Potential Field based Approach for Coordinate Exploration with a Multi-Robot Team

Alessandro Renzaglia 1, * Agostino Martinelli 1
* Auteur correspondant
1 E-MOTION - Geometry and Probability for Motion and Action
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
Abstract : In this paper we introduce a new distributed algorithm for the exploration of an unknown environment with a team of mobile robots. The objective is to explore the whole environment as fastest as possible. The proposed approach is based on the potential field method. The advantages of using this method are several and well known, but the presence of many local minima does not assure the exploration of the entire environment. Our idea is to preserve these advantages but overcome the problem of local minima by introducing a leader in the team which has a different control law, unaffected by this problem. Furthermore, we consider also the case of several local leaders, dynamically selected on the basis of a hierarchy within the team. Extensive simulations are presented to evaluate the performance of the algorithm. In particular, the results are compared with the exploration obtained by a potential field approach without leaders.
Type de document :
Communication dans un congrès
8th IEEE International Workshop on Safety, Security and Rescue Robotics (SSRR), Jul 2010, Bremen, Germany. 2010
Liste complète des métadonnées

Littérature citée [12 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00525789
Contributeur : Alessandro Renzaglia <>
Soumis le : mardi 12 octobre 2010 - 17:19:49
Dernière modification le : jeudi 11 janvier 2018 - 06:21:47
Document(s) archivé(s) le : jeudi 25 octobre 2012 - 17:00:43

Fichier

exploration.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : inria-00525789, version 1

Collections

Citation

Alessandro Renzaglia, Agostino Martinelli. Potential Field based Approach for Coordinate Exploration with a Multi-Robot Team. 8th IEEE International Workshop on Safety, Security and Rescue Robotics (SSRR), Jul 2010, Bremen, Germany. 2010. 〈inria-00525789〉

Partager

Métriques

Consultations de la notice

232

Téléchargements de fichiers

203