Human Heuristics for a Team of Mobile Robots

Abstract : This paper is at the crossroad of Cognitive Psychology and AI Robotics. It reports a cross-disciplinary project concerned about implementing human heuristics within autonomous mobile robots. In the following, we address the problem of relying on human-based heuristics to endow a group of mobile robots with the ability to solve problems such as target finding in a labyrinth. Such heuristics may provide an efficient way to explore the environment and to decompose a complex problem into subtasks for which specific heuristics are efficient. We first present a set of experiments conducted with group of humans looking for a target with limited sensing capabilities solving. Then we describe the heuristics extracted from the observation and analysis of their behavior. Finally we implemented these heuristics within khepera-like autonomous mobile robots facing the same tasks. We show that the control architecture can be experimentally validated to some extent thanks to this approach. Index Terms-- Cognition, Autonomous Robotics, Human-centered approach, Heuristics, Multi-agents Problem Solving.
Type de document :
Communication dans un congrès
IEEE International Conference on Research, Innovation and Vision for the Future, Mar 2007, Hanoi, Vietnam. pp.122-129, 2007
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Soumis le : vendredi 28 septembre 2007 - 14:51:25
Dernière modification le : mercredi 28 novembre 2018 - 15:36:02
Document(s) archivé(s) le : jeudi 8 avril 2010 - 20:05:25

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  • HAL Id : inria-00175523, version 1

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Charles Tijus, Nicolas Bredeche, Yves Kodratoff, Mary Felkin, Cedric Hartland, et al.. Human Heuristics for a Team of Mobile Robots. IEEE International Conference on Research, Innovation and Vision for the Future, Mar 2007, Hanoi, Vietnam. pp.122-129, 2007. 〈inria-00175523〉

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