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REAL-TIME ROBOT MOTION PLANNING METHOD BASED ON FORCE FEEDBACK

机译:基于力反馈的实时机器人运动规划方法

摘要

A real-time robot motion planning method based on force feedback, which method is aimed at the problem of a mechanical arm being unable to perform smooth acceleration/deceleration motion under a relatively large cyclic posture correction quantity, and corrects an existing piecewise linear force and position control method. The method comprises: sensing an external acting force by using a six-dimensional force sensor, and acquiring a posture target correction quantity per cycle of each axis of a coordinate system; determining a posture correction quantity interpolation stride cardinal number per cycle of each axis by means of the maximum cyclic posture correction quantity increment of each coordinate axis during stable operation; and finally, approximating a cyclic posture target correction quantity of each axis by means of force and position conversion and interpolation. Oscillation caused by a change in a motion state when a mechanical arm starts or stops is prevented, and smooth motion during a force control process of the mechanical arm is realized.
机译:基于力反馈的实时机器人运动规划方法,该方法旨在在相对较大的循环姿势校正量下的机械臂无法执行平滑加速/减速运动的方法,校正现有的分段线性力和位置控制方法。该方法包括:通过使用六维力传感器来检测外部作用力,并获取每个轴的坐标系的每个轴的姿势目标校正量;通过在稳定操作期间通过每个坐标轴的最大循环姿势校正量增量确定每个轴的每个周期的姿势校正量插值阶段基数;最后,通过力和位置转换和插值近似每个轴的循环姿势目标校正量。通过在机械臂开始或停止时由运动状态的变化引起的振动,并且实现了机械臂的力控制过程中的平滑运动。

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