Robust Cooperative Transport System with Model Error Compensator Using Multiple Robots with Suction Cups

Pub Date : 2023-12-20 DOI:10.20965/jrm.2023.p1583
N. Matsunaga, Kazuhi Murata, Hiroshi Okajima
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Abstract

In cooperative transport systems, multiple robots work together to transport objects that are difficult to transport with a single robot. In recent years, multi-robot systems that cooperate to transport objects have been researched. However, during the transfer of objects, misalignment occurs between the ideal and actual grasp positions. In an automatic transport system, a grasping error can cause an error in the trajectory of the object, significantly reducing the transport efficiency. In this paper, a control system that allows robust cooperative transport control using a model error compensator is proposed for a leader–follower system in which the transported object is the virtual leader and the followers are ideally arranged. This system adds robustness to the operation of a conventional cooperative transport system by using the ideal formation of robots. The effectiveness of the proposed method was evaluated through cooperative transport experiments using two ideal formations for passing through a narrow entrance. The cooperative transport system could not pass through the narrow entrance using the conventional method; however, the system using the compensator passed through the narrow entrance smoothly.
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带模型误差补偿器的鲁棒合作运输系统(使用带吸盘的多个机器人
在合作运输系统中,多个机器人共同合作运输单个机器人难以运输的物体。近年来,人们对合作运输物体的多机器人系统进行了研究。然而,在传送物体的过程中,理想抓取位置和实际抓取位置之间会出现偏差。在自动运输系统中,抓取误差会导致物体轨迹出现误差,从而大大降低运输效率。本文提出了一种利用模型误差补偿器实现稳健协同运输控制的控制系统,适用于以被运输物体为虚拟领导者、跟随者为理想排列的领导者-跟随者系统。该系统通过使用理想的机器人编队,增加了传统合作运输系统运行的鲁棒性。通过使用两种理想编队通过狭窄入口的合作运输实验,评估了所提方法的有效性。使用传统方法的合作运输系统无法通过狭窄的入口,而使用补偿器的系统则顺利通过了狭窄的入口。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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