Proceedings of the 6th IEEE International Symposium on Computational Intelligence in Robotics and Automation
553-557
Yes
International
0-7803-9355-4
Helsinki, Finland
6th IEEE International Symposium on Computational Intelligence in Robotics and Automation
27-06-2005 to 30-06-2005
[en] An autonomous system able to construct its own navigation strategy for mobile robots is proposed. The navigation strategy is molded from navigation experiences (succeeding as the robot navigates) according to a classical reinforcement learning procedure. The autonomous system is based on modular hierarchical neural networks. Initially the navigation performance is poor (many collisions occur). Computer simulations show that after a period of learning the autonomous system generates efficient obstacle avoidance and target seeking behaviors. Experiments also offer support for concluding that the autonomous system develops a variety of object discrimination capability and of spatial concepts.