Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

CiteULike is a free service for managing and discovering scholarly references - click here to get started.

Sign In to gain access to subscriptions and/or personal tools.
The International Journal of Robotics Research
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (3)
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by De Schutter, J.
Right arrow Articles by Bruyninckx, H.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Constraint-based Task Specification and Estimation for Sensor-Based Robot Systems in the Presence of Geometric Uncertainty

Joris De Schutter

Department of Mechanical Engineering, Katholieke Universiteit Leuven, Celestijnenlaan 300B, B3001 Leuven (Heverlee), Belgium, Joris.DeSchutter{at}mech.kuleuvan.be

Tinne De Laet

Department of Mechanical Engineering, Katholieke Universiteit Leuven, Celestijnenlaan 300B, B3001 Leuven (Heverlee), Belgium

Johan Rutgeerts

Department of Mechanical Engineering, Katholieke Universiteit Leuven, Celestijnenlaan 300B, B3001 Leuven (Heverlee), Belgium

Wilm Decré

Department of Mechanical Engineering, Katholieke Universiteit Leuven, Celestijnenlaan 300B, B3001 Leuven (Heverlee), Belgium Joris.DeSchutter{at}mech.kuleuvan.be

Ruben Smits

Department of Mechanical Engineering, Katholieke Universiteit Leuven, Celestijnenlaan 300B, B3001 Leuven (Heverlee), Belgium Joris.DeSchutter{at}mech.kuleuvan.be

Erwin Aertbeliën

Department of Mechanical Engineering, Katholieke Universiteit Leuven, Celestijnenlaan 300B, B3001 Leuven (Heverlee), Belgium Joris.DeSchutter{at}mech.kuleuvan.be

Kasper Claes

Department of Mechanical Engineering, Katholieke Universiteit Leuven, Celestijnenlaan 300B, B3001 Leuven (Heverlee), Belgium Joris.DeSchutter{at}mech.kuleuvan.be

Herman Bruyninckx

Department of Mechanical Engineering, Katholieke Universiteit Leuven, Celestijnenlaan 300B, B3001 Leuven (Heverlee), Belgium Joris.DeSchutter{at}mech.kuleuvan.be

This paper introduces a systematic constraint-based approach to specify complex tasks of general sensor-based robot systems consisting of rigid links and joints. The approach integrates both instantaneous task specification and estimation of geometric uncertainty in a unified framework. Major components are the use of feature coordinates, defined with respect to object and feature frames, which facilitate the task specification, and the introduction of uncertainty coordinates to model geometric uncertainty. While the focus of the paper is on task specification, an existing velocity- based control scheme is reformulated in terms of these feature and uncertainty coordinates. This control scheme compensates for the effect of time varying uncertainty coordinates. Constraint weighting results in an invariant robot behavior in case of conflicting constraints with heterogeneous units. The approach applies to a large variety of robot systems (mobile robots, multiple robot systems, dynamic human-robot interaction, etc.), various sensor systems, and different robot tasks. Ample simulation and experimental results are presented.

Key Words: constraint-based programming • task specification • estimation • geometric uncertainty

The International Journal of Robotics Research, Vol. 26, No. 5, 433-455 (2007)
DOI: 10.1177/027836490707809107


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
The International Journal of Robotics ResearchHome page
A. C. Leite, F. Lizarralde, and Liu Hsu
Hybrid Adaptive Vision--Force Control for Robot Manipulators Interacting with Unknown Surfaces
The International Journal of Robotics Research, July 1, 2009; 28(7): 911 - 926.
[Abstract] [PDF]