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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.
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Contributor : Nicolas Bredeche <>
Submitted on : Friday, September 28, 2007 - 2:51:25 PM
Last modification on : Thursday, March 18, 2021 - 3:54:19 PM
Long-term archiving on: : Thursday, April 8, 2010 - 8:05:25 PM


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  • 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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