Visual memory-based learning for mobile robot navigation
Conference Paper, Proceedings of 2nd International Conference on Computational Intelligence and Neurosciences, March, 1997
Abstract
The paper describes an efficient memory-based learning scheme for the localization of a door in a visual scene, estimation of the distance to it from a mobile robot, and steering the robot through the door. Digital signal processing techniques are used to speed up the run-time processing and achieve performance much faster than other learning techniques would permit. Reported are results from experiments with several varieties of memory-based learning on two mobile robots.
BibTeX
@conference{Nikovski-1997-16443,author = {Daniel Nikovski},
title = {Visual memory-based learning for mobile robot navigation},
booktitle = {Proceedings of 2nd International Conference on Computational Intelligence and Neurosciences},
year = {1997},
month = {March},
}
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.