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A weighted least-norm solution based scheme for avoiding joint limits for redundant joint manipulators

机译:基于加权最小范数解的方案,可避免冗余关节机械手的关节限制

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It is proposed to use weighted least-norm solution to avoid joint limits for redundant joint manipulators. A comparison is made with the gradient projection method for avoiding joint limits. While the gradient projection method provides the optimal direction for the joint velocity vector within the null space, its magnitude is not unique and is adjusted by a scalar coefficient chosen by trial and error. It is shown in this paper that one fixed value of the scalar coefficient is not suitable even in a small workspace. The proposed manipulation scheme automatically chooses an appropriate magnitude of the self-motion throughout the workspace. This scheme, unlike the gradient projection method, guarantees joint limit avoidance, and also minimizes unnecessary self-motion. It was implemented and tested for real-time control of a seven-degree-of-freedom (7-DOF) Robotics Research Corporation (RRC) manipulator.
机译:建议使用加权最小范数解来避免冗余关节机械手的关节极限。为了避免接头限制,使用了梯度投影法进行了比较。尽管梯度投影方法为零空间内的关节速度矢量提供了最佳方向,但其大小并不是唯一的,并且可以通过反复试验选择的标量系数进行调整。本文表明,即使在较小的工作空间中,标量系数的一个固定值也不适用。所提出的操纵方案会自动选择整个工作空间中合适的自我运动幅度。与梯度投影方法不同,此方案可确保避免关节极限,并最大程度地减少了不必要的自运动。它已实现并经过测试,可以实时控制七自由度(7-DOF)机器人研究公司(RRC)机械手。

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