Unitree Robotics founder: Robots' core bottleneck is solving millimeter-level work errors
Unitree Robotics founder Wang Xingxing believes the true breakthrough for robot performance will depend on the ability to solve work errors of just a few millimeters.
Hangzhou – Wang Xingxing, founder of Chinese robotics firm Unitree Robotics, has pinpointed a critical challenge in robot development: achieving millimeter-level precision in physical world tasks.
Speaking at the Global Digital Trade Expo in Hangzhou, Wang drew parallels between the current state of robotics and the impact of ChatGPT on artificial intelligence. He predicted a similar "ChatGPT moment" for the "bodied AI" sector, where industry explosion could occur when robots can handle 80% of tasks in 80% of unfamiliar scenarios via voice commands. He anticipates this tipping point could be reached within the next few years.
However, Wang identified the primary hurdle not in AI models' understanding, but in their capacity to precisely align digital commands with physical actions. "Currently, there are errors of a few millimeters in robot work. Whoever solves this problem will solve the problem of robots," Wang stated.
These concerns echo previous remarks from Unitree Robotics. In August, Wang cited current efficiency and capability limitations as reasons for the lack of widespread adoption in factory or home settings. "Simply put, although robots can perform some tasks now, their efficiency is still lower than humans," he noted.
Wang further explained that humanoid robots require retraining for new tasks, reducing overall efficiency. The company's focus is on developing more generalized and precise robotic capabilities before pursuing large-scale deployment.