Collection

Robotics: Science and Systems 2023 (by invitation only)

Submission status: Closed

Editors

Kostas Bekris ,

Kostas Bekris

Kostas Bekris is a Professor of Computer Science at Rutgers University in New Jersey and an Amazon Scholar with the Amazon Robotics AI team since 2019. He received his PhD in Computer Science in 2008 from Rice University. He is working in algorithmic robotics, where his group is developing algorithms for robot planning, learning and perception especially in the context of robot manipulation problems. Applications include logistics and manufacturing with a focus on taking advantage of novel soft, adaptive mechanisms.
Kris Hauser ,

Kris Hauser

Kris Hauser is a Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign, and Affiliate of the Department of Electrical and Computer Engineering and the Department of Mechanical Science and Engineering. He received his PhD in Computer Science from Stanford University in 2008, bachelor's degrees in Computer Science and Mathematics from UC Berkeley in 2003, and worked as a postdoctoral fellow at UC Berkeley. He then joined the faculty at Indiana University from 2009-2014, where he started the Intelligent Motion Lab, and then joined the faculty of Duke University from 2014-2019.
Sylvia Herbert &

Sylvia Herbert

Sylvia Herbert is an Assistant Professor in Mechanical and Aerospace Engineering at the University of California San Diego. Prior to joining UCSD, she received her PhD in Electrical Engineering from UC Berkeley, where she studied with Professor Claire Tomlin on safe and efficient control of autonomous systems. Before that she earned her BS/MS at Drexel University in Mechanical Engineering. She is the recipient of the ONR Young Investigator Award, the UC Berkeley Chancellor’s Fellowship, NSF GRFP, the Berkeley EECS Demetri Angelakos Memorial Achievement Award for Altruism, and the Robocup Best Paper Award.
Jingjin Yu

Jingjin Yu

Jingjin Yu is an Associate Professor of Computer Science at Rutgers University. He received his B.S. from USTC, M.S. and Ph.D. from the University of Illinois. He is broadly interested in algorithmic robotics, focusing on fundamental computational challenges related to optimality, complexity, and the design of effective decision-making methods. He is a recipient of the NSF CAREER award and an Amazon Research Award.