Ian Fasel
Postdoctoral Alumni
Ian's research is on developmental robotics and human-robot interaction. The first topic seeks to answer: how can a (human or robot) baby discover basic low-level perceptual and motor concepts through prolonged autonomous interactions with the world? The second topic broadens this to include social concepts, such as emotions, gaze-following, and turn-taking, and incorporates both care-giving and explicit teaching into the developmental process as well. This work mostly involves application and development of machine learning methods to robots which must interact with objects and people in the world in real-time.
Design Principles for Creating Human-Shapable Agents 2009
W. Bradley Knox, Ian Fasel, and Peter Stone, In AAAI Spring 2009 Symposium on Agents that Learn from Human Teachers, March 2009.
A General Purpose Task Specification Language for Bootstrap Learning 2008
Ian Fasel, Michael Quinlan, and Peter Stone, In AAAI Spring 2009 Symposium on Agents that Learn from Human Teachers, March 2008.
Formerly affiliated with Learning Agents