AI technology to overcome the challenges of car factory application
When it comes to the “working” scenario, humanoid robots also need to overcome a series of challenges.
“Humanoid robots integrate advanced technologies such as artificial intelligence, high-end manufacturing and innovative materials. Walker S also contains a brain, a cerebellum, and a limb, just like a human.” Zhou Jian introduced. Among them, AI technology is mainly applied to the perception of the “brain” and the motion planning and control process of the “cerebellum”. Walker S is equipped with a new generation of fusion control algorithm, which comprehensively improves the hardware performance, AI and motion ability of the whole machine.
UAD149 Take, for example, the completion of high-precision and smooth sticker work, which is a highly complex process for humanoid robots. Equipped with 41 high-performance servo joints and all-round perception systems such as multi-dimensional force perception, multi-vision stereo vision, omnidirectional hearing, inertia and ranging, Walker S has a comprehensive upgrade of visual positioning navigation, hand-eye coordination operation, gait control, multi-modal path planning vertical model and other technologies, which greatly improves the autonomous movement and decision-making ability. This allows Walker S to both “see” and “do it right.”
Even more difficult, the Walker S also has to achieve collaborative control with the factory’s manufacturing system. In Weilai workshop, how to identify the environment? How to perceive production plan, production vehicle model, machine speed and other information in real time? Since Walker S cannot be directly obtained by the ontology module alone, it requires the “Tiangong” intelligent manufacturing management system of the workshop to transmit information and instructions in real time. In this way, the two AI agents cooperate like old friends who have known each other for a long time.
How far is it from testing to commercial landing?
Since the beginning of this year, by focusing on the layout of automotive, 3C and other key areas of manufacturing, the company has continuously improved the humanoid robot tool operation and task execution capabilities, created humanoid robot production lines and factories, and achieved deep application in typical manufacturing scenarios.
UAD149 Through the deployment and application of humanoid robots in the real car building environment, it can continuously accumulate total factor production data, use AI technology to perceive, learn and iterate, achieve intelligent management closed-loop, and quickly adapt to new task requirements based on the autonomous learning ability of humanoid robots with embodied intelligence, and provide agile deployment in the manufacturing scene.
Talking about the challenges of future large-scale applications, Zhou Jian said: “The commercial landing of humanoid robots mainly faces problems such as safety, reliability and cost. At present, based on many years of full-stack core technology, we have accumulated more in safety and reliability, and gradually accumulated a large number of special technologies in automotive manufacturing scenarios, but cost control needs to promote further expansion of the application market.”
“It is expected that the humanoid robot entering the automotive factory will achieve small-scale delivery by the end of 2024.” Zhou Jian said. Next, based on the humanoid robot headquarters, Youmust will further consolidate the underlying technology, access the multi-modal large model, focus on breaking through the key technology of the humanoid robot system, launch the universal humanoid robot for the industrial scene, and realize the planning and delivery of common industrial scenes such as high-load logistics handling, equipment assembly, and quality testing. And then launch the large-scale mass production of “big cerebellar” fully embodied intelligent humanoid robots, achieve human-machine integration in a wider range of industrial scenes, and empower the high-quality development of the industry with new quality productivity.