基于虚拟关节的多约束条件下双臂机械臂运动控制

D. P. Pagnotta, A. Freddi, S. Longhi, A. Monteriù
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引用次数: 1

摘要

本文提出了一种能够处理运动约束的双臂系统的运动控制器。根据相对雅可比法设计了运动控制器,实现了一对7自由度机械臂的协同运动。利用协作获得的运动冗余,沿主任务执行其他子任务。利用广义加权最小范数(GWLN)方法中提出的虚拟关节空间的概念,将约束条件包含在问题中。首先,对双臂系统的GWLN进行了重新表述,只包括关节极限规避子任务;然后,考虑了避障子任务,导出了约束数大于关节数时的新版本运动控制器。在Matlab-Simulink环境下对Baxter机器人模型进行了仿真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dual-Arm Manipulators Kinematic Control Under Multiple Constraints via Virtual Joints Approach
A kinematic controller for a dual-arm system able to cope with kinematic constraints is presented in this paper. The kinematic controller is designed according to the Relative Jacobian method to achieve cooperation of a couple of 7 DOF robotic arms. The kinematic redundancy obtained from cooperation is exploited to execute other subtasks along the main task. The concept of virtual joint space proposed in the General Weighted Least Norm (GWLN) method is employed in order to include the constraints in the problem. Firstly, the GWLN is reformulated for a dual-arm system, including only the joint limit avoidance subtask. Then, the obstacle avoidance subtask is also considered and a new version of the kinematic controller is derived when the number of constraints is larger than the number of joints. Simulation are performed on the model of the Baxter Robot, in the Matlab-Simulink environment.
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