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Tiangong Ultra Humanoid Robot Sprints 100m Faster Than Usain Bolt

A humanoid robot in Beijing recorded a 9.39-second sprint, surpassing the human world record.

TechNewsReel Newsroom · August 23, 2026

A humanoid robot has recorded a 100-meter sprint time that exceeds the fastest human performance in history. The Tiangong Ultra achieved the mark during a demonstration in Beijing, signaling a potential shift in the physical capabilities of bipedal machines.

During the World Humanoid Robot Games in Beijing, the Tiangong Ultra logged a sprint time of 9.39 seconds. This performance nominally shatters the established human world record of 9.58 seconds set by Usain Bolt. The event highlights the rapid acceleration of humanoid robotics, where the focus has shifted from simple stability to high-velocity locomotion.

The Push for Robotic Agility

This milestone comes amid a global surge in humanoid robotics development. For years, the primary challenge for bipedal robots was maintaining balance while walking or navigating uneven terrain. However, recent advancements in actuator power and real-time balance control have allowed developers to push these machines toward athletic speeds. The Tiangong series is part of a broader effort to integrate high-speed movement into a humanoid form factor, moving beyond the slow, deliberate steps associated with earlier robotic generations.

Implications for the Industry

If these results are fully verified and reproducible, they represent a significant leap in robotic engineering. Achieving a sub-9.4-second sprint requires an extraordinary level of torque and precision in the robot's joints, as well as a control system capable of managing immense kinetic energy without collapsing. This demonstrates that humanoid machines can now exceed the peak physical capabilities of the fastest humans, opening the door for robots to operate in environments that require rapid response times and high-speed mobility.

Future Outlook

While the 9.39-second mark is a landmark figure, the robotics community will be looking for further independent verification and data on the robot's consistency. Observers will be watching to see if this speed can be maintained over longer distances or in varied environments outside of a controlled track. As the gap between human and machine physical performance closes, the focus is expected to shift toward how this speed can be utilized for practical applications in search-and-rescue or industrial logistics.

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