Princeton Robotics Seminar
Speaker: Tomás Lozano-Pérez, Professor of Computer Science & Engineering, MIT
Date: Friday Oct 28, 2022
Time: 11am EDT
Location: Computer Science 105
Title: Generalization in Planning and Learning for Robotic Manipulation
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.
Biography: Tomás Lozano-Pérez 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.