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Fall 2023 GRASP on Robotics: Leslie Kaelbling, Massachusetts Institute of Technology, “Doing for our robots what nature did for us”
October 20, 2023 at 10:30 AM - 11:45 AM
This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom.
ABSTRACT
We, as robot engineers, have to think hard about our role in the design of robots and how it interacts with learning, both in “the factory” (that is, at engineering time) and in “the wild” (that is, when the robot is delivered to a customer). I will share some general thoughts about strategies for robot software design that combine machine learning with insights from natural intelligence and from classical engineering design. I will describe several research projects, both in the design of an overall architecture for an intelligent robot and in strategies for learning to integrate new skills into the repertoire of an already competent robot.
Leslie Kaelbling
Massachusetts Institute of Technology
Leslie is a Professor at MIT. She has an undergraduate degree in Philosophy and a PhD in Computer Science from Stanford, and was previously on the faculty at Brown University. She was the founding editor-in-chief of the Journal of Machine Learning Research. Her research agenda is to make intelligent robots using methods including estimation, learning, planning, and reasoning. She is not a robot.