HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

Robot motion control from a visual memory

A. Remazeilles 1 François Chaumette 1 Patrick Gros 2
1 VISTA - Vision spatio-temporelle et active
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
2 TEXMEX - Multimedia content-based indexing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : This article presents a new approach for robot motion control, using images acquired by an on-board camera. A particularity of this method is that it can avoid reconstructing the entire scene without limiting the displacements possible. To achieve this, an image base of the environment is used to describe the navigation space. We extract from this base a sequence of overlapping images which define the zone that the robot must traverse, in order to reach the desired position. Motions are computed on-line using only points of interest extracted from these images. A method based on potential field theory has been adapted in order to ensure a suf cient visibility of these features during the entire motion of the robot. Experimental results obtained on a six degrees of freedom robotic system are presented and confirm the validity of our approach.
Document type :
Conference papers
Complete list of metadata

Cited literature [27 references]  Display  Hide  Download

Contributor : Eric Marchand Connect in order to contact the contributor
Submitted on : Monday, January 12, 2009 - 1:57:22 PM
Last modification on : Thursday, January 20, 2022 - 4:18:39 PM
Long-term archiving on: : Tuesday, June 8, 2010 - 7:33:25 PM


Files produced by the author(s)


  • HAL Id : inria-00352036, version 1


A. Remazeilles, François Chaumette, Patrick Gros. Robot motion control from a visual memory. IEEE Int. Conf. on Robotics and Automation, ICRA'04, 2004, New Orleans, Louisiana, United States. pp.4695-4700. ⟨inria-00352036⟩



Record views


Files downloads