Machine Learning For Autonomous Robotic Agents

We present some results of our research in the field of Machine Learning applied to robotics problems. In particular we have investigated on: (i) the application of Learning Classifier Systems to the synthesis of robot controllers; (ii) learning of fuzzy controllers; (iii) learning of purposeful representations of the environment; (iv) and the application of versions of Q-learning to robot training. Experimental results suggest that Machine Learning techniques might soon have an important impact on realistic robotic applications