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| Department of Information Science and Telecommunications Colloquia | ||
Chris Atkeson Professor
Robotics Institute and Human-Computer Interaction Institute Carnegie Mellon University Room 403, IS Building |
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“Robot
Learning” |
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Abstract: We describe a memory-based approach to robot learning, in which experiences, observed behavior performed by others, and plans are stored in long term memory. This approach has its roots in the motor tape hypothesis in neuroscience and the memory drum hypothesis in psychology. The modern version of this theory is used to generate rich behavior for humanoid robots and videogame characters. The talk will describe several implementations of the memory-based approach. Speaker's Bio:Chris Atkeson is a Professor in the Robotics Institute and Human-Computer Interaction Institute at CMU. He received the M.S. degree in Applied Mathematics (Computer Science) from Harvard University and the Ph.D. degree in Brain and Cognitive Science from M.I.T. Chris joined the M.I.T. faculty in 1986, moved to the Georgia Institute of Technology College of Computing in 1994, and moved to CMU in 2000. |
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