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A grasping force optimization algorithm for dexterous robotic hands

机译:灵巧机器人手的抓力优化算法

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摘要

The problem of grasping force optimization for a robotic system equipped with multi-fingered hands is considered in this paper. This problem is cast as a convex optimization problem, considering also joint torque constraints. A solution suitable for on-line implementation is proposed, which allows a substantial reduction of the computational load by dynamically decreasing the number of active torque constraints. Moreover, for the case of a bimanual manipulation system, a sub-optimal single-hand optimization algorithm is presented and compared with the optimal one. The effectiveness of the described methods has been tested in a simulation case study.
机译:本文考虑了装备多指手的机器人系统的抓力优化问题。考虑到联合扭矩约束,该问题被认为是凸优化问题。提出了一种适合于在线实施的解决方案,该解决方案通过动态减少有效转矩约束的数量,可以大大减少计算负荷。此外,对于双向操纵系统,提出了次优单手优化算法并将其与最优算法进行比较。所描述方法的有效性已在模拟案例研究中进行了测试。

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