New approach to get autonomous and fast robot learning processes

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

Research output: Contribution to conferencePaperpeer-review

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.

Original languageEnglish
Pages292-295
Number of pages4
StatePublished - 2007
Externally publishedYes
Event4th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2007 - Angers, France
Duration: May 9 2007May 12 2007

Conference

Conference4th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2007
Country/TerritoryFrance
CityAngers
Period05/9/0705/12/07

Keywords

  • Autonomous agents
  • Genetic algorithms
  • Mobile robotics
  • Reinforcement learning
  • Robot control

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