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Dynamic load distribution in cooperative manipulation tasks

机译:协作操纵任务中的动态负载分配

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In cooperative manipulation tasks, load allocation is a crucial step in order to solve the intrinsic redundancy of the system. The desired wrench needs to be suitably distributed between the end-effectors to implement the desired motion of the manipulated object. In this framework, both the grasp kinematics and the individual capacities of each manipulator provide relevant constraints. On one hand, the end effector wrenches act on the object via the grasp geometry. On the other hand, the individual admissible payload further depends on the current configuration of the robots. In this paper we focus on a heterogeneous cooperative manipulation setting and we design a proper allocation strategy to distribute the desired object wrench, considering both constant and time-varying constraints for the load distribution. The relevance of our findings is illustrated by means of an experimental study involving two anthropomorphic robots manipulating a common object.
机译:在协作操纵任务中,负载分配是解决系统固有冗余的关键步骤。需要将期望的扳手适当地分配在端部执行器之间,以实现被操纵物体的期望的运动。在此框架中,抓紧运动学和每个操纵器的个体能力都提供了相关的约束。一方面,末端执行器扳手通过抓握几何形状作用在对象上。另一方面,各个允许的有效载荷还取决于机器人的当前配置。在本文中,我们着眼于异构协作操纵设置,并设计了一种适当的分配策略来分配所需的目标扳手,同时考虑了负载分配的恒定约束和随时间变化的约束。我们的研究结果的相关性通过一项涉及两个拟人化机器人操纵一个共同物体的实验研究得以说明。

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