A singularities avoidance method for the trajectory planning of redundant and nonredundant robot manipulators

R. Mayorga, A. Wong
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引用次数: 41

Abstract

In this paper, a singularities avoidance method suitable for the trajectory planning of redundant and nonredundant robot manipulators is presented. This method is based on establishing proper bounds for the rate of change of the Jacobian matrix of the transformation between the joints speed and end effector Cartesian speed These bounds are computationally inexpensive and easy to deal with by their conversion into additional constraints for any optimization problem which may be formulated to obtain the local or global optimal control of the robot manipulator. Here, this approach is exemplified for the trajectory planning problem of a particular type of redundant and nonredundant robot manipulators studied under an optimal control problem formulation. For each case, this problem is treated as a minimum energy problem with given kinematics and dynamics and subject to the robot requirements, tasks, and the additional singularities avoidance constraints; resulting in a state constrained continuous optimal control which is solved numerically.
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一种冗余和非冗余机械手轨迹规划的奇异避免方法
提出了一种适用于冗余和非冗余机械手轨迹规划的奇异避免方法。该方法基于为关节速度和末端执行器笛卡尔速度之间的变换的雅比矩阵的变化率建立适当的边界,这些边界计算成本低,并且易于将其转化为任何优化问题的附加约束来处理,这些优化问题可以被表述为获得机器人机械臂的局部或全局最优控制。本文以一种最优控制问题表述为例,研究了一类特殊类型的冗余和非冗余机器人机械手的轨迹规划问题。对于每种情况,该问题都被视为具有给定运动学和动力学的最小能量问题,并受机器人要求、任务和附加的奇点避免约束的约束;得到了一个状态约束连续最优控制问题,并对其进行了数值求解。
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