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  • Center of Autonomy and AI, Center for Cyber-Physical Systems and the Internet of Things, and Ming Hsieh Institute Seminar Series

    Wed, Oct 12, 2022 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Byron Boots, Paul G. Allen School of Computer Science and Engineering at the University of Washington

    Talk Title: Machine Learning for Agile Off-Road Autonomous Driving

    Series: Center for Cyber-Physical Systems and Internet of Things

    Abstract: The main goal of this talk is to illustrate how machine learning can start to address some of the fundamental challenges involved in designing intelligent robots. I'll start by discussing off-road driving tasks that require impressive sensing, speed, and agility to complete. I will focus on how machine learning can be combined with prior knowledge and structure to build effective solutions to robotics control problems in this domain. Along the way I'll introduce new tools from reinforcement learning and online learning and show how theoretical insights help us to overcome some of the practical challenges involved in learning on real-world platforms.

    Biography: Byron Boots is the Amazon Professor of Machine Learning in the Paul G. Allen School of Computer Science and Engineering at the University of Washington. Byron's group performs fundamental and applied research in machine learning, artificial intelligence, and robotics with a focus on developing theory and systems that tightly integrate perception, learning, and control. His work has been applied to a range of problems including localization and mapping, motion planning, robotic manipulation, quadrupedal locomotion, and high-speed navigation. Byron has received several awards including "Best Paper" Awards from ICML, AISTATS, RSS, and IJRR. He is also the recipient of the RSS Early Career Award, the DARPA Young Faculty Award, the NSF CAREER Award, and the Outstanding Junior Faculty Research Award from the College of Computing at Georgia Tech. Byron received his PhD from the Machine Learning Department at Carnegie Mellon University

    Host: Somil Bansal, somilban@usc.edu

    Webcast: https://usc.zoom.us/j/98083929768?pwd=SUJreHk0N0ZXbk5QZ1ZPUkRlM3FmZz09

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 248

    WebCast Link: https://usc.zoom.us/j/98083929768?pwd=SUJreHk0N0ZXbk5QZ1ZPUkRlM3FmZz09

    Audiences: Everyone Is Invited

    Contact: Talyia White

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