China’s new humanoid robot offers 98% success rate, handles EV assembly


Xiaomi has reported new progress in deploying its humanoid robot on an automotive production line, with the machine achieving near-human performance after four months of improvements.

The robot’s success rate at a self-tapping nut loading station has reached 98 percent, reducing the gap with human workers’ qualification rate to just one percentage point.

The company also introduced two new manufacturing tasks—center console side panel sorting and parts bin folding and recycling—both reaching 90 percent success, including the robot’s first long-duration handling of flexible workpieces in a car factory.

In March 2026, Xiaomi announced that it had deployed humanoid robots in electric vehicle (EV) assembly operations in China, with it recording a success rate of 90.2 percent.

Industrial humanoid race

Xiaomi has announced significant progress in deploying its humanoid robot on an automotive production line, reporting improved performance across multiple manufacturing tasks after four months of continuous development and optimization.

According to the company, the robot’s success rate at a self-tapping nut loading station has increased from 90.2 percent to 98 percent, bringing its qualification rate to within just one percentage point of that achieved by human workers. The improvement reflects ongoing refinements to the robot’s perception, manipulation, and task execution capabilities in a real factory environment, reports Technode.

Xiaomi has also expanded the robot’s responsibilities by introducing two additional production tasks: center console side panel sorting and parts bin folding and recycling. Both tasks have reached a success rate of 90 percent, demonstrating the robot’s ability to perform a wider range of assembly and logistics operations on the factory floor.

The center console side panel sorting application represents a notable milestone, as Xiaomi says it is the first time a humanoid robot has carried out long-duration continuous operations involving flexible workpieces in an automotive factory. Handling flexible components is generally more challenging than rigid parts because they can deform, shift position, and require more precise perception and manipulation.

Robot factory challenge

In recent times, rival robotics firms like Figure and AgiBot have both used extended livestreams to demonstrate the real-world capabilities and reliability of their humanoid robots, shifting the focus from short promotional videos to continuous, unedited factory operations.

Figure streamed its Figure 02 humanoid performing logistics and warehouse-style tasks for more than 20 hours continuously. During the demonstration, the robot autonomously handled repetitive pick-and-place operations, transporting items between workstations while adapting to changing object positions. The livestream highlighted the robot’s ability to operate for long periods with minimal human intervention, although Figure did not disclose a formal task success rate. Instead, the company emphasized consistent autonomous performance, fleet management, and long-duration reliability as key milestones toward commercial deployment.

AgiBot has conducted several large-scale factory livestreams showcasing its humanoid robots in real manufacturing environments. In one widely reported demonstration, the company’s G2 humanoid operated for 64 consecutive hours on a tablet production line, completing 64,828 manufacturing tasks and contributing to the production of 17,625 tablets. AgiBot reported an overall 99.99 percent task success rate, making it one of the most detailed public demonstrations of humanoid robot reliability in industrial production.

More recently, AgiBot showcased further progress with humanoid robots performing automotive assembly tasks. After four months of optimization, the robots achieved a 98 percent success rate in self-tapping nut loading and 90 percent success rate in center console side panel sorting and parts bin folding and recycling, highlighting continued improvements in manufacturing performance.



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