基于触觉交互的仿人机械臂避障控制

D. Tsetserukou, N. Kawakami, S. Tachi
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引用次数: 10

摘要

本文提出了一种通过触觉交互来避障的新概念。在仿人机械臂上实现了该方法的实现,光学扭矩传感器分布在机器人的每个关节上。当机械手与物体发生碰撞时,控制系统能使机械手平滑地沿着物体的轮廓运动直至到达目标点。这种方法不仅可以保证安全避障,而且可以获取必要的环境信息。文中详细介绍了物体刚度计算、接触点估计和形状插值的方法。对全臂智能避障机器人可能面临的任务进行了总结和说明。机器人手臂关节柔顺度的可控具有非常广泛的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Obstacle avoidance control of humanoid robot arm through tactile interaction
In this paper we introduce a novel concept of obstacle avoidance through tactile interaction. The implementation of the approach was realized on humanoid robot arm with optical torque sensors distributed to each robot joint. When manipulator collides with an object, the control system enables to follow the object outline smoothly till robot reaches the target point. Such approach ensures not only safe obstacle avoidance but also acquisition of indispensable information about environment. The methods of object stiffness calculation, contact point estimation, and shape interpolation are detailed in the paper. The possible tasks of the robot with intelligent whole-arm obstacle avoidance control are summarized and illustrated in this work as well. The controllable compliance of robot arm joint can be extremely useful in a wide range of applications.
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