A Hybrid Control Algorithm for Object Grasping Using Multiple Agents

Hyejin Han, R. Sanfelice
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引用次数: 2

Abstract

This paper presents a hybrid control approach for grasping objects by multiple agents without rebounding. When multiple agents grasp an object cooperatively, the motion of the agents is constrained due to the geometrical and frictional conditions at the contact points. In this paper, each agent acting on an object of interest is controlled by a hybrid controller which includes a position controller, a force controller, and some logic to coordinate grasping. The proposed approach provides a method to steer the agents to grasping positions on an object along appropriate directions and to asymptotically exert stabilizing forces at each contact point. The stability properties induced by the hybrid controller can be asserted using Lyapunov stability tools for hybrid systems. The set of allowed initial conditions guaranteed is characterized using sublevel sets of Lyapunov functions. The proposed algorithm is verified in simulations.
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基于多智能体的物体抓取混合控制算法
提出了一种多智能体无回弹抓取物体的混合控制方法。当多个智能体协同抓取一个物体时,由于接触点的几何条件和摩擦条件,智能体的运动受到约束。在本文中,每个作用于感兴趣对象的智能体由一个混合控制器控制,该控制器包括位置控制器、力控制器和一些协调抓取的逻辑。所提出的方法提供了一种方法来引导智能体沿着适当的方向抓取物体上的位置,并在每个接触点渐近地施加稳定力。利用Lyapunov稳定性工具可以断言混合控制器引起的稳定性。利用李雅普诺夫函数的子水平集对保证的允许初始条件集进行了表征。仿真结果验证了该算法的有效性。
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