Professor
Sungkyunkwan University
Seoul, South Korea
Force-Aware Robotics: Empowering Physical AI
Hyouk Ryeol Choi is a Professor in the School of Mechanical Engineering at Sungkyunkwan University, Suwon, South Korea, where he has led the Robotics Laboratory since 1995. He received his B.S. degree in Mechanical Engineering from Seoul National University (1984), his M.S. degree from the Korea Advanced Institute of Science and Technology (KAIST) (1986), and his Ph.D. degree from the Pohang University of Science and Technology (POSTECH) (1994).
His professional career includes roles as an Associate Research Engineer at the IT Research Center, LG Electronics (1986–1989), a Postdoctoral Researcher at Kyoto University, Japan (1993–1995), a JSPS Fellow at the National Institute of Advanced Industrial Science and Technology (AIST), Japan (1999–2000), and a Visiting Professor at the University of Washington, Seattle, USA (2008–2009).
Prof. Choi was elected an IEEE Fellow in 2019 for his contributions to robotic interactive sensing. He has served in numerous leadership roles within the international robotics community, including as General Chair of IEEE CASE 2012 and as Associate Editor of IEEE Transactions on Robotics and Technical Editor of IEEE/ASME Transactions on Mechatronics. He currently serves as Editor-in-Chief of the Journal of Intelligent & Robotic Systems (Springer). He also co-founded and serves as Founding Co-Chair of the IEEE RAS Technical Committee on Robot Hand, Grasping and Manipulation.
In 2020, Prof. Choi founded AIDIN Robotics Ltd., a startup specializing in force-aware robotics and advanced force/torque sensing technologies, where he currently serves as CEO. His research focuses on Physical AI and contact-rich robotic manipulation, with particular emphasis on learning-based control strategies for dexterous manipulation in unstructured environments. His broader research interests encompass soft robotics, novel robotic mechanisms, dexterous robotic hands, grasping and manipulation, and field applications of robotic systems.
Professor
University of Maryland
College Park, MD, USA
Cameras That Calibrate Themselves: Adaptive Perception for Long-Duration Robots
Nikhil Chopra is a Professor in the Department of Mechanical Engineering at the University of Maryland, College Park. Prior to joining the University of Maryland, he was a Postdoctoral Research Associate at the Coordinated Science Laboratory, University of Illinois at Urbana–Champaign, from 2006 to 2007.
He received the Bachelor of Technology (Honors) degree in Mechanical Engineering from the Indian Institute of Technology Kharagpur, India, in 2001, and the M.S. degree in General Engineering in 2003 and the Ph.D. degree in Systems and Entrepreneurial Engineering in 2006, both from the University of Illinois at Urbana-Champaign.
His research interests include control of networked robotic systems, bilateral teleoperation, and applied nonlinear control. He is the co-author of the book Passivity-Based Control and Estimation in Networked Robotics.
Prof. Chopra is a Fellow of the American Society of Mechanical Engineers (ASME, 2025) and was a finalist for the Invention of the Year Award from the University of Maryland in 2025. His research group has also received several recognitions, including the Best Control Framework for Autonomous Navigation and Control Award from the IEEE Robotics and Automation Society Technical Committee on Algorithms for Planning and Control of Robot Motion at IROS 2024, as well as a Finalist Best Student Paper Award at the Indian Control Conference 2022. He has served on several editorial boards, including as an Associate Editor for Automatica, IEEE Transactions on Control of Network Systems, and IEEE Transactions on Automatic Control.
RST Fellow
Distinguished Professor
National Cheng Kung University,
Tainan, Taiwan
Embodied Intelligence: AI and Generative AI Architectures for Service and Humanoid Robots
Prof. Tzuu-Hseng S. Li is a Distinguished Professor in the Department of Electrical Engineering at National Cheng Kung University (NCKU), Tainan, Taiwan, where he also holds joint appointments in the Department of Psychology and the Miin Wu School of Computing. He received his B.S. degree from Tatung Institute of Technology in 1981, and his M.S. and Ph.D. degrees from NCKU in 1985 and 1989, respectively. He previously served as Director of the Center for Intelligent Robotics and Automation at NCKU (2013–2022) and Dean of the College of Electrical Engineering and Computer Science at National United University (2009–2012).
Prof. Li has served as President of the Robotics Society of Taiwan (RST) and the Chinese Automatic Control Society (CACS). He currently serves as Co-Editor-in-Chief of iRobotics, Associate Editor for IEEE Transactions on Cybernetics, and Honorary Vice President of the Federation of International RoboSport Association (FIRA). Recognised as a Fellow of both RST and CACS, he has been consistently listed among the World's Top 2% Scientists by Stanford University. His research interests include artificial intelligence, humanoid robots, AI-based service robots, fuzzy systems and control, and mechatronics.
Professor
Director of the Centre for Robotics Research, King's College London, London, UK
Embodied AI: Feeling the Real World
Prof. Shan Luo is a Full Professor in Robotics and AI at King’s College London, where he leads the Robot Perception Lab and directs research on tactile sensing, multimodal perception, and robot dexterity. He obtained his PhD in Robotics from King’s College London in 2016 and was a visiting researcher at the Massachusetts Institute of Technology (MIT) Computer Science and Artificial Intelligence Laboratory (CSAIL). Following his PhD, he held research positions at the University of Leeds and Harvard University, before joining the University of Liverpool as a Lecturer in 2018, where he founded and led the smARTLab. He later returned to King’s College London to further expand his research on intelligent robotic systems that integrate perception, learning, and physical interaction.
Prof. Luo’s research lies at the intersection of robotics, AI, and sensing, with a particular focus on tactile perception and robot manipulation. He has published over 100 papers in leading journals and conferences, including IEEE Transactions on Robotics (T-RO), IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), ICRA, IROS, RSS, ICML, CVPR, and ECCV.
He currently serves as an Associate Editor for IEEE Transactions on Robotics and has held editorial roles for major robotics conferences including ICRA, IROS, and RSS. He also led the highly successful T-RO Special Collection on Tactile Robotics, which attracted over 100 submissions. He has secured significant research funding from major UK and international agencies and industry partners, including EPSRC, AHRC, Innovate UK, the Royal Society, and Unilever, with over £4.4 million as Principal Investigator and more than £13 million as Co‑Investigator. Prof. Luo is an EPSRC Open Fellow, a Turing Open Source AI Fellow, and a Hi! Paris Visiting Chair.