Lockheed MartinRobotics Seminar: Dr. Peter Stone

03.29.2019 14:00 to 15:00

2121 JM Patterson

Lockheed Martin Robotics Seminar: Dr Peter Stone, "Efficient Robot Skill Learning"
Friday, March 29, 2019
2:00 p.m.
2121 JM Patterson
For More Information:
Ania Picard
301 405 4358
appicard [-at-] umd [dot] edu

Lockheed Martin Robotics Seminar Series

Efficient Robot Skill Learning: Grounded Simulation Learning and Imitation Learning from Observation

Peter Stone
David Brutton, Jr. Centinnel Professor
University Distinguised Teaching Professor
Department of Computer Science
University of Texas at Austin

Host: Dr Mumu Xu

Research Interests

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.