CS Distinguished Lecture: Tomas Lozano-Perez (MIT) - Generalization in Planning and Learning for Robotic Manipulation
Tue, Oct 05, 2021 @ 03:30 PM - 04:50 PM
Conferences, Lectures, & Seminars
Speaker: Tomas Lozano-Perez, Massachusetts Institute of Technology (MIT)
Talk Title: Generalization in Planning and Learning for Robotic Manipulation
Series: Computer Science Distinguished Lecture Series
Abstract: An enduring goal of AI and robotics has been to build a robot capable of robustly performing a wide variety of tasks in a wide variety of environments; not by sequentially being programmed (or taught) to perform one task in one environment at a time, but rather by intelligently choosing appropriate actions for whatever task and environment it is facing. This goal remains a challenge. In this talk I'll describe recent work in our lab aimed at the goal of general-purpose robot manipulation by integrating task-and-motion planning with various forms of model learning. In particular, I'll describe approaches to manipulating objects without prior shape models, to acquiring composable sensorimotor skills, and to exploiting past experience for more efficient planning.
Register in advance for this webinar at:
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This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Tomas Lozano-Perez is professor in EECS at MIT, and a member of CSAIL. He was a recipient of the 2011 IEEE Robotics
Pioneer Award and a co-recipient of the 2021 IEEE Robotics and Automation Technical Field Award. He is a Fellow of the AAAI, ACM, and IEEE.
Host: Stefanos Nikolaidis
Location: Online - Zoom Webinar
Audiences: Everyone Is Invited
Contact: Computer Science Department