Collision detection enabled weighted path planning: a wrist and base force/torque sensors approach

Shujun Lu, J. Chung
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引用次数: 19

Abstract

This paper presents a collision-detection enabled weighted path planning approach for a robot sharing the same workspace with humans. Using base and wrist force/torque sensors, a model based method is proposed to detect the collision forces and disturbance torques on the joints of the manipulator; then a weighted path planning approach is developed to control the interaction. The experimental results illustrate the validity of the developed collision detection and planning scheme
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碰撞检测支持加权路径规划:手腕和基础力/扭矩传感器方法
针对与人类共享同一工作空间的机器人,提出了一种基于碰撞检测的加权路径规划方法。采用基础力/扭矩传感器和腕部力/扭矩传感器,提出了一种基于模型的方法来检测机械手关节上的碰撞力和扰动力矩;然后提出了一种加权路径规划方法来控制相互作用。实验结果验证了所提出的碰撞检测与规划方案的有效性
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