Visual Tracking of an End-Effector by Adaptive Kinematic Prediction

Andreas Ruf 1 Martin Tonko 2 Radu Horaud 1 Hans-Hellmut Nagel 2
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : This paper presents results of a model-based approach to visual tracking and pose estimation for a moving polyhedral tool in position-based visual servoing. This enables the control of a robot in look-and-move mode to achieve six degree of freedom goal con?gurations. Robust solutions of the correspondence problem -- known as 'matching' in the static case and 'tracking' in the dynamic one -- are crucial to the feasibility of such an approach in real-world environments. The object's motion along an arbitrary trajectory in space is tracked using visual pose estimates through consecutive images. Subsequent positions are predicted from robot joint angle measurements. To deal with inaccurate models and to relax calibration requirements, adaptive on-line calibration of the kinematic chain is proposed. The kinematic predictions enable unambiguous feature matching by a pessimistic algorithm. The performance of the suggested algorithms and the robustness of the proposed system are evaluated on real image sequences of a moving gripper. The results fulfill the requirements of visual-servoing, and the computational demands are sufficiently low to allow for real-time implementation.
Type de document :
Communication dans un congrès
International Conference on Intelligent Robots and Systems (IROS '97), Sep 1997, Grenoble, France. IEEE/RSJ, 2, pp.893--898, 1997, 〈10.1109/IROS.1997.655115〉
Liste complète des métadonnées

Littérature citée [13 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00590080
Contributeur : Team Perception <>
Soumis le : mardi 3 mai 2011 - 09:15:27
Dernière modification le : mercredi 11 avril 2018 - 01:56:08
Document(s) archivé(s) le : jeudi 4 août 2011 - 02:50:30

Fichier

rufIROS97b.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

IMAG | INRIA | UGA

Citation

Andreas Ruf, Martin Tonko, Radu Horaud, Hans-Hellmut Nagel. Visual Tracking of an End-Effector by Adaptive Kinematic Prediction. International Conference on Intelligent Robots and Systems (IROS '97), Sep 1997, Grenoble, France. IEEE/RSJ, 2, pp.893--898, 1997, 〈10.1109/IROS.1997.655115〉. 〈inria-00590080〉

Partager

Métriques

Consultations de la notice

281

Téléchargements de fichiers

168