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BBPRM: a behavior-based probabilistic roadmap method

Eva Simonin 1 Julien Diard 2, * 
* Corresponding author
1 E-MOTION - Geometry and Probability for Motion and Action
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
Abstract : This paper focuses on the path planning problem. We offer an alternative to the probabilistic roadmap methods, from the perspective of modeling human or animal planning. In this context, hierarchies of representations are used to break down high-dimensional configuration spaces. We propose an approach for roadmap generation where low-level behaviors are used as articulations between level of the hierarchy. We also show how the obtained roadmap better represents low-level sensorimotor capabilities of the robot.
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Submitted on : Friday, October 29, 2010 - 12:45:11 PM
Last modification on : Wednesday, July 6, 2022 - 4:22:39 AM
Long-term archiving on: : Sunday, January 30, 2011 - 2:40:00 AM


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  • HAL Id : hal-00530380, version 1


Eva Simonin, Julien Diard. BBPRM: a behavior-based probabilistic roadmap method. IEEE International Conference on Systems, Man and Cybernetics, 2008, 2008, Singapore. pp.1719-1724. ⟨hal-00530380⟩



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