Distinguished Speaker Series – Leslie Kaebling

Distinguished Speaker Series – Leslie Kaebling

Title: Making Robots Believe

Speaker:  Leslie Pack Kaelbling

Abstract: The fields of AI and robotics have made great improvements in many individual subfields, including in motion planning, symbolic planning, probabilistic reasoning, perception, and learning.  Our goal is to develop an integrated approach to solving very large problems that are hopelessly intractable to solve optimally.  We make a number of approximations during planning, including serializing subtasks, factoring distributions, and determinizing stochastic dynamics, but regain robustness and effectiveness through a continuous state-estimation and replanning process.  This approach is demonstrated in three robotic domains, each of which integrates perception, estimation, planning, and manipulation.

Bio: Leslie Pack Kaelbling is the Panasonic Professor of Computer Science and  Engineering at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology.   She holds an A.B in Philosphy and a Ph.D. in Computer Science from Stanford University, and has had research positions at SRI International and Teleos Research and a faculty position at Brown University.  She is the recipient of the US National Science Foundation Presidential Faculty Fellowship, the IJCAI Computers and Thought Award, and several teaching prizes and has been elected a fellow of the AAAI.  She was the founder of the Journal of Machine Learning Research.

Organizers: Percy Liang, Silvio Savarese, David Held

Sponsored by the Stanford Computer Forum

Sponsored by the Stanford Computer Forum

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