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Optimal grasp planning for a dexterous robotic hand using the volume of a generalized force ellipsoid during accepted flattening

机译:使用在接受的平坦化期间使用广义力椭球的体积的Dexterous机器人手工的最佳掌握规划

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摘要

A grasp planning method based on the volume and flattening of a generalized force ellipsoid is proposed to improve the grasping ability of a dexterous robotic hand. First, according to the general solution of joint torques for a dexterous robotic hand, a grasping indicator for the dexterous hand-the maximum volume of a generalized external force ellipsoid and the minimum volume of a generalized contact internal force ellipsoid during accepted flattening-is proposed. Second, an optimal grasp planning method based on a task is established using the grasping indicator as an objective function. Finally, a simulation analysis and grasping experiment are performed. Results show that when the grasping experiment is conducted with the grasping configuration and positions of contact points optimized using the proposed grasping indicator, the root-mean-square values of the joint torques and contact internal forces of the dexterous hand are at a minimum. The effectiveness of the proposed grasping planning method is thus demonstrated.
机译:提出了一种基于广义力椭球的体积和平整化的掌握规划方法,以改善灵巧机器人手的抓握能力。首先,根据针对灵巧机器人手的联合扭矩的一般解决方案,提出了一种掌握手的抓握指示器 - 推出了通用外力椭球椭球的最大体积和通用接触内力椭圆体的最小体积。其次,使用掌握指示​​器作为目标函数建立基于任务的最佳掌握规划方法。最后,进行了模拟分析和掌握实验。结果表明,当使用所提出的抓握指示器优化的抓握配置和接触点的位置进行抓握实验时,联合扭矩的根平均方形值和搅打的手的接触内力最小。因此证明了所提出的掌握规划方法的有效性。

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