高指标范数方法:一种冗余序列机械臂逆运动学的冗余解析方案

A. Singla
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引用次数: 2

摘要

研究了冗余度机械手逆运动学问题的高指标范数方法。众所周知,冗余机械手的逆运动学问题有无穷个解。在这些无穷多解中,只有满足某些优化准则(如关节力矩最小化、避障、避奇点等)的解是优选的。为了计算关节速度,常用的优化准则是利用关节空间中向量的欧几里得范数或无穷范数。研究了高指标范数解在冗余度机械手运动学逆解优化问题中的应用及其与其他范数解的比较。通过实例研究,证明了该方法在优化避开关节极限、避障等次要准则的同时,获得运动学逆解的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-index norm approach: A redundancy resolution scheme for inverse kinematics of redundant serial manipulators
In this paper, high-index norm approach towards inverse kinematic problem of redundant manipulators is investigated. It is well known that the inverse kinematics problem of redundant manipulator has infinite solutions. Out of these infinite solutions, only those solutions are preferred which fulfill some optimization criterion e.g joint toque minimization, obstacle avoidance, singularity avoidance etc. To calculate the joint velocities, the commonly practiced optimization criterion utilize Euclidean or infinity-norm of vectors in the joint space. This paper investigates the use of high-index norm and its comparison with other norm solutions, in formulating the optimization problem towards inverse kinematic solution of redundant manipulators. Several cases studies are reported to demonstrate the effectiveness of this approach to obtain the inverse kinematic solution, while optimizing secondary criteria like avoiding the joint limits, obstacle avoidance etc.
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