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Grasping Planning of Multi-fingered Robot Hand by Bundle Trust Region Method

机译:捆绑信任区域法进行多指机器人手的抓取规划

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摘要

How to plan a proper set of contact points on an object so as to maximize the grasp capability is a common but generally difficult problem, which is mainly because of its nondifferentiable complexity. Subgradient methods are commonly used for finding solution, which converge slowly and require many iterations to reach an optimum. In this study, we adapt the bundle trust region method to the grasp planning problem for achieving fast convergence. The effectiveness of the algorithm to the planning problem is tested by numerical examples.
机译:如何在对象上规划一组适当的接触点以最大程度地提高抓握能力是一个普遍但普遍困难的问题,这主要是由于其不可区分的复杂性。次梯度方法通常用于寻找解,收敛速度慢,需要多次迭代才能达到最优。在这项研究中,我们将捆绑信任区域方法应用于把握计划问题,以实现快速收敛。通过数值算例验证了该算法对规划问题的有效性。

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