Lei Jun Announces Results of Humanoid Robot Internship
Work Success Rate Reaches 98 Percent
Official Deployment to the Production Line Imminent

Since the beginning of this year, Xiaomi's humanoid robot, which began its internship at the company's automobile plant in China, has been performing complex manufacturing tasks with a high success rate and is now on the verge of full deployment to the production line.


According to multiple media outlets including China China.com on July 15, Lei Jun, founder of Xiaomi, recently shared the results of the company’s humanoid robot internship program through social media.

The Chinese company Xiaomi's humanoid robot was evaluated as successfully performing high-difficulty manufacturing processes with a high success rate. Xiaomi official Weibo.

The Chinese company Xiaomi's humanoid robot was evaluated as successfully performing high-difficulty manufacturing processes with a high success rate. Xiaomi official Weibo.

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Lei Jun stated, "After a quarter of diligent effort, the robot's screw tightening (fastening) success rate has improved to 98%," noting that this figure is only 1 percentage point lower than the pass rate of skilled human workers. As a result, the humanoid robot is soon expected to be officially deployed to on-site operations.


In addition, the Xiaomi humanoid robot is performing newly introduced tasks within the factory, such as center console side cover sorting and logistics box folding and recycling. Both of these tasks have achieved a 90% success rate.


According to the media, these processes are extremely challenging for robots because the parts are large and differ in shape, making the tasks difficult to execute. Throughout the operation of gripping and transporting the parts, the robot must demonstrate precise and flexible full-body movement control and force adjustment.

China's Xiaomi humanoid robot has been evaluated to perform complex manufacturing processes with high success rates. Lei Jun's official Weibo.

China's Xiaomi humanoid robot has been evaluated to perform complex manufacturing processes with high success rates. Lei Jun's official Weibo.

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Chinese company Xiaomi's humanoid robot has been evaluated as successfully performing high-difficulty manufacturing processes with a high success rate. Lei Jun's official Weibo.

Chinese company Xiaomi's humanoid robot has been evaluated as successfully performing high-difficulty manufacturing processes with a high success rate. Lei Jun's official Weibo.

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Xiaomi has equipped the robot’s fingers with force-sensing hardware and developed in-house technology that allows the robot to autonomously control its strength and speed according to the situation. As a result, even if the robot encounters obstacles during its tasks, it can adjust its posture on its own to complete the job.


In the logistics box folding and collection work, the robots utilize fine tactile sensing at their fingertips to accurately pull the box tabs, folding and stacking them smoothly using both arms. Furthermore, the robots are deeply integrated with the factory’s digital system, allowing them to read production tasks without paper documents, and multiple robots can move efficiently, in sync with production speeds, without colliding with each other.


In the logistics box folding and collection work, the robots use tactile sensing at their fingertips and move both arms to complete folding and stacking the boxes. China.com reported, "The robots synchronize their work status in real-time via the factory’s digital system, automatically adjusting to the pace of production," and "Multiple robots can work at matched speeds without colliding with one another."



However, there is still room for improvement in tasks such as aligning buckles without visual confirmation, which skilled workers can do intuitively. Xiaomi stated, "We plan to upgrade the force control algorithms to eliminate unnecessary adjustment steps and further increase work speed in the future." The company also noted that ongoing technological advancements and extensive engineering validation remain necessary.


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