UTCS Artificial Intelligence
courses
talks/events
demos
people
projects
publications
software/data
labs
areas
admin
Autonomous Color Learning on a Mobile Robot (2005)
Mohan Sridharan
and
Peter Stone
Color segmentation is a challenging subtask in computer vision. Most popular approaches are computationally expensive, involve an extensive off-line training phase and/or rely on a stationary camera. This paper presents an approach for color learning on-board a legged robot with limited computational and memory resources. A key defining feature of the approach is that it works without any labeled training data. Rather, it trains autonomously from a color-coded model of its environment. The process is fully implemented, completely autonomous, and provides high degree of segmentation accuracy.
View:
PDF
,
PS
,
HTML
Citation:
In
Proceedings of the Twentieth National Conference on Artificial Intelligence
, July 2005.
Bibtex:
@InProceedings{AAAI05-vision, title={Autonomous Color Learning on a Mobile Robot}, author={Mohan Sridharan and Peter Stone}, booktitle={Proceedings of the Twentieth National Conference on Artificial Intelligence}, month={July}, url="http://www.cs.utexas.edu/users/ai-lab?AAAI05-vision", year={2005} }
People
Mohan Sridharan
Ph.D. Alumni
mhnsrdhrn [at] gmail com
Peter Stone
Faculty
pstone [at] cs utexas edu
Areas of Interest
Machine Learning
Other Areas
Planning
Robot Vision
Labs
Learning Agents