Genetic Algorithms and Robotics
Genetic Algorithms and Robotics
Genetic Algorithms for Tracking Changing Environments
Proceedings of the 5th International Conference on Genetic Algorithms
An adaptive robot motivational system
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Editorial: Mobile robotics in the UK and worldwide: Fast changing, and as exciting as ever
Robotics and Autonomous Systems
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
A novel hybrid learning technique applied to a self-learning multi-robot system
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Empirical analysis of an on-line adaptive system using a mixture of Bayesian networks
Information Sciences: an International Journal
Simultaneous learning of perception and action in mobile robots
Robotics and Autonomous Systems
Self-learning fuzzy logic controllers for pursuit-evasion differential games
Robotics and Autonomous Systems
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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 combines reinforcement learning and genetic algorithms to teach a robot how to perform a task when only the specification of the main restrictions of the desired behaviour is provided. Through this combination, both paradigms must be merged in such a way that they influence each other to achieve a fast convergence towards a good robot-control policy, and reduce the random explorations the robot needs to carry out in order to find a solution. Another advantage of our proposal is that it is able to easily incorporate any kind of domain-dependent knowledge about the task. This is very useful for improving a robot controller, for applying a robot-controller to move a different robot-platform, or when we have certain ''feelings'' about how the task should be solved. The performance of our proposal is shown through its application to solve a common problem in mobile robotics.