THE LAGR PROJECT - Integrating Learning into the 4D/RCS Control Hierarchy

James Albus, Roger Bostelman, Tsai Hong, Tommy Chang, Will Shackleford, Michael Shneier

2006

Abstract

The National Institute of Standards and Technology’s (NIST) Intelligent Systems Division (ISD) is a participant the Defense Advanced Research Project Agency (DARPA) LAGR (Learning Applied to Ground Robots) Project. The NIST team’s objective for the LAGR Project is to insert learning algorithms into the modules that make up the 4D/RCS (Four Dimensional/Real-Time Control System), the standard reference model architecture to which ISD has applied to many intelligent systems. This paper describes the 4D/RCS structure, its application to the LAGR project, and the learning and mobility control methods used by the NIST team’s vehicle.

Paper Citation

in Harvard Style

Albus J., Bostelman R., Hong T., Chang T., Shackleford W. and Shneier M. (2006). THE LAGR PROJECT - Integrating Learning into the 4D/RCS Control Hierarchy . In Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-972-8865-60-3, pages 154-161. DOI: 10.5220/0001210701540161

in Bibtex Style

@conference{icinco06,
author={James Albus and Roger Bostelman and Tsai Hong and Tommy Chang and Will Shackleford and Michael Shneier},
title={THE LAGR PROJECT - Integrating Learning into the 4D/RCS Control Hierarchy},
booktitle={Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2006},
pages={154-161},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001210701540161},
isbn={978-972-8865-60-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - THE LAGR PROJECT - Integrating Learning into the 4D/RCS Control Hierarchy
SN - 978-972-8865-60-3
AU - Albus J.
AU - Bostelman R.
AU - Hong T.
AU - Chang T.
AU - Shackleford W.
AU - Shneier M.
PY - 2006
SP - 154
EP - 161
DO - 10.5220/0001210701540161