• English
    • français
  • Help
  •  | 
  • Contact
  •  | 
  • About
  •  | 
  • Login
  • HAL portal
  •  | 
  • Pages Pro
  • EN
  •  / 
  • FR
View Item 
  •   LillOA Home
  • Liste des unités
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
  • View Item
  •   LillOA Home
  • Liste des unités
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Motion planning for cooperative unicycle-type ...
  • BibTeX
  • CSV
  • Excel
  • RIS

Document type :
Article dans une revue scientifique
DOI :
10.1016/j.robot.2009.07.004
Title :
Motion planning for cooperative unicycle-type mobile robots with limited sensing ranges: A distributed receding horizon approach
Author(s) :
Defoort, Michael [Auteur]
Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 [LAMIH]
Floquet, Thierry [Auteur]
Systèmes Non Linéaires et à Retards [SyNeR]
Non-Asymptotic estimation for online systems [NON-A]
Kökösy, Annemarie [Auteur]
Systèmes Non Linéaires et à Retards [SyNeR]
Perruquetti, Wilfrid [Auteur]
Laboratoire d'Automatique, Génie Informatique et Signal [LAGIS]
Non-Asymptotic estimation for online systems [NON-A]
Journal title :
Robotics and Autonomous Systems
Pages :
1094-1106
Publisher :
Elsevier
Publication date :
2009-11
ISSN :
0921-8890
English keyword(s) :
Decentralized intelligence
Receding horizon planning
Nonholonomic mobile robot
Multi-vehicle formation
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
This paper presents a decentralized motion planner for a formation of autonomous mobile robots evolving in an unknown environment with obstacles. The motion planning scheme consists of decentralized receding horizon planners ...
Show more >
This paper presents a decentralized motion planner for a formation of autonomous mobile robots evolving in an unknown environment with obstacles. The motion planning scheme consists of decentralized receding horizon planners that reside on each vehicle to achieve coordination among formation agents. The advantage of the proposed algorithm is that each vehicle only requires local knowledge of its neighboring vehicles. The main requirement for designing an optimal conflict-free trajectory in a decentralized way, is that each robot does not deviate too far from its assumed trajectory designed without taking the coupling constraints into account. Finally, a comparative study between the proposed algorithm and other existing algorithms is provided in order to show the advantages especially in terms of computing time.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Source :
Harvested from HAL
Files
Thumbnail
  • https://hal.archives-ouvertes.fr/hal-00519825/document
  • Open access
  • Access the document
Thumbnail
  • https://hal.archives-ouvertes.fr/hal-00519825/document
  • Open access
  • Access the document
Thumbnail
  • https://hal.archives-ouvertes.fr/hal-00519825/document
  • Open access
  • Access the document
Université de Lille

Mentions légales
Université de Lille © 2017