Distributed Optimisation For Multi Robot Cooperative Manipulation Control In Dynamic Environments

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Distributed Optimisation for Multi-Robot Cooperative Manipulation Control in Dynamic Environments

Distributed Optimisation for Multi-Robot Cooperative Manipulation Control in Dynamic Environments
Author :
Publisher : Logos Verlag Berlin GmbH
Total Pages : 188
Release :
ISBN-10 : 9783832554408
ISBN-13 : 3832554408
Rating : 4/5 (408 Downloads)

Book Synopsis Distributed Optimisation for Multi-Robot Cooperative Manipulation Control in Dynamic Environments by : Yanhao He

Download or read book Distributed Optimisation for Multi-Robot Cooperative Manipulation Control in Dynamic Environments written by Yanhao He and published by Logos Verlag Berlin GmbH. This book was released on 2022-12-15 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the manipulation tasks for robotic systems become more and more complicated, multi-robot cooperation has been attracting much attention recently. Furthermore, under the trend of human-robot co-existence, collision-free motion control is now also desired on multi-robot groups. This dissertation aims to design a novel distributed optimal control framework to deal with multi-robot cooperative manipulation of rigid objects in dynamic environments. Besides object transportation, the control scheme also tackles obstacle avoidance, joint-space performance optimisation and internal force suppression. The proposed control framework has a two-layer structure, with a distributed optimisation algorithm in the kinematic layer for generating proper joint configuration references, followed by a robot motion controller in the dynamic control layer to fulfil the reference. An indirect and a direct distributed optimisation method are developed for the kinematic layer, both of which are computationally and communicationally efficient. In the dynamic control layer, impedance control is employed for safe physical interaction. As another highlight, abundant experiments carried out on a multi-arm test bench have demonstrated the effectiveness of the presented control schemes under various environmental and task settings. The recorded computation time shows the applicability of the control framework in practice.


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