Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
413578 | Robotics and Autonomous Systems | 2006 | 9 Pages |
Abstract
This paper reports on experiments involving a hexapod robot. Motivated by neurobiological evidence that control in real hexapod insects is distributed leg-wise, we investigated two approaches to learning distributed controllers: genetic algorithms and reinforcement learning. In the case of reinforcement learning, a new learning algorithm was developed to encourage cooperation between legs. Results from both approaches are presented and compared.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
T.D. Barfoot, E.J.P. Earon, G.M.T. D’Eleuterio,