The Robotics Institute
Search the site
RI | Publications | Learning State Grounding for Optimal Visual Servocontrol of Dynamic Manipulation

Text only version of this site

Learning State Grounding for Optimal Visual Servocontrol of Dynamic Manipulation
D. Nikovski and I. Nourbakhsh
Proceedings of the AAAI Spring Symposium on State Grounding and Abstraction, March, 2001.

Jump to: Download | Text Reference | BibTeX Reference

Download [Help]

Adobe portable document format (pdf) [118 KB]
Compressed postscript (ps.gz) [97 KB]

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Text Reference

D. Nikovski and I. Nourbakhsh, "Learning State Grounding for Optimal Visual Servocontrol of Dynamic Manipulation," Proceedings of the AAAI Spring Symposium on State Grounding and Abstraction, March, 2001.

BibTeX Reference

@inproceedings{Nikovski_2001_3470,
   author = "Daniel Nikovski and Illah Nourbakhsh",
   title = "Learning State Grounding for Optimal Visual Servocontrol of Dynamic Manipulation",
   booktitle = "Proceedings of the AAAI Spring Symposium on State Grounding and Abstraction",
   month = "March",
   year = "2001"
}


The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.
For updates and comments, please see these instructions.
This page maintained by robotwebmaster@ri.cmu.edu