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首页> 外文期刊>IEEE Transactions on Robotics and Automation >Dynamic hybrid position/force control of robot manipulators-on-line estimation of unknown constraint
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Dynamic hybrid position/force control of robot manipulators-on-line estimation of unknown constraint

机译:机器人机械手的动态混合位置/力控制未知约束的在线估计

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摘要

A dynamic hybrid position/force control method, which takes into consideration the manipulator dynamics and the constraints on the end-effector specified by the given task, is obtained by extending the method of M.H. Raibert and J.J. Craig (1981). One difficulty in implementing the method is that precise information on the size and position of the object with which the end-effector contacts is not usually available. To cope with this difficulty, a problem of dynamic hybrid control with unknown constraint is studied. An online algorithm is developed that estimates the local shape of the constraint surface by using measured data on the position and force of the end-effector. It is shown by experiments, using a SCARA-type robot, that the combination of this algorithm with the dynamic hybrid control method works fairly well, making the dynamic hybrid control approach more practical.
机译:通过扩展M.H.的方法,获得了一种动态混合位置/力控制方法,该方法考虑了机械手动力学和给定任务所指定的对末端执行器的约束。 Raibert和J.J.克雷格(1981)。实施该方法的一个困难是,通常无法获得与末端执行器接触的物体的尺寸和位置的精确信息。为了解决这个困难,研究了具有未知约束的动态混合控制问题。开发了一种在线算法,该算法通过使用有关末端执行器的位置和力的测量数据来估计约束表面的局部形状。通过使用SCARA型机器人的实验表明,该算法与动态混合控制方法的结合效果很好,使动态混合控制方法更加实用。

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