A neural approach for the control of a car-like mobile robot, proposed in this paper, is based on the use of an inverse neural model adapted to the path following problem. In order to assure path following with obstacle avoidance, a neuro-fuzzy approach is also developed for a sensor referenced control.
Mobile robots, non holonomic systems, path following, neural or neuro-fuzzy modeling and control, inverse model, internal model control.
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