Prof. Okamura is the Richard W. Weiland Professor of Engineering at Stanford University in the mechanical engineering department, with a courtesy appointment in computer science. She was previously Professor and Vice Chair of mechanical engineering at Johns Hopkins University. She is currently a deputy director of the Wu Tsai Stanford Neurosciences Institute, a Science Fellow/Senior Fellow (courtesy) at the Hoover Institution, and a founding member and executive committee member of the Stanford Robotics Center. She has been editor-in-chief of the journal IEEE Robotics and Automation Letters, associate editor of the IEEE Transactions on Haptics, editor-in-chief of the IEEE International Conference on Robotics and Automation Conference Editorial Board, an editor of the International Journal of Robotics Research, and co-chair of the IEEE Haptics Symposium. Her academic interests include haptics, teleoperation, virtual environments and simulators, medical robotics, soft robotics, neuromechanics and rehabilitation, prosthetics, and education.
Prof. Ren received his Ph.D. in Electronic Engineering (Biomedical Engineering) from the Chinese University of Hong Kong in 2008. He has held research and academic positions at several leading institutions, including the Chinese University of Hong Kong, UC Berkeley, Johns Hopkins University, Harvard Medical School, Boston Children’s Hospital, Children’s National Medical Centre, and the National University of Singapore. His research focuses on intelligent surgical robotics, flexible and soft robotics, biorobotics, medical mechatronics, and AI-enabled robotic systems for image-guided medical procedures. Professor Ren has served as Associate Editor for IEEE Transactions on Automation Science & Engineering and Medical & Biological Engineering & Computing, and has taken key organisational roles in major robotics conferences such as ICRA and IROS. He has received numerous international awards recognising his contributions to biomedical robotics and healthcare technologies.
Prof. Iulian I. Iordachita is the Department of Mechanical Engineering, a member of the Laboratory for Computational Sensing and Robotics, and director of the Advanced Medical Instrumentation and Robotics (AMIRo) Research Lab. His research focuses on medical and surgical robotics; medical instrumentation and smart surgical tools; image-guided and computer-assisted surgery; and mechanisms and mechanical transmissions for robots. He received his Mechanical Engineer Diploma in the Technology of Mechanical Engineering; Diploma of Advanced Studies in Industrial Robots; and Doctor Engineer Diploma in Mechanical Engineering, all at the University of Craiova (Romania) in 1984, 1989, and 1996, respectively. He joined Johns Hopkins in 2003 after 14 years at University of Craiova, where he was an assistant and associate professor.
Dr. Frédéric Giraud received his M.S. degree in micro/nano electronics and computer science at the Ecole des Mines de Saint-Etienne in 2017. He then completed a Ph.D. in robotics at the Ecole Polytechnique Federale de Lausanne in 2022. His research focused on designing, fabricating, modeling, and controlling novel meso-scale robotic platforms for human-robot interactions. He is currently working as a Senior R&D engineer in the ROCS team.
Prof. Robert J. Webster III is Senior Associate Provost for Commercialisation and Technology Transfer at Vanderbilt University, and the Richard A. Schroeder Professor of Mechanical Engineering. A member of the VISE Steering Committee, he leads the Medical Engineering and Discovery (MED) Lab, where clinicians and engineers co‑create image‑guided technologies to make interventions more accurate, less invasive, and more effective. His research spans surgical robotics and mechanics‑based modelling, with projects in natural‑orifice surgery (nasal, throat, urethral), inner‑ear and lung interventions, image‑guided kidney surgery, and novel treatments for brain tumours, cerebral haemorrhage, and epilepsy.
Prof. Boehler is an Assistant Professor (Tenure Track) of Robotics at ETH Zurich in the Institute of Robotics and Intelligent Systems, where he leads the Medical Robotics Lab. He received an engineering degree in mechatronics from INSA Strasbourg (2013), followed by an M.Sc. (2013) and a Ph.D. (2016) in robotics from the University of Strasbourg. From 2017 to 2025, he was a postdoctoral associate and later a senior researcher at the Multi‑Scale Robotics Lab at ETH Zurich, working on magnetically guided devices and electromagnetic navigation technologies for medical applications. His current research addresses unmet clinical needs in surgical and medical procedures, with an emphasis on the design, control, and simulation of robotic systems for therapeutic and diagnostic interventions.
Prof. Yip is a Professor of Electrical and Computer Engineering at UC San Diego, Director of the Advanced Robotics and Controls Laboratory (ARCLab), and Director of the Healthcare and Medical Robotics Collaboratory at the UCSD Contextual Robotics Institute. His research and expertise are in the areas of surgical robotics, biomimetic robots, and robot learning. His research lab at UCSD has received numerous best paper awards at top robotics and AI conferences, and Dr. Yip has been recognized by the NSF CAREER award, NIH Trailblazer award, and as an IEEE Distinguished Lecturer. His research projects have led to the founding of several robotics startup companies. He was named the Faculty Innovator of the Year at UC San Diego in 2024 and elected as a Senior Member into the U.S. National Academy of Inventors. He is also a former Disney Imagineer and Faculty Consultant to Amazon Robotics. His degrees are in Mechatronics Engineering (BS), Electrical Engineering (MS), and Bioengineering (PhD) from U. Waterloo, UBC, and Stanford University, respectively.
Dr. Keshav Iyengar is an R&D Engineer at Panda Surgical, specializing in surgical robotics hardware design, mechatronic integration, and intelligent control. At Panda Surgical, he specializes in the research, development and clinical verification of handheld robotic systems for minimally invasive neurosurgery, with a focus on patented interchangeable end-effectors, ergonomic interfaces, and pipeline instruments. Keshav completed his PhD in Robotics and AI at University College London (UCL), where he researched model-free deep reinforcement learning for concentric tube robots, addressing key Sim2Real transfer challenges across publications in IEEE RA-L, TMRB, and ICRA. He holds an MSc in Robotics and Computation from UCL and a BASc in Mechanical Engineering (Mechatronics) from the University of Waterloo in Canada. Bridging his AI experience with clinical-grade medical device engineering, Keshav is focused on designing high-precision, accessible robotic systems for the operating room.
Prof. Cameron Riviere received the Ph.D. in mechanical engineering from The Johns Hopkins University in 1995, and joined the Robotics Institute at Carnegie Mellon University the same year. He is presently Research Professor of Robotics, Biomedical Engineering, and Mechanical Engineering, and the Director of the Surgical Mechatronics Laboratory in the Robotics Institute. Since 1998 he has also been Adjunct Professor in the Department of Rehabilitation Science and Technology at the University of Pittsburgh. He has been guest editor of special issues on medical robotics in the Proceedings of the IEEE and in the Annals of Biomedical Engineering. His research interests include medical robotics, control systems, signal processing, and biomedical applications of human-machine interfaces.