Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here to sign up for SAGE Journal Email Alerts today!

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
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 Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Lange, F.
Right arrow Articles by Hirzinger, G.
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?

Predictive Visual Tracking of Lines by Industrial Robots

Friedrich Lange

Institute of Robotics and Mechatronics Deutsches Zentrum für Luft-und Raumfahrt (DLR) Oberpfaffenhofen, D-82234 Wessling, Germany, Friedrich.Lange{at}dlr.de

Gerd Hirzinger

Institute of Robotics and Mechatronics Deutsches Zentrum für Luft-und Raumfahrt (DLR) Oberpfaffenhofen, D-82234 Wessling, Germany

Many tasks for industrial robots can be described by high precision line following at high speed. This can be executed accurately if the lines are sensed by a camera since then not only the desired pose at the current time step is sensable, but also a segment of the desired path can be predicted. We propose polynomials to represent the progression of the elements of the desired pose. This allows us to realize a dynamical sensor control architecture that considers the two main problems: low sampling rate and delays in image processing, and deviations from commanded paths due to the robot dynamics. In contrast to previous publications we now present the complete formulae to control translation and orientation of the robot by tracking (curved) lines that are visible for a single eye-in-hand camera. Experiments using off-the-shelf hardware show that the robot can be precisely controlled at high speed.

Key Words: vision • control • industrial robots • robot dynamics • prediction

The International Journal of Robotics Research, Vol. 22, No. 10-11, 889-903 (2003)
DOI: 10.1177/027836490302210007


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?