Literature DB >> 33500940

Cooperative Object Transport in Multi-Robot Systems: A Review of the State-of-the-Art.

Elio Tuci1, Muhanad H M Alkilabi2, Otar Akanyeti3.   

Abstract

In recent years, there has been a growing interest in designing multi-robot systems (hereafter MRSs) to provide cost effective, fault-tolerant and reliable solutions to a variety of automated applications. Here, we review recent advancements in MRSs specifically designed for cooperative object transport, which requires the members of MRSs to coordinate their actions to transport objects from a starting position to a final destination. To achieve cooperative object transport, a wide range of transport, coordination and control strategies have been proposed. Our goal is to provide a comprehensive summary for this relatively heterogeneous and fast-growing body of scientific literature. While distilling the information, we purposefully avoid using hierarchical dichotomies, which have been traditionally used in the field of MRSs. Instead, we employ a coarse-grain approach by classifying each study based on the transport strategy used; pushing-only, grasping and caging. We identify key design constraints that may be shared among these studies despite considerable differences in their design methods. In the end, we discuss several open challenges and possible directions for future work to improve the performance of the current MRSs. Overall, we hope to increasethe visibility and accessibility of the excellent studies in the field and provide a framework that helps the reader to navigate through them more effectively.
Copyright © 2018 Tuci, Alkilabi and Akanyeti .

Entities:  

Keywords:  caging; cooperative object transport; multi-robot systems; pulling; pushing

Year:  2018        PMID: 33500940      PMCID: PMC7805628          DOI: 10.3389/frobt.2018.00059

Source DB:  PubMed          Journal:  Front Robot AI        ISSN: 2296-9144


  5 in total

1.  Symmetric caging formation for convex polygonal object transportation by multiple mobile robots based on fuzzy sliding mode control.

Authors:  Yanyan Dai; YoonGu Kim; SungGil Wee; DongHa Lee; SukGyu Lee
Journal:  ISA Trans       Date:  2015-12-17       Impact factor: 5.468

2.  Multirobot systems: a classification focused on coordination.

Authors:  Alessandro Farinelli; Luca Iocchi; Daniele Nardi
Journal:  IEEE Trans Syst Man Cybern B Cybern       Date:  2004-10

3.  Emergent oscillations assist obstacle negotiation during ant cooperative transport.

Authors:  Aviram Gelblum; Itai Pinkoviezky; Ehud Fonio; Nir S Gov; Ofer Feinerman
Journal:  Proc Natl Acad Sci U S A       Date:  2016-12-05       Impact factor: 11.205

4.  Cooperative Micromanipulation Using the Independent Actuation of Fifty Microrobots in Parallel.

Authors:  M Arifur Rahman; Julian Cheng; Zhidong Wang; Aaron T Ohta
Journal:  Sci Rep       Date:  2017-06-12       Impact factor: 4.379

5.  Consensus or Deadlock? Consequences of Simple Behavioral Rules for Coordination in Group Decisions.

Authors:  Helen F McCreery; Nikolaus Correll; Michael D Breed; Samuel Flaxman
Journal:  PLoS One       Date:  2016-09-28       Impact factor: 3.240

  5 in total
  1 in total

1.  Remote Modular Electronics for Wireless Magnetic Devices.

Authors:  Mustafa Boyvat; Metin Sitti
Journal:  Adv Sci (Weinh)       Date:  2021-07-10       Impact factor: 16.806

  1 in total

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