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Conference Papers Year : 2007

Human Heuristics for a Team of Mobile Robots


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.
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inria-00175523 , version 1 (28-09-2007)


  • HAL Id : inria-00175523 , version 1


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. ⟨inria-00175523⟩
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