NEW APPROACH TO GET AUTONOMOUS AND FAST ROBOT LEARNING PROCESSES

R. Iglesias, M. Rodríguez, C. V. Regueiro, J. Correa, Pablo Quintía, S. Barro

Abstract

Research on robot techniques that are fast, user-friendly, and require little application-specific knowledge by the user, is more and more encouraged in a society where the demand of home-care or domestic-service robots is increasing continuously. In this context we propose a methodology which is able to achieve fast convergences towards good robot-control policies, and reduce the random explorations the robot needs to carry out in order to find the solutions. The performance of our approach is due to the mutual influence that three different elements exert on each other: reinforcement learning, genetic algorithms, and a dynamic representation of the environment around the robot. The performance of our proposal is shown through its application to solve two common tasks in mobile robotics.

References

  1. Bertsekas, D. P. and Tsitsiklis, J. N. (1996). Neuro-Dynamic Programming. Athena Scientific.
  2. Cichosz, P. (1997). Reinforcement Learning by Truncating Temporal Differences. PhD thesis, Dpt. of Electronics and Information Technology, Warsaw University of Technology.
  3. Cobb, H. G. and Grefenstette, J. J. (1993). Genetic algorithms for tracking changing environments. In Proc. Fifth International Conference on Genetic Algorithms.
  4. Davidor, Y. (1991). Genetic algorithms and robotics. A heuristic strategy for optimization. World Scientific.
  5. R. Iglesias, C. V. Regueiro, J. C. and Barro, S. (1998). Improving wall following behaviour in a mobile robot using reinforcement learning. In ICSC International Symposium on Engineering of Intelligent Systems, EIS'98.
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Paper Citation


in Harvard Style

Iglesias R., Rodríguez M., V. Regueiro C., Correa J., Quintía P. and Barro S. (2007). NEW APPROACH TO GET AUTONOMOUS AND FAST ROBOT LEARNING PROCESSES . In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-972-8865-83-2, pages 292-295. DOI: 10.5220/0001649802920295


in Bibtex Style

@conference{icinco07,
author={R. Iglesias and M. Rodríguez and C. V. Regueiro and J. Correa and Pablo Quintía and S. Barro},
title={NEW APPROACH TO GET AUTONOMOUS AND FAST ROBOT LEARNING PROCESSES},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2007},
pages={292-295},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001649802920295},
isbn={978-972-8865-83-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - NEW APPROACH TO GET AUTONOMOUS AND FAST ROBOT LEARNING PROCESSES
SN - 978-972-8865-83-2
AU - Iglesias R.
AU - Rodríguez M.
AU - V. Regueiro C.
AU - Correa J.
AU - Quintía P.
AU - Barro S.
PY - 2007
SP - 292
EP - 295
DO - 10.5220/0001649802920295