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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.
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on (Volume:33 , Issue: 4 )
Date of Publication: July 2003