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New Walking Algorithm Boosts Humanoid Robot Stability by 81%

Scientists develop a real-time control algorithm that improves humanoid robot balance by 81%, paving the way for safer real-world deployment in industry and daily life.

A new walking algorithm makes humanoid robots more stable.

Scientists have developed a new control system that helps bipedal robots maintain balance when they lose stability. The new technology is a real-time motion planning and control algorithm.

According to the authors, this is an important step toward creating humanoids capable of working alongside humans in real-world conditions. If the robot encounters an unexpected obstacle or loses its balance, the system quickly recalculates its movements and adjusts its steps, preventing a fall.

The algorithm was tested on the bipedal robot Cassie using a specialized CAREN running platform capable of moving in different directions. In the tests, the robot demonstrated significantly greater stability than without the new algorithm.

Overall, the new system increased the robot’s ability to restore balance by an impressive 81%. Scientists believe this development will form the basis for future humanoid robots that could work on ships, in industry, and even in everyday life.

Source: techxplore.com

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