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Toward distributed solutions for heterogeneous fleet coordination
Dipartimento di Ingegneria dell’Informazione and Research Center “E.Piaggio”, University of Pisa, Pisa, Italy.
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0003-1627-0921
Dipartimento di Ingegneria dell’Informazione and Research Center “E.Piaggio”, University of Pisa, Pisa, Italy.
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-9652-7864
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2020 (English)In: Proceedings of the 2nd Italian Conference on Robotics and Intelligent Machines, 2020Conference paper, Published paper (Refereed)
Abstract [en]

Warehouse mobile robotics is nowadays entering the mass-production market. Increasing the number of mobile robots up to decades raises new challenges: current industrial practice relies on centralized fleet management, which might hinder efficacy in the case of large fleets. This paper proposes and discusses a partially and a fully distributed extension of a centralized loosely coupled algorithm for multi-robot coordination. In particular, we aim at investigating: 1) how coordination can be distributed among robots, and 2) which is the minimum amount of local information required to enforce safety. Simulation results show that a partial distribution may improve performance in terms of arrival times while preserving safety and liveness.

Place, publisher, year, edition, pages
2020.
Keywords [en]
coordination, motion planning, multi-robot systems, mobile robots
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:oru:diva-93584OAI: oai:DiVA.org:oru-93584DiVA, id: diva2:1584122
Conference
2nd Italian Conference on Robotics and Intelligent Machines (I-RIM 2020), (Online conference), December 10-12, 2020
Projects
Semantic RobotsILIADAvailable from: 2021-08-11 Created: 2021-08-11 Last updated: 2021-08-16Bibliographically approved

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Mannucci, AnnaPecora, Federico

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