Pose-Shape Unified Planning of Cable-driven Serial Manipulators based on Multiple Arm-Angle Construction

Wenshuo Li, Bin Liang, Boyang Lin, Junxiang Li, Wenfu Xu
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Abstract

Cable-driven serial manipulator (CDSM) has slender body and high dexterity. Hence it has large potentials in confined space application. However, in terms of complicated motion, achieving overall shape planning and control for the manipulator as a whole has been rarely accomplished, greatly limiting the utilization of redundant degrees of freedom. Therefore, this paper proposes a pose-shape unified planning method based on multiple arm-angle construction and optimization. Firstly, we derive the multi-space mapping relationships, in particularly introducing the concept of arm shape for joint space and deriving the corresponding analytical expressions. Subsequently, we derive the Jacobian matrix of Multiple arm-angel, which theoretically guarantees the efficiency of planning and the ability to achieve acceptable goals in a globally feasible and stable manner. Simulations demonstrate that our framework enables rapid and efficient arm-angles planning while ensuring high pose accuracy. Finally, experiments are conducted using the CDSM to verify the arm's motion capabilities, including pose adjustment and maintaining arm shape during movement. Compared to other planning and closed-loop control methods, the results confirm the consistency and reliability of the arm shape and end-effector pose.
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基于多臂-角度结构的电缆驱动串行机械手姿态-形状统一规划
电缆驱动串行机械手(CDSM)具有纤细的机身和高度的灵活性。因此,它在狭小空间的应用中具有很大的潜力。然而,就复杂运动而言,实现机械手整体形状规划和控制的方法还很少见,极大地限制了冗余自由度的利用。因此,本文提出了一种基于多臂角度构建和优化的姿态-形状统一规划方法。首先,我们推导了多空间映射关系,特别是引入了关节空间臂形的概念,并推导出相应的解析表达式。随后,我们推导出了多臂天使的雅各布矩阵,从理论上保证了规划的效率,并能以全局可行和稳定的方式实现可接受的目标。仿真证明,我们的框架能够快速高效地规划手臂角度,同时确保高姿势精度。最后,我们使用 CDSM 进行了实验,以验证手臂的运动能力,包括姿势调整和在运动过程中保持手臂形状。与其他规划和闭环控制方法相比,实验结果证实了手臂形状和末端执行器姿势的一致性和可靠性。
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