China's humanoid robot sector faces '99.9% efficiency' hurdle, founder admits

Humanoid robots, hailed as the next frontier in AI and automation, still face a long road to widespread integration into the human workforce. The main challenge for Chinese manufacturers, according to industry insiders, is not the physical construction of the robots, but their ability to perform tasks reliably and efficiently. Achieving a task completion rate of 99.9%, a significant leap from the current 80%, presents a major test of engineering and training capabilities.

Wang Xingxing, founder of Chinese humanoid robot maker Unitree, acknowledged these limitations at the World Robot Conference in Beijing. He noted that current robots lag behind human efficiency and require time to learn new skills, acting as a bottleneck for the industry's development. This comes as Unitree experienced a volatile stock market debut, with shares soaring on IPO day only to fall sharply the next, underscoring the gap between market expectations and commercial reality.

“

We need solutions. We don't care if it's a humanoid robot, a traditional robot, a collaborative robot, or even a robot at all.

In the U.S., the Federal Communications Commission (FCC) recently restricted imports of advanced foreign-made robots, including humanoid models. However, Jeff Burnstein, president of the Association for Automation, believes the impact is minimal currently, as U.S. factories primarily use Autonomous Mobile Robots (AMRs). Burnstein emphasized that American businesses prioritize problem-solving tools over a robot's appearance, stating, "We need solutions. We don't care if it's a humanoid robot, a traditional robot, a collaborative robot, or even a robot at all."

Keenon, another Chinese robot developer, is integrating humanoid robots with simpler delivery robots for tasks like hotel laundry services, partnering with chains like Buffalo Wild Wings and Hilton. While Keenon has shipped over 100,000 robots, operations chief Wan Bin highlighted the immense difficulty in scaling task completion rates from 80% to the crucial 99.9% mark, a challenge that truly tests engineering and training prowess.

“

A task's completion rate of 50% is relatively easy, and even reaching 80% is still feasible, but when the target is raised to 99.9%, it truly tests the robot's engineering design and training capabilities.