Shulou(Shulou.com)06/03 Report--

With the continuous maturity of service robot-related technology, "personified" robots are becoming more and more obvious. in the future, service robots will replace manual work. Some people in the industry predict that in the next two to three years, the service robot industry will be a large-scale outbreak, and people's acceptance of robots will become higher and higher.

The development of service robots seems to be faster than we thought.

I do not know when to start, nearby restaurants have begun to use robots as waiters, "can talk and walk" and humanoid appearance, attracted a lot of children to stop, can not help feeling that the era of service robots is coming.

Robot restaurants featuring the concept of wisdom were once popular in the second half of 2018: Haidilao Wisdom Restaurant in Zhongjun World City in Beijing and Xiansheng Nanxiang Restaurant under Alibaba in Jiading District, Shanghai. and the first JD.com X Future Restaurant in Tianjin, where food delivery robots are in close contact with customers, making these three restaurants classic cases of service robots landing.

In fact, as early as two or three years ago, robot restaurants were very popular. At that time, a number of service robot restaurants appeared in Beijing, Shanghai, Guangzhou and other places, where robots served instead of manual workers. However, because the robot technology at that time was not mature enough, some restaurant robots could only run according to the established trajectory, and frequently broke down, resulting in the direct dismissal of robots and the re-use of human employees.

After more than two years of running-in, robots seem to be more and more adept at replacing manual work, with not only robotic arms responsible for serving dishes, but also food delivery robots that distribute products to the dining table, and disabled robots. But in the restaurant scene, the food delivery robot is the most accepted robot in the field of service robots.

From a technical point of view, the restaurant scene poses two tests for robots.

The main function of the food delivery robot is to deliver dishes from the kitchen to the diner's table. Based on the delivery requirements within the scope of this restaurant, technically speaking, the restaurant scene poses two tests for the robot: one is autonomous navigation and positioning to deliver dishes from the distribution room to near the table where the meal is ordered, and the other is to actively avoid obstacles, that is, to avoid pedestrians and obstacles on the way of distribution. These two points correspond to one of the core technologies in the field of service robots-SLAM (Real-time location and Map Construction). At present, in the service robot industry, different SLAM algorithms based on lidar or vision module have emerged one after another. However, at present, visual SLAM is still the mainstream direction of future research, and laser SLAM is a relatively mature positioning and navigation scheme.

Domestic Silan Technology has always been based on laser SLAM positioning and navigation technology, and is committed to providing robot autonomous positioning and navigation solutions and cost-effective lidar. More emphasis is placed on serving the robot industry, as well as supporting positioning and navigation systems. With these two as the core, there are two application points, one solution for a variety of robots, and the other for a relatively complete general-purpose platform. Just like the problem to be solved by commercial robots, how to draw map information and how to draw location information in unfamiliar environment is also an important autonomous positioning and navigation, or SLAM technology to solve the problem.

There are many solutions to this problem. Silan Technology has long been based on lidar. Through laser ranging sensors, the robot can obtain the location and outline information of its environment, draw a centimeter-level high-precision map, and cooperate with the single modular robot autonomous positioning and navigation system slamware, which can enable the robot to achieve autonomous positioning, automatic mapping, path planning and automatic obstacle avoidance, and indeed solve the problem of autonomous walking.

In order to reduce development time and development costs, Silan Technology has also launched a mature robot chassis that integrates a number of basic functions. For robot chassis ZEUS, it not only adopts domestic leading SLAM technology, but also integrates lidar, depth camera, ultrasonic, anti-fall and other sensor data, together with navigation algorithms, it can plan walking routes more flexibly.

When obstacles appear above the radar scanning area, fusion navigation technology will be used to fully sense the surrounding environment through depth cameras, ultrasound, and other sensors to avoid obstacles and re-plan the route. The use of ultrasonic sensors to accurately detect glass, mirrors and other high-transmission material obstacles, so as to avoid in time before approaching these objects.

After obtaining its own positioning and map data, the robot chassis ZEUS adopts the SLAMWARE autonomous positioning and navigation algorithm independently developed by Silan Technology, which integrates multi-sensor data to achieve autonomous obstacle avoidance, route planning and shuttle between various obstacles.

Conclusion

At the present stage of the development of service robots, the development of underlying technology and core technology is indeed very important, from the first generation of remote-controlled robots to the second generation of robots that walk according to preset programs. and then to the current intelligent mobile robot, which uses all kinds of sensor technology to obtain environmental information and uses positioning and navigation technology to make route planning, robot autonomous walking technology has made substantial progress. With the continuous maturity of the underlying walking technology, we will see service robots in more and more places in the future.

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