Description:
Human-Machine Interfaces in Medical Robotics presents essential and advanced information on developing intuitive human-machine interfaces (HMI) for robotic surgery and rehabilitation. This book provides extensive coverage of multidisciplinary information needed to develop efficient HMI, discussing core technologies of the field, including hand-free control strategies, sensory feedback, data-driven approaches, human-robot shared control, autonomous control, human motor adaption, training, and learning.
Arranged in three parts, including interfaces in medical robotics, intelligent machines, and human users, this book provides potential solutions to open questions like what the optimal interface and efficient interaction mode is to facilitate a surgeon's operation, a patient's motor control, or human augmentation.Brief description: Ziwei Wang is a lecturer in Robotics and the Director of Advanced Robotic Teleoperation Lab, at the School of Engineering, Lancaster University, U.K. He received the PhD from the Department of Automation, Tsinghua University, China. During the period of 2020 and 2022, he was a research associate with the Human Robotics Group, the Department of Bioengineering, Imperial College London, U.K. His research interests focus on autonomous robot, fuzzy control, human-robot shared control and computational intelligence for medical applications, aiming at enhancing human sensorimotor capability and overall robotic system performance.