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A Robust Scheme for Aggregating Quasi-Blind Robots in an Active Environment

Nazim Fatès 1 Nikolaos Vlassopoulos 1 
1 MAIA - Autonomous intelligent machine
Inria Nancy - Grand Est, LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
Abstract : The question of how to aggregate autonomous agents with limited abilities in the absence of centralized coordination is known as the Decentralized Gathering Problem. The authors present a bio-inspired aggregation scheme that solves this problem and study a first application of this scheme to a small team of robots. The robots (Alice and Khepera III) obey simple rules and have only a rudimentary perception of their environment. The collective behavior is based on stigmergic principles and uses an active environment to relay the communications between robots. This results in an aggregation process that shows good properties of robustness and that can in principle be extended to swarms of robots.
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Submitted on : Thursday, April 8, 2021 - 9:24:02 PM
Last modification on : Saturday, June 25, 2022 - 7:42:01 PM


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Nazim Fatès, Nikolaos Vlassopoulos. A Robust Scheme for Aggregating Quasi-Blind Robots in an Active Environment. International Journal of Swarm Intelligence Research, 2012, 3 (3), pp.15. ⟨10.4018/jsir.2012070105⟩. ⟨hal-00740630⟩



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