Distinguished Lecture "Intelligent Robotics for Effective Stroke Rehabilitation Treatment: Challenges and Opportunities" by Professor Shane Sheng Quan XIE

Abstract

Stroke and neurological diseases have significant impact on our society, robotic technologies have shown potential for delivering effective care and presented many opportunities for the healthcare industry. The talk will cover the recent development of robotics for stroke rehabilitation, the research gaps and the need for new technologies in neuroscience, robotics and artificial intelligence. The talk will introduce an EPSRC-funded project on intelligent reconfigurable exoskeletons tailored to meet patients’ needs, deliver effective diagnosis and personalised treatment, and monitored remotely by rehabilitation therapists. Examples of some of the current ongoing research work at the Leeds Centre for Assistive/Rehabilitation Robotics will be presented including pneumatic Peano muscle, DEA, soft exoskeleton, bilaterial robot, neuromuscular and brain computer interfaces. The focus is on enabling technologies for those whose strength and coordination have been affected by amputation, stroke, spinal cord injury, cerebral palsy and ageing.

About the speaker

Professor Shane Sheng Quan XIE
Chair of Robotics and Autonomous Systems,
Director of the Rehabilitation Robotics Lab,
School of Electronic and Electrical Engineering,
University of Leeds, UK

Prof. Shane (Sheng Q) Xie, Ph.D., FRSNZ, FEngNZ, FIEEE, FASME, FIMechE and FAAIA, is the Chair of Robotics and Autonomous Systems and Director of the Rehabilitation Robotics Lab at the University of Leeds, and he was the Director of the Rehabilitation and Medical Robotics Centre at the University of Auckland, New Zealand (NZ, 2002-2016). He has >30 years of research experience in healthcare robotics and exoskeletons. He has published > 500 refereed papers and 8 books in rehabilitation exoskeleton design and control, neuromuscular modelling, and advanced human-robot interaction. He has supervised >15 postdocs, 100 PhDs and 80 MEs in his team with funding of >£30M from five countries since 2003. His team has invented three award-winning rehabilitation exoskeletons. He is an expert in control of exoskeletons, i.e. impedance control, adaptive control, sliding mode control, and iterative learning control strategies. He has received many distinguished awards including the New Zealand Science Challenge Award, the David Bensted Fellowship Award, and the AMP Invention Award. He is an elected Fellow of Royal Society of New Zealand, Fellow of Engineering New Zealand, Fellow of IEEE, ASME, IMechE and AAIA. He was the Technical Editor for IEEE/ASME Transaction on Mechatronics, Associate Editor for Mechatronics Elservier and Editorial member of many top journals in Mechatronics and Robotics.