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Experiments with Human-inspired Behaviors in a Humanoid Robot: Quasi-static Balancing using Toe-off Motion and Stretched Knees

机译:在类人机器人中进行人类启发性行为的实验:使用脚趾移动和伸直膝盖进行准静态平衡

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Humanoid robots typically display locomotion patterns that include walking with flat foot-ground contact, and knees slightly bent. However, analysis of human gait indicate that several physiological mechanisms like stretched knees, heel-strike and toe push-off increase the step length and energetic efficiency of locomotion. This paper presents an implementation of two of those mechanisms, namely stretched knees and push-off, on a quasi-static whole-body balancing controller. The influence of such mechanisms on the kinematic capabilities of the DLR humanoid robot TORO is analyzed in different experiments, and their benefits are thoroughly discussed. As a result, the energetic savings of balancing with stretched knees are shown to be of reduced magnitude with respect to the overall power consumption of the robot, and the ability of TORO for negotiating stairs is greatly enhanced.
机译:类人机器人通常会显示出运动模式,包括走路时脚掌与地面接触,膝盖略微弯曲。但是,对人的步态的分析表明,一些生理机制,例如伸展膝盖,后跟撞击和脚趾下垂会增加步距和运动的能量效率。本文介绍了在准静态全身平衡控制器上实现这两种机制的方法,即伸膝和下推。在不同的实验中分析了这种机制对DLR类人机器人TORO的运动学能力的影响,并充分讨论了它们的益处。结果,相对于机器人的总功耗,与伸展的膝盖进行的能量节省被显示为减小的量,并且极大地增强了TORO协商楼梯的能力。

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