作者: Thierry Hoinville , Patrick Hénaff , Stéphane Delaplace
关键词: Robotics 、 Neural network controller 、 Evolutionary algorithm 、 Artificial neural network 、 Artificial intelligence 、 Intelligent control 、 Engineering 、 Robot 、 Control theory 、 Adaptive algorithm
摘要: This article presents a preliminary study for work that aims at increasing the capacity of adaptation legged robots. The controller consists one neural networks, synthesised by evolutionary algorithm, to which adaptive mechanisms inspired biology are implemented. We compare performances controllers according three models neurons with biological complexity. thus show interest dynamic parameter must be calculated from rather than advance. incorporate then these in robot made up leg 3 dof pushing body is sliding on rail. allow line and cycle locomotion maintain performance speed robot.