of 12 tons, is the most typical heavy fighting robot among many ground combat robots of the Russian army . Russian Uran-9 combat robot. Source: people.com.cn. The robot is equipped with various sensor modules including laser sensor, photoelectric sensor and thermal image sensor. It is capable of automatic target recognition and tracking. It can detect and track targets to a range of 3,000 meters and maneuver in either remote or automatic mode. The maximum road maneuver speed is 35 km / h and the continuous combat time is 6 hours. The robot is equipped with 1 30mm 2A72 cannon, 4 9M120 Ataka anti-tank guided missile launchers, or 6 RPO Shmel 93mm thermo-missile launchers and 1 PKT / PKTM machine gun. At the same time, the robot can also carry 9K38 surface-to-air missiles, 9K333 mobile air defense missiles and 9M133M anti-tank missiles depending on mission requirements. It can be said that robots can create “fatal” attacks against armored targets, low-range targets and infantry forces. Looking at the development and application of weapons and smart equipment of the Russian Army, it can be seen that Russia has embarked on a path of developing military equipment integrating artificial intelligence different from the West. . Especially from the development and application of the Uran-9 combat robot, three characteristics can be seen in the intelligent military development of the Russian Army. The first is to focus on the real warfare of smart technology. Compared with the West’s search for advanced intelligent technologies, the Russian Army places more emphasis on improving its practical combat capabilities. For example, the Uran-9 combat robot is strong enough to take on an armored infantry team. Heavy armored vehicles can cope with attacks from general infantry weapons and crawler chassis can adapt to complex terrain such as hills and mountains. Especially in the actual combat test in Syria, the Uran-9 combat robot has shown a high level of attack, defense and maneuverability, which can meet the actual combat needs of the ground forces. Russian troops in such missions as fire suppression, fire suppression and infiltration of enemy front lines. In general, the results achieved by the Uran-9 combat robot are due to a design philosophy that meets the practical combat needs. Second, improve the level of intelligence based on the advantages of motorized equipment. The Russian military has always had a strongly mechanized armed force, but its intelligence still has a certain distance from the West. To quickly close this gap, the Russian Army has chosen to push the development of intelligent military equipment in the direction of modularization. The Uranus-9 combat robot’s armor, weapons and chassis are the products of the era of mechanization, while sensors, fire control systems and automated algorithms are products of the age of intelligence. . Through the combination of these two methods, Russian combat robots can quickly adapt to the battlefield in the future. Based on this method of combining traditional equipment with this advanced technology, the Russian military is developing smarter weapons and equipment. Third, to address the shortcomings of conventional forces to develop intelligent weapons and equipment. Under Western containment, it was difficult for the Russian Army to develop conventional weapons and equipment on a large scale and expand its military might. In the face of NATO’s increasingly intense military pressure, Russia needed to compensate for the shortcomings of conventional military might in a manner consistent with its economic requirements. In terms of military might, the newly formed Uran-9 combat robot unit can be said to fulfill this requirement completely. Compared to the involvement of an armored infantry army, the military costs and the risk of the robot unit’s casualties are much lower on the battlefield, which is one of the key reasons why the Russian Army plans to increase. The proportion of unmanned weapons and equipment in the military by 2025 is 30%.

However, progress in military science has not stopped, in order to reduce the casualties to soldiers on the battlefield, some countries are experimenting with new forms of combat with the creation and use of systems. automatic robot. In terms of strength, they have the ability to replace a mechanized company. Russia is also not lagging behind the general trend. At present, Russia owns a number of robot combinations of different classes: Platform-M and Nerekhta weigh only 1 ton, Companion weighs 7 tons and finally heavy vehicles remotely controlled. 15 tons of Vikhr, built on the basis of the BMP-3 infantry fighting vehicle. Field tests have shown that the most successful option is the Uran midsize robot program, which aims to shape the appearance of a versatile and inexpensive multi-functional platform that can be easily modified for create final dedicated versions on that basis. Unfortunately, during the mission deployment in Syria, the Uran-9 robot and the Uran-6 revealed many shortcomings, leading to the need for corrections. Until 2019, the only real result of the program was that the Uran-6 remote bomb clearance vehicle was received by the Russian engineer force. The Uran-9 combat robot begins to return to the active part of the Russian Army Then came the modernized Uran-9 infantry escort robot platform, the first version of which was briefly tested in Syria. Today this combat vehicle is equipped with a 30 mm automatic cannon, 4 Ataka anti-tank missiles and six Shmel-M thermo-missile launchers. The Uran-9 robot complex is capable of destroying any armored vehicle at a distance of up to 5 km, as well as handling reconnaissance missions, suppressing enemy laser navigation systems and smoke curtain settings. The Russian army has begun to set up an experienced unit equipped with the aforementioned robot complex. According to the current plan, after the completion of the production of the order and the training of the operator, the handover of the Uran-9 to the combat units will begin. After the above process, it is likely that the Uran-9 robot will return to the Syrian battlefield to re-evaluate the shortcomings that caused it to be “disgraced” that has been completely overcome or not.

Patents for exclusive protection have been issued by the US Patent and Trademark Administration Viettel High Technology Industry Corporation (VHT) has been granted 4 new international patents by the United States Patent and Trademark Administration (USPTO). Information was reported by the leader of Viettel High Technology Industry Corporation on the occasion of Intellectual Property Day April 26. Up to now, the number of industrial property protected continuously increased in the past 2 years, in particular, this unit has just been granted more patents protected exclusively in the US. According to VHT, the first patent is “Method of randomly dividing data in distributed multi-microprocessor systems” – OCS Research Center.This invention has helped Viettel fully own a system. charging in accordance with the specific needs of Vietnamese users; helping the operator proactively develop the billing system business to the international market at a time when only about 3 largest OCS providers provide for all carriers in the world. In 2020, this unit has 2 more patents, “Method of detecting water surface target in noisy environment, application in shore radar station” (Radar Center) and “Patent on supporting structure. force for parallel robot is by spring system with constant force ”. Representative of the Simulation Modeling Center said that the invention of the supporting mechanism for parallel robot with a spring system with constant support is used to support parallel robots in the field of motion simulation, contributing to reduce manufacturing costs, increase the life of the robot while ensuring that the load and workspace criteria are met. Thanks to the power mechanism that reduces the force applied to the robot’s actuators by 50%, it contributes 25% to fabrication costs, 2 times longer robotic lifespan and suitable for systems with working loads. large, limited when choosing actuator. In April 2021, “The method of adjusting and controlling the power of the receiving line in accordance with the transmission environment in the base station system” – The Broadband Radio Equipment Research Center was officially released. Patent patents in the US. The system is set up according to the patented method and is capable of correcting and controlling the receiver’s power. At the same time, the patented method brings optimal efficiency when compatible with each type of transmission medium, overcoming the disadvantages of slow variation with old control, improving the quality of the network in particular and the indicators. Network KPIs in general … Up to now, Viettel High-Tech Industry Corporation has registered a total of 276 industrial property registration applications, of which 27 are international registration applications. The number of applications has increased dramatically since 2016. By 2020, to complete research on 48 core technologies applied to products, have registered and accepted 66 patent applications. According to Mr. Nguyen Cuong Hoang, deputy general director of Viettel High-Tech Industry Corporation, invention is a very long process and Viettel has done it 10 years ago. The number of patents represents the firm’s capacity. The capacity and strength of research units are reflected in intellectual property and granted inventions. Appraisal Center, Intellectual Property Department said, in the last 5 years, the number of patent applications of Viettel increased continuously. The fact that Viettel has 4 patents granted by the US is of great significance in asserting technological capacity and development orientation of market expansion of Vietnamese enterprises. Representative of Viettel High Technology Industry Corporation affirmed that protecting intellectual property by registering national and international inventions is an important basis for the enterprise to be the owner of core technology. is ready to integrate into the world, has full capacity to compete with international corporations. Patents protected by the United States are recognition of inventions, scientific research, thereby affirming that Vietnamese people can stand shoulder to shoulder with large technology corporations … Certificates of intellectual property rights is evidence to ensure the success of every business when entering the world arena.

The director, former deputy director, chief accountant of Bach Mai Hospital was arrested for overriding medical equipment prices and appropriating money from patients (Photo: Ministry of Public Security) This is the main content in the evaluation conclusion of the Rosa Robot surgery at Bach Mai Hospital, conducted by the Investigation Police Agency, the Ministry of Public Security. Collusion to “blow prices” on the pain of the patient The conclusion of the investigation of the criminal case, the request for prosecution of the Investigation Police Agency clearly indicated: Mr. Pham Duc Tuan – Chairman and Director of BMS Company – met with Mr. Nguyen Quoc Anh to offer to Bach Mai type robot Rosa costs 39 billion VND and Mako robot costs 44 billion VND in the form of joint ventures and associates. After that, Mr. Nguyen Quoc Anh decided to approve the joint venture to connect the device with BMS Company without going through the Party Committee, Board of Directors and Union of Bach Mai Hospital. Rosa robot imported by BMS Company from France to Noi Bai airport is 100% new and the original price is more than 7.4 billion dong, but it was agreed by Mr. Nguyen Quoc Anh and Mr. Nguyen Duc Tuan to bring to Bach Mai Hospital. at the price of 39 billion dong. Rosa robot is used in cranial surgery (Photo – medgadget) The investigation concludes that Nguyen Quoc Anh has created conditions for BMS to join the joint venture and install the machine at the wrong cost to collect money from the patient. / 2020, Bach Mai Hospital used this robot to perform cranial surgery for 639 cases, earning more than 22.9 billion VND. Bach Mai Hospital has paid the cost to BMS Company related to 551 surgical cases in the hospital. In particular, according to the assessment conclusion, the pre-surgery robot Rosa is more than 6.6 million VND / case but Bach Mai Hospital and BMS Company collect more than 23 million VND / case; enjoy the difference more than 16.5 million VND / shift. Up to now, Bach Mai hospital has just contacted, paid the difference above for 86 patients. Currently, the accused Pham Duc Tuan has paid 10 billion VND to pay the difference of 16.5 million VND for 551 cases of wrong collection. The police investigation confirmed: The behavior of the former Director of Bach Mai Hospital, BMS Company and other related subjects had an agreement, collusion, receiving each other’s will, taking advantage of the policy. mechanisms for socialization, joint ventures, and association in the health sector to act against the law, raise prices for medical treatment without a legal basis, cause property damage to patients and bring benefits to BMS Company and the same interest group in Bach Mai Hospital. Therefore, the Investigation Police Department has concluded, suggesting the Procuracy prosecute Mr. Nguyen Quoc Anh – former Director of Bach Mai Hospital – and 7 accomplices for the crime of “Abusing positions and powers in on duty ”under Clause 3, Article 356 of the Penal Code, occurred at Bach Mai Hospital. Is there a “gap” in medical socialization? The socialization of public services in general and in the health sector in particular is a right policy of the Party and State, contributing to mobilizing all social resources in the context of a tight budget. , to increase investment in facilities and equipment in order to improve the capacity and quality of medical examination and treatment services, to meet the diverse needs and increasing demands of all classes of people, as well as asking indispensable in approaching the world medical achievements of the medical team, doctors. Since 2007, Bach Mai Hospital has implemented many projects on socializing joint ventures, linking the installation of high-tech medical equipment, new techniques, helping patients in the country to be diagnosed. treat many complicated diseases at a lower cost than the overseas medical examination and treatment cost. Bach Mai Hospital (Photo – BVCC) The process of implementing a number of joint venture and medical equipment installation projects at Bach Mai Hospital has revealed the limitations, violations, and even committing crimes “Abusing positions and powers in on duty ”in implementing joint venture project, associated with BMS Company. Because Bach Mai Hospital is a special-class public health facility, the pressure of innovation and the expectation of patients of the family is great, so Mr. Nguyen Quoc Anh has directed the establishment of specialized surgical faculties to develop comprehensive development (Bach Mai Hospital was originally considered to have the advantage of internal medicine), attracting patients, increasing the income of the hospital and the income of the medical team. Therefore, Mr. Quoc Anh strongly agreed with BMS Company to install surgical assistive robots at Bach Mai Hospital, and at the same time, directed and requested Nguyen Ngoc Hien and the Accounting Department to implement the procedures for signing and putting the device into operation on February 27, 2017 (Vietnam Physician Day), bypassing the procedures and procedures in accordance with regulations. On the other hand, the fact that Mr. Pham Duc Tuan and the staff of BMS Company in the process of meeting with the leaders at Bach Mai Hospital with “external” money envelopes contributed to promoting the behavior of the defendants. From the above reasons, the Investigation Police Agency has pointed out that the main responsibility for the above-mentioned violation in the whole case belongs to Mr. Nguyen Quoc Anh – former Director of Bach Mai Hospital – the person with the highest authority. , decide policy, agree on equipment price with BMS, sign joint venture and association procedures. The case of the interest group at Bach Mai Hospital – headed by Mr. Nguyen Quoc Anh and BMS Company “blowing the price” of medical equipment to “eat” on the back of a serious patient has made public opinion frustrated. This incident is a warning bell on the risk of “gaps” in the socialization of the health sector not only at Bach Mai Hospital but also in other hospitals, in need of authorities. function to investigate, clarify and protect people from dangerous tricks of people holding high positions and positions, holding great power.

Tests with neutrobots have been performed quite successfully in mice. It can use intelligent biological camouflage and overcome difficult barriers to get closer to the source of the disease in the body and offer the best treatment. The Preeminence of New Micro Robots Microbots are nothing new, it’s like disguising robots into bacteria or using magnets to move them across blood vessels. But what sets Chinese scientists’ new micro-robot designs apart from the crowd is that it can overcome one of the body’s toughest biological barriers, the blood-brain barrier (BBB) ​​- a single layer. extremely high selectivity protection. Designed to stop pathogens and allow only nutrients to penetrate, BBB is the challenge of micro-robots that the body often considers an outside invader. It is very difficult for micro robots to cross this last line of defense and get closer to the hidden tumors behind it. One author of the above study is Professor Zhiguang Wu at Harbin Institute of Technology specializing in nanotechnology. The new micro-robots, he said, can overcome obstacles that hamper many conventional medical treatments. According to Professor Wu, “the passive diffusion of conventional drugs is subjected to a long, ineffective period of time and blocks biological barriers, which can lead to strong side effects. Meanwhile, the new swimming micro-robot / nano-robot, can move into hard-to-reach tissues using their propulsion, load different drugs and actively swim to diseased sites to transporting drugs ”. This is very important because when it comes to fighting cancer because the more targeted the treatment the better. It is especially true when it comes to brain tumors. Because the tumor is in a difficult position in the brain and BBB’s strong protection, drug treatment can be difficult, and removing the tumor requires brain surgery. Even then, usually only 90% of the tumor can actually be removed. In the past, micro robots were inspired by the way a bacteria or sperm move through the body. All light, acoustics and magnetic fields are used to propel them along the host’s body. Through it, a variety of biomedical tasks can be performed, including cutting the membrane, retaining the distributed drug in the gastrointestinal tract, and distributing the drug through the eye dropper. However, even though the researchers control the motion of these micro-robots more than typical drugs in the body, most micro-robotic designs still face one major hurdle: the body’s immune system, especially BBB. To fool BBB’s defense systems, scientists have designed a new micro-robot that is biologically camouflaged to “sneak through” the fence without being detected. The neutrobots are disguised and introduced into the bloodstream. How does the new micro robot work? The use of self-propelled, drug-dispensing micro-robots could open the door for scientists to get closer and more individual-based access to tumor treatment than oral or given medication. permission before. To treat glioma, a type of brain cancer, in mice, Professor Wu and colleagues have designed neutrobot-based micro-robots that can be controlled with a magnetic field. First, they created nanoparticles from a gel embedded with magnetic iron oxide particles, and the popular cancer drug paclitaxel. Next, these nanoparticles were encased in a disguised E. coli bacterial membrane. Disguised as harmful bacteria, these nanoparticles are submerged by in vitro mouse neutrophils much more easily than the bare nanoparticles that are not camouflaged. The researchers found that the camouflage also prevented drug leakage and made these particles less toxic to neutrophils. The research team tested the neutrobots’ ability to navigate and deliver drugs in vitro. Under the control of a rotating magnetic field, the neutrobots reach a speed of 16.4 µm / second – about 50 times faster than the natural neutrophil. By tracking the neutrobots under the microscope, the scientists can let them travel in complex directions on the artificial substrate. In their trials, the team showed that their neutrobots were able to successfully penetrate mouse BBBs to bring the drug into brain tumors. Despite these successes, scientists still have many things to do before they can be applied to humans. One issue that needs to be fixed, the authors explain, is how to better track each neutrobot as they pass through the body. Right now magnetic resonance imaging can track neutrobot groups as they move but cannot track individuals. “Our research has verified that treatment with neutrobots can prolong survival in mice with gliomas. Therefore, it may not be too long to bring stories about micro-robots in science fiction to reality, ”said Professor Wu.

Robotic dogs are trained to fight with French military trainees. According to the Daily Mail, Spot robot, priced at $ 75,000 (equivalent to 1.7 billion) was developed by Boston Dynamics (formerly a US robotics company but now owned by the umbrella corporation. Korea Hyundai as of December 2020). Close-up of robot dog worth 75,000 USD (1.7 billion VND). The robot dog is suitable for both indoor or outdoor use, can map the environment, feel and avoid obstacles, climb stairs and open doors. In particular, it can perform dangerous missions in a variety of harsh environments such as nuclear plants, offshore oil fields and construction sites or even on battlefields. Robotic dogs are trained in 3 combat missions with French military trainees. Despite being researched and developed by Boston Dynamics for many years, the robot dog was released to the market last June. One of the first customers to buy it was billionaire Elon Musk – founder of SpaceX Technology Corporation (SpaceX). The robot dog is currently one of the robots on the payroll of the French army. Robotic dogs proved to be especially useful in urban combat. “This is an expensive robot, especially for civil or police applications. New York Police (USA) are also testing it under the name Digidog. It has also been tested for anti-Covid antiseptic missions. -19 “, Clément Levilly, a robot distributor in Europe told Ouest France. The list of customers to buy this expensive robot dog includes billionaire Elon Musk. The military school Saint-Cyr has applied to robot dogs for 3 training scenarios – one is an attack mission: capture intersections; two are defensive missions during the day and at night; Finally, the combat missions in urban areas.

According to the article by author Sylvie Borau, posted above The Conversation, Gender imbalances in the AI ​​world are a widespread trend. The status of female robots more than male robots could have detrimental consequences for women in the future. So why do female AIs appear more than male AIs? Direction to more humane robots AI experts prioritize female sex when programming robots because there are factors in women that are more important than men. Specifically, women have more warmth and ability to experience emotions than men due to their sensitivity. For AI, emotional experience is the elements they can emulate humans. To research on this issue, Borau created evolutionary scales and surveyed more than 3,000 people to see personality such as warm, cheerful, friendly, orderly, polite … whichever more. Not only suitable for the current social context, female robots are also considered to be easier to learn emotionally than male robots. Photo: Wonderland Magazine. Based on research theory, women possess the extreme human qualities more than men. Therefore, female robots are also more “human” than male robots. The way female AI deduces also opens up favorable directions for AI problems. In general, the research results show that female robots are endowed with qualities appropriate to the current service context of society. We tend to trust a female robot more. According to the The Conversation, Programming experts consider women the right group to develop AI because they realize that this gender possesses the qualities of a superman. Risk of increasing gender inequality In the view of writer Kate Manne, the quality of women can overcome the invisible gender barrier. The fact that women make up the majority of AI also stems from the perception that women are more “human” than men. However, UNESCO warns that gender imbalances in the AI ​​world can create prejudices against women, for example that some will view women as obedient groups. In the future, if the number of female robots explodes, materialized prejudices may emerge. Photo: GeekWire. Sylvie Borau thinks the process of turning women into AI development agents can have many consequences. Accordingly, in the future, when too many female AIs with high authenticity appear, women’s perspectives are tools designed to meet the needs of the owner, which will implicitly form in society. This could potentially result in more disregard for and loss of human rights among more women. Researcher Borau calls this human materialization. In social philosophy, materialization ( Objectification ) is the treatment of a human being (sometimes an animal) like an object. Therefore, Sylvie Borau’s research also emphasizes the ethical issue that AI designers must pay attention to. Seeing women as the key target for AI development doesn’t deliver good results for an egalitarian robot world. According to Sylvie Borau, we need to take measures to prevent women from falling into such prejudices. For example a solution similar to Google. The company stipulates that its AIs will be assigned a random male / female voice with equal probability.

Country Garden restaurant (Guangdong, China) is “sold out” when the robot to cook and serve food at the table to the guests. Photo: Chinanews. The restaurant is about 2,000 square meters wide, has more than 20 types and a total of 40 robot chefs. Photo: SCMP These robots serve nearly 200 dishes. Some dishes can be processed as fast as a few seconds. Photo: Country Garden Robots can bring a feast of eyes and taste to nearly 600 diners at the same time. Photo: Country Garden The robotic restaurant serves a variety of dishes, from traditional Chinese dishes to fast foods like hamburgers and french fries. Photo: SCMP Customers can even be served the fastest robotic meal in 20 seconds after ordering. Photo: SCMP Pre-programmed robots cook the dishes according to the fixed recipe. Photo: SCMP In addition to fried dishes, the robot also quickly cooks many noodle dishes to serve diners. Photo: Country Garden After processing, the dish is delivered to the modern conveyor belt dining table. Photo: SCMP The up and down conveyor system brings food running along the ceiling area. Photo: SCMP However, robots cannot completely replace humans. For example, restaurant staff still have to bring food from robots to the table or assist with cleaning the table and cleaning it after the guests are finished eating. Photo: SCMP Video: What are the criteria for restaurants in Europe? Source: VTV24

Porsche cars are perfected on a new technological line Painting the body of a new Taycan on an assembly line at the Zuffenhausen factory previously required workers to move a tool weighing almost 7 with just the thumb 3,600 times per work day. It sounds strenuous, but Porsche has adopted a new system that eliminates that stress and improves quality by using patches to seal holes in the bodywork. These holes are not visible to the naked eye, but are intended to be filled by anticorrosive paints while in the paint shop. Once completed, these holes must be sealed so that they are watertight. If not, leaks will form. Taycan was not only the first Porsche to use this new patching method, but also the first car in the world to do so. The holes in the body of Taycan will be painted with new technology A total of 106 of the 143 holes in the Taycan body are now patch sealed in a very quick and automatic process. As noted previously, line workers do not have to push up to 3,600 plugs into holes in the body per shift. This new process is less complicated, faster and produces a higher quality product. The robot does this kind of work that looks like a barcode scanner. It only takes three minutes to do the whole job while 1 person needs more than seven minutes. Dirk Paffe, Paint Shop Process Planning Manager at Porsche: “The key feature of the solution is not just the seal itself, but also the automation of the process. We can glue patches in large quantities and at high cost, speed with absolute precision using a robot. ” New technology on Porsche Taycan will be spread on its models in the near future Does this mean that robots will soon take over all the work on the human assembly line at Porsche? Not at all, but making the worker’s life much easier and securing a better quality car.

▲On April 6, Yeedi, a brand of Cobos, signed a strategic cooperation agreement with Pinduoduo, and Pinduoduo’s “10 billion subsidies” and “limited time spike” will be tilted towards a large range of Cobos products. (Photographed by Li Lin)

In recent years, service-oriented home robots have gradually become a new fashion. Since its establishment, Cobos has been committed to bringing advanced products and high-quality services to users and their families. As an outstanding representative of “China’s intelligent manufacturing”, Cobos has successively exported “China-made” to more than 60 countries and regions with its top R&D team and advanced intelligent manufacturing technology.

According to data from Pinduoduo, since Cobos moved in last year, its products have sold nearly 100 million yuan on the platform. Li Gang, the head of the China region of Cobos, said, “Pinduoduo’s 790 million consumers cannot be ignored, and the platform has become the largest incremental market in the small home appliance industry, and it is also the e-commerce company that we will comprehensively deploy in the future. platform.”

It is reported that Yeedi’s official flagship store, which has recently settled on the platform, quickly won the favor of users due to its extremely high cost performance and thoughtful after-sales guarantee.

The “Double 100” after-sales policy of “100-day free trial” and “100-day purchase and refund” is a unique benefit provided by Pinduoduo users. During the event, during the 100 days from the consumer’s purchase, if there is a price reduction, it will be refunded at the difference, that is, the purchase is the lowest price; and if during this period, the user feels that the product does not meet the requirements, they can apply for a refund at any time , That is, from the original 7 days for unreasonable returns and exchanges, it has been extended to 100 days. It is understood that the “Double 100” after-sales policy will continue until the end of June this year.

Among them, the K600 sweeping robot is one of the main products of the store. With the support of the “10 billion subsidy”, it will be reduced by 481 yuan for a limited time, and the coupon can be purchased at only 518 yuan. At present, nearly 63,000 users have expressed their desire to buy. . For consumers who have already purchased, “clean sweep”, “large suction” and “no excessive noise” have become their common comments on the product.

▲ “Sweeping is very clean”, “big suction” and “no excessive noise” have become consumers’ common comments on the product.

At the same time, according to the content of the product reviews, the reasons why users buy this sweeping and washing 3-in-1 “artifact” are mainly divided into two categories: one is that young people buy it to be “lazy”, start it before get off work, and complete the correction when returning from work. The cleaning of pet hair; the other is bought for home use, which can effectively reduce the burden of parents’ housework.

In order to provide consumers with a better shopping experience, Pinduoduo also launched an upgrade of the home appliance service system, and formulated genuine invoices, home delivery, 48-hour delivery, and free shipping for the service quality of “Duoduoduo Appliances” merchants. , 7 days no reason to return and installment 7 service standards. The handling of issues such as logistics, surface consistency, installation, quality, return and exchange, maintenance, personal injury, and invoices requires a “user-oriented” principle to be resolved.

The person in charge of Duoduo Electrical Appliances said, “The platform relies on its own big data advantages, through continuous insights into users’ precise needs for electrical appliances, to judge the latest consumer trends, and subsidize the goods consumers need. Genuine products are low-priced and after-sales are guaranteed. It is our unchanging commitment to users.”