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Realization of Dynamic Stair Climbing for Biped Humanoid Robot Using Force/Torque Sensors

机译:利用力/扭矩传感器实现双足人形机器人动态爬楼梯

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摘要

This paper proposes a control algorithm for the dynamic stair climbing of a human-sized biped humanoid robot. Dynamic stair climbing can cause more instability than dynamic biped walking on the ground because stair climbing requires an additional vertical motions and a large step length. We assume that stair configuration is already known and only use force/torque sensors at ankle joint to achieve a control algorithm for a stable dynamic stair climbing. We describe a stair climbing pattern generation and stair climbing stages, and then propose a real-time balance control algorithm which is composed of several online controllers. Each online controller is addressed in detail with experimental results. Finally, the effectiveness and performance of the proposed control algorithm are verified through a dynamic stair climbing experiment of KHR-2.
机译:本文提出了一种用于人类两足类人形机器人的动态楼梯爬升的控制算法。动态楼梯爬升会比动态两足动物在地面上行走造成更多的不稳定性,因为楼梯爬升需要额外的垂直运动和较大的步长。我们假设楼梯配置是已知的,并且仅在脚踝关节处使用力/扭矩传感器来实现稳定的动态楼梯爬升的控制算法。我们描述了一个爬楼梯模式的产生和爬楼梯的阶段,然后提出了一个实时的平衡控制算法,该算法由几个在线控制器组成。每个在线控制器都有详细的实验结果。最后,通过KHR-2的动态楼梯爬升实验验证了所提控制算法的有效性和性能。

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