Lockheed Martin Robotics Seminar: Dr Peter Stone, "Efficient Robot Skill Learning"
Friday, March 29, 2019
2121 JM Patterson
301 405 4358
Lockheed Martin Robotics Seminar Series
Efficient Robot Skill Learning: Grounded Simulation Learning and Imitation Learning from Observation
David Brutton, Jr. Centinnel Professor
University Distinguised Teaching Professor
Department of Computer Science
University of Texas at Austin
Host: Dr Mumu Xu
His main research interest in AI is understanding how we can best create complete intelligent agents. He considers adaptation, interaction, and embodiment to be essential capabilities of such agents. Thus, his research focuses mainly on machine learning, multiagent systems, and robotics. He believes that complete successful research includes both precise, novel algorithms and fully implemented and rigorously evaluated applications. His application domains have included robot soccer, autonomous bidding agents, autonomous vehicles, autonomic computing, and social agents.