Abstract:
A self-organising controller for mobile robots is presented that allows robots to acquire sensor-motor competences autonomously, and thus adapt to changes in the environment, the task, or the robot itself, without external supervision and feedback. Using artificial neural networks, the robot acquires these fundamental sensor-motor competences rapidly, in a couple of learning steps, taking a few tens of seconds. Results of experiments with a number of mobile robots are presented, both by us and by other research groups, using the same controller architecture.
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