LCSR Seminar: Tomas Lozano-Perez

Description

Tomas Lozano-Perez, a professor in electrical engineering and computer sciences at MIT, will give a talk titled "Generalization in Planning and Learning for Robotic Manipulation" for the Laboratory for Computational Sensing and Robotics.

Find the link for the seminar on the LCSR event page.

Lozano-Perez is a member of the MIT Computer Science & Artificial Intelligence Laboratory. He was a recipient of the 2011 Institute of Electrical and Electronics Engineers (IEEE) Robotics Pioneer Award and a co-recipient of the 2021 IEEE Robotics and Automation Technical Field Award. He is a Fellow of the Association for the Advancement of Artificial Intelligence, Association for Computing Machinery, and IEEE.

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.