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RIVF
2007

Human Heuristics for a Team of Mobile Robots

13 years 4 months ago
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.
Charles Tijus, Elisabetta Zibetti, V. Besson, Nico
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2007
Where RIVF
Authors Charles Tijus, Elisabetta Zibetti, V. Besson, Nicolas Bredeche, Yves Kodratoff, Mary Felkin, Cédric Hartland
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