Challenges and issues faced in building a framework for conducting research in learning from observation

Abstract

We are exploring how primitives, small units of behavior, can speed up robot learning and enable robots to learn difficult dynamic tasks in reasonable amounts of time. In this chapter we describe work on learning from observation and learning from practice on air hockey and marble maze tasks. We discuss our research strategy, results, and open issues and challenges.