A Decentralized Algorithm to Adaptive Trajectory Planning for a Group of Nonholonomic Mobile Robots

Abstract : This work proposes a decentralized control architecture for a group of car-like vehicles. A network of two degree decentralized controllers is used to stabilize the robots in its desired position. The controllers first generate an on-line feasible optimal or suboptimal trajectory, then a feedback compensation is performed around this trajectory. To generate the optimal trajectory, two reactive terms are minimized adapting this one to avoid the obstacles and assure the communication links between the robots. The proposed architecture is supported by a global positioning system GPS, and wireless communication for each robot.
Type de document :
Communication dans un congrès
IROS: Intelligent Robots and Systems, Oct 2006, Beijing, China. pp.404-409, 2006
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00146445
Contributeur : Philippe Fraisse <>
Soumis le : mardi 15 mai 2007 - 09:04:22
Dernière modification le : jeudi 24 mai 2018 - 15:59:23

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  • HAL Id : lirmm-00146445, version 1

Citation

Arturo Gil-Pinto, Philippe Fraisse, René Zapata. A Decentralized Algorithm to Adaptive Trajectory Planning for a Group of Nonholonomic Mobile Robots. IROS: Intelligent Robots and Systems, Oct 2006, Beijing, China. pp.404-409, 2006. 〈lirmm-00146445〉

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