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Autonomous navigation of a nonholonomic ...
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Document type :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes
Title :
Autonomous navigation of a nonholonomic mobile robot in a environment
Author(s) :
Kökösy, Annemarie [Auteur]
Systèmes Non Linéaires et à Retards [SyNeR]
Defaux, Franck-Olivier [Auteur]
Laboratoire d'Automatique, Génie Informatique et Signal [LAGIS]
Perruquetti, Wilfrid [Auteur] refId
Systèmes Non Linéaires et à Retards [SyNeR]
Conference title :
2008 IEEE International Workshop on Safety, Security, and Rescue Robotics
City :
Sendai
Country :
Japon
Start date of the conference :
2008-10-21
English keyword(s) :
robot navigation
non linear optimization
flatness
supervisor
nonholonomic robot
path planning
complex environment
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
This paper presents a new path planning algorithm for the autonomous navigation of a nonholonomic mobile robot. The environment in which the robot evolves is unknown and encumbered by obstacles. The goal of the robot is ...
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This paper presents a new path planning algorithm for the autonomous navigation of a nonholonomic mobile robot. The environment in which the robot evolves is unknown and encumbered by obstacles. The goal of the robot is to move towards the arrival point (which is known) by avoiding the obstacles. The path planning algorithm recomputes a new trajectory whenever a new obstacle is detected. The planned trajectory takes account of the physical constraints of the robot (speed saturation, kinematic robot model, nonholonomic constraint). The trajectory of the robot is obtained by optimizing a problem of optimal control under constraints. The resolution of this problem is done by using the flatness property of the system, which transforms the initial optimization problem into a nonlinear dynamic programming problem. The problems of the local minima are solved by using a supervisor. Our algorithm will be compared with another algorithm of the literature in order to highlight its effectiveness. Simulation results will be presented to illustrate the good performance of the algorithm for robot navigation in a complex environment.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Non spécifiée
Popular science :
Non
Collections :
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Source :
Harvested from HAL
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