In: Mlnet Workshop on Industrial Applications of Machine Learning, Dourdan, France B-learn Ii: Case Studies in Robot Learning

نویسندگان

  • Michael Kaiser
  • Attilio Giordana
چکیده

This paper describes methodologies applied and results achieved in the framework of the ESPRIT Basic Research Action B-Learn II (project no. 7274). B-Learn II is one of the rst projects working towards an application of Machine Learning techniques in elds of industrial relevance, which are much more complex than the domains usually treated in ML research. In particular, B-Learn II aims at easing the programming of robots and enhancing their ability to cooperate with humans. The paper gives a short introduction to learning in robotics and to the three applications under consideration in B-Learn II. Afterwards, some examples of learning methodologies employed and results achieved in B-Learn II are presented, and the original references for the work going on in B-Learn II are given. A more thorough description of B-Learn II can be found in 22].

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تاریخ انتشار 1994