Dynamical neural networks for planning and low-level robot control
Mathias Quoy, Sorin Moga, Philippe Gaussier · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · 2003
We use dynamical neural networks based on the neural field formalism for the control of a mobile robot. The robot navigates in an open environment and is able to plan a path for reaching a particular goal. We will describe how this dynamical approach may be used by a high level system (planning) for controlling a low level behavior (speed of the robot). We give also results about the control of the orientation of a camera and a robot body.