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Combination of Hardware and Control to Reduce Humanoids Fall Damage

Xuechao Chen, Wenpeng Ding, Zhangguo Yu, Libo Meng, Marco Ceccarelli, Qiang Huang

Year
2019
Citations
6

Abstract

Most existing motion control methods for humanoids aim at avoiding falling. However, the humanoid is generally an unstable system that cannot completely avoid falling and it is difficult to cope with the sudden fall of a robot. This paper designs a planning method of fall protection for humanoids according to the human falling motion. This method changes the impact position between the robot and ground by adjusting the motion of the robot as it falls. To further reduce damage to the robot, an appropriate cushioning material is installed at the point of impact to buffer the robot. The effectiveness of the proposed method is verified for a BHR6P humanoid robot falling in simulations and experiments.

Keywords

Humanoid robotFalling (accident)Computer scienceRobotSimulationMotion (physics)Artificial intelligence

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