Autonomous Robots - Special Issue: Robotics: Science and Systems 2023
Guest-Editors: Dr. Kostas Bekris, Rutgers University, USA Prof. Kris Hauser, University of Illinois, USA Dr. Sylvia Herbert, University of California San Diego, USA Dr. Jingjin Yu, Rutgers University, USA
Submission Status: Closed
Summary and scope This Special Issue aims to put together a collection of articles to align with the mission of Autonomous Robots and are worthy of archival form. In this way, the Special Issue will bring the latest developments in robotics research to the world.
Submitted papers should present original, unpublished work, relevant to one of the topics of the Special Issue. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation, by at least two independent reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process.
Please note that the authors of selected papers presented at RSS 2023 are invited to submit an extended version of their contributions by taking into consideration both the reviewers’ comments on their conference paper, and the feedback received during presentation at the conference. It is worth clarifying that the extended version is expected to contain a substantial scientific contribution, e.g., in the form of new algorithms, experiments or qualitative/quantitative comparisons, and that neither verbatim transfer of large parts of the conference paper nor reproduction of already published figures will be tolerated. The extended versions of RSS 2023 papers will undergo the standard, rigorous journal review process and be accepted only if well-suited to the topic of this Special Issue and meeting the scientific level of the journal. Final decisions on all papers are made by the Editor-in-Chief.
Meet the Guest Editors:
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. His research has been supported by NSF, DHS, DOD and NASA, including a NASA Early Career Faculty award. He has served as Program Chair for RSS 2023 and WAFR 2016.
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. He also has consulted for Google's autonomous driving company, Waymo, from 2019-2023. Prof. Hauser is a recipient of a Stanford Graduate Fellowship, Siebel Scholar Fellowship, Best Paper Award at IEEE International Conference on Humanoid Robots 2015, the NSF CAREER award, and three Amazon Research Awards.
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 at the 2023 IEEE International Conference on Intelligent Robots and Systems.
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.
