With the continuous penetration of basic products in the consumer market, coupled with the in-depth development of AI and intelligent technology, the sweeping machine field has also set off a wave of intelligent reform. However, although intelligent planning cleaning is becoming the standard for current sweepers, there are still many problems to be solved in practical applications, such as power consumption and cost.
Chen Sikai, CEO of Shanghai Siwei Technology Co., Ltd.
From the perspective of professional manufacturers, Chen Shikai, CEO of Shanghai Siwei Technology Co., Ltd. believes: “For consumer products, we are more concerned about how to put the same functions at a lower cost/price, development cycle and ease of use. Becoming a specific product. Therefore, in product design and R&D, we need to pay as much as possible to 'zero configuration' to meet the needs of the general user 'out of the box'. At present, in terms of home application scenarios, Despite the technology such as laser radar, the sweeper navigation and positioning system still faces many problems to be solved. We have done a lot of efforts, for example, in terms of cost, our existing laser radar cost can be made lower. The problem of the cost of using the navigation and positioning module can be solved to a certain extent. We first did the laser radar. At present, our A2 laser radar can achieve the distance measurement of 16 meters radius, and the measurement flat distance can achieve 8K this year, and no There will be any changes in size and appearance size."
In addition to cost issues, power consumption is also a major problem at the moment. Chen Shikai stressed: "At present, regardless of SLAM's algorithm or path planning system, its complexity is relatively high. It is a bit difficult to run the mainstream laptop. The convex optimization algorithm in SLAM is not able to operate online, it must be offline. Perform calculations, so you will encounter problems when using the technology in actual products. For example, we are giving a level of hundreds of watts, but the capacity of a sweeping robot battery itself may be only 20 watt-hours. The sweeping robot has a laptop running the SLAM algorithm, and it may not be charged in less than an hour. This is totally unacceptable."
“Our solution is to minimize the volume and computational performance of the navigation and positioning system through highly algorithmic optimization and integration.†Chen Shikai further added that traditional information machines and open source algorithms can now be implemented in the coin-sized SLAM WARE. It is possible to complete all the SLAM planning at 2 watts, and the volume and heat can be greatly improved. In some cases, for example, we have recently released an open source reference platform based on laser radar and navigation and positioning system. This is the smallest system with laser autonomous positioning navigation that can be realized. It is characterized by only need dry battery to supply power. And achieve a standby time of more than two hours. The problem of power consumption in the front can be greatly solved. In actual products, users will not use dry batteries now. Many users will use rechargeable lithium-ion batteries to allow robots to achieve standby time of more than 8 hours.
On the other hand, in the actual use scenario, for the navigation and positioning problem, the environment structure of the home is completely unclear after the robot is turned on, which puts forward a common requirement for the path planning algorithm, and the map needs to be pre-drawn. .
In this regard, Chen Shikai explained: "This is a contradiction. I hope that this robot will work when it is in the environmental position, but some mainstream algorithms still need a pre-built or pre-exploration of the map or environment before they can be launched. Some algorithms. So the industry needs to do some extra work. We have loaded a new path planning system in the existing SLAM WARE system. Just like playing StarCraft, we can give a preliminary path planning. The robot continues to explore, the path can be refined step by step, and the action can be launched when the map is even completely unknown and partially unknown. In addition to this basic function, many other algorithms are needed, such as autonomous environment exploration and map construction. This is the standard for robots with navigation and positioning. Because for the unknown environment, you must first explore the environment and frame the cleaning area. There is also a non-computational problem, such as how the map is presented, and any new ones are currently used. Technology will bring rising costs and costs Often accompanied by a functional premium, manufacturers must upgrade new features to a level that users can perceive. If the robot has laser navigation and map building capabilities, it will be very desirable to let the user see the robot actually draw the map. At this time, there is a psychological problem. A picture is a map effect that a person thinks the robot draws. However, in many cases, the map given by the SLAM system is not bad, but it is not very good. If I show it It's such a map, it will create a big obstacle in the user's mind, he will think that this product does not seem to be worth the price. Moreover, when implementing the navigation and positioning system, it will also pay attention to another thing. This thing will not be considered by the robot, but it is more important for people, that is, the fineness of composition, which is the direction in which the current thinking is trying."
President of Cobos International Business Division
As the leader of the domestic sweeper market, Cobos is more optimistic about the "global planning" approach. Qian Cheng, president of Cobos International Business Department, said: "At present, there are a lot of planning and design products in the sweeping machine market, but there are also big differences among brands, such as global planning and ordinary path planning. Too similar. For traditional sweepers, which are not visually capable, we give them the ability to detect, recognize and memorize the overall home environment from the perspective of artificial intelligence, thus achieving 'global planning', which we believe is The current mainstream development trend of the industry at the technical level."
For specific productization plans, Qian Cheng told reporters: "For example, on DG3, we have deployed the same type of products for smartphones, smart computers, digital TVs, and the same type of Cortex in the fields of automotive electronics and aerospace. The A9 processor, the Cortex-A9 can handle multitasking and the processing speed is greatly improved compared to the inefficient processing of a single chip. This chip makes 'global planning' more efficient. In addition, we It also configures the LDS lidar ranging sensor, which is used in the industry nowadays, and cooperates with the SLAM algorithm to intelligently identify the home environment and achieve accurate and rapid establishment of home maps and intelligent partitions. In short, Smart Navi 2.0 means sweeping robots. DG3 can quickly set up a home map, through our APP terminal to achieve the specified area cleaning, which point to sweep, and can be accurate to the specified point, where to sweep where, while you can set up a virtual wall or virtual Areas, areas that do not need to be cleaned, and where the user does not scan, the user has the final say." (Editor: Zhen Peng)
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