Literature DB >> 15503497

Multirobot systems: a classification focused on coordination.

Alessandro Farinelli1, Luca Iocchi, Daniele Nardi.   

Abstract

Multirobot systems (MRS) are, nowadays, an important research area within robotics and artificial intelligence and a growing number of systems have recently been presented in the literature. Since application domains and tasks that are faced by MRS are of increasing complexity, the ability of the robots to cooperate can be regarded as a fundamental feature. In this paper, we present a survey of the recent work in the area by specifically examining the forms of cooperation and coordination realized in the MRS. In particular, we propose a new taxonomy for classification of the approaches to coordination in MRS and we describe some systems, which we consider representative in our taxonomy. We finally discuss the outcomes of our analysis and try to highlight future trends of the research on MRS.

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Year:  2004        PMID: 15503497     DOI: 10.1109/tsmcb.2004.832155

Source DB:  PubMed          Journal:  IEEE Trans Syst Man Cybern B Cybern        ISSN: 1083-4419


  5 in total

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Authors:  Tiandong Shi; Deyun Zhong; Lin Bi
Journal:  Sensors (Basel)       Date:  2021-05-19       Impact factor: 3.576

2.  The Multitasking System of Swarm Robot based on Null-Space-Behavioral Control Combined with Fuzzy Logic.

Authors:  Nga Le Thi Thuy; Thang Nguyen Trong
Journal:  Micromachines (Basel)       Date:  2017-12-09       Impact factor: 2.891

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

Authors:  Elio Tuci; Muhanad H M Alkilabi; Otar Akanyeti
Journal:  Front Robot AI       Date:  2018-05-25

Review 4.  Multi-Robot Coordination Analysis, Taxonomy, Challenges and Future Scope.

Authors:  Janardan Kumar Verma; Virender Ranga
Journal:  J Intell Robot Syst       Date:  2021-04-16       Impact factor: 2.646

5.  IoT Security and Computation Management on a Multi-Robot System for Rescue Operations Based on a Cloud Framework.

Authors:  Swarnabha Roy; Tony Vo; Steven Hernandez; Austin Lehrmann; Asad Ali; Stavros Kalafatis
Journal:  Sensors (Basel)       Date:  2022-07-26       Impact factor: 3.847

  5 in total

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