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A tuple space for data sharing in robot swarms

Carlo Pinciroli, Adam Lee-Brown and Giovanni Beltrame

Conference or Workshop Item - Paper (2016)

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Cite this document: Pinciroli, C., Lee-Brown, A. & Beltrame, G. (2015, December). A tuple space for data sharing in robot swarms. Paper presented at 9th EAI International Conference on Bio-inspired Information and Communications Technologies (BICT 2015), New York, NY, USA (8 pages). doi:10.4108/eai.3-12-2015.2262503
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Abstract

In this paper, we present a system to allow a swarm of robots to agree on a set of (key,value) pairs. This system enables a form of information sharing that has the potential to be an asset for coordination in complex environments, such as globally optimized task allocation. Taking inspiration from the environment-mediated communication of social insects, we call the system virtual stigmergy. Experimental evaluation indicates that virtual stigmergy can work in a wide variety of running conditions including heavy packet loss, and can cope with random motion trajectories.

Uncontrolled Keywords

swarm robotics, collective robotics, information sharing, stigmergy

Open Access document in PolyPublie
Subjects: 2600 Robotique > 2600 Robotique
2600 Robotique > 2601 Commande appliquée à la robotique et automation
2600 Robotique > 2605 Analyse de formes et intelligence artificielle
Department: Département de génie informatique et génie logiciel
Research Center: Non applicable
Funders: CRSNG/NSERC - Engage Grant, Canada Foundation for Innovation (CFI), NanoQuébec, RMGA, Fonds de recherche du Québec - Nature et technologies (FRQ-NT)
Date Deposited: 20 Oct 2021 14:18
Last Modified: 22 Oct 2021 17:05
PolyPublie URL: https://publications.polymtl.ca/4727/
Document issued by the official publisher
Conference Title: 9th EAI International Conference on Bio-inspired Information and Communications Technologies (BICT 2015)
Conference Location: New York, NY, USA
Conference Date(s): 2015-12-03 - 2015-12-05
Publisher: European Union Digital Library
Official URL: https://doi.org/10.4108/eai.3-12-2015.2262503

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