Hybrid active/passive interaction control for robot manipulators

T. A. Shirey, R. Roberts
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引用次数: 4

Abstract

Motion control of robot manipulators is typically accomplished by sensing and regulating the positions of the joint actuators to cause the end-effector to follow a programmed trajectory. Unfortunately, position control schemes usually fail for tasks that require significant physical interaction between the robot and a workpiece. This restriction severely limits the scope of work that robots are able to do. A solution to this problem is to incorporate some form of compliance into the manipulator to compensate for positioning errors. Researchers have been focused on two principal methods of achieving manipulator compliance - passive mechanism synthesis and active force control - both of which have advantages and disadvantages. In this paper, the authors present recent advances in passive mechanism synthesis algorithms, and investigate the utility of combining a simple, passive mechanism with an active force control scheme to obtain a compliant manipulator with desirable characteristics for interaction control.
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机器人机械臂的主动/被动混合交互控制
机器人机械臂的运动控制通常是通过感知和调节关节执行器的位置来实现的,从而使末端执行器遵循编程的轨迹。不幸的是,位置控制方案通常失败的任务,需要显著的物理相互作用之间的机器人和工件。这一限制严重限制了机器人能够完成的工作范围。解决这个问题的方法是在机械手中加入某种形式的顺应性来补偿定位误差。实现机械臂柔顺性的两种主要方法——被动机构综合和主动力控制一直是研究人员关注的焦点,这两种方法各有优缺点。在本文中,作者介绍了被动机构综合算法的最新进展,并研究了将简单的被动机构与主动力控制方案相结合以获得具有理想交互控制特性的柔性机械臂的效用。
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