Regularization of the differential inverse positioning problem of an elbow manipulator

D. Drexler
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引用次数: 3

Abstract

Solution of the differential inverse positioning sub-task is an important problem in robotics, that is burdened with kinematic singularities. This problem can be handled by regularizing the task Jacobian, however this requires the knowledge of the regularization vector. A candidate for the regularization vector for an elbow manipulator is given, and it is proved that this candidate can be used in almost every configuration. The candidate is the linear velocity generator of the last joint, so the calculation of the regularization vector does not require high computational capacity. The smallest singular value of the regularized task Jacobian is further analyzed in different singular configurations.
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肘形机械臂微分逆定位问题的正则化
微分逆定位子任务的求解是机器人技术中的一个重要问题,它具有运动奇异性。这个问题可以通过正则化任务雅可比矩阵来解决,但是这需要正则化向量的知识。给出了肘关节机械臂正则化向量的候选向量,并证明了该候选向量几乎可以用于所有构型。候选对象是最后一个关节的线速度生成器,因此正则化向量的计算不需要很高的计算能力。进一步分析了不同奇异构型下正则化任务雅可比矩阵的最小奇异值。
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