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Robotics with enhanced autonomy and intelligence for effective medical rehabilitation

Professor Shane Xie will start discuss his EPSRC-funded project on intelligent reconfigurable exoskeletons

  • 12 May 2022, 11.00am to 12 May 2022, 1.00pm BST (GMT +01:00)
  • This is an online event.

This event will be hosted on Zoom. You can access the webinar on the day by visiting and using the following details:

  • Zoom ID: 941 0189 6405
  • Zoom passcode: 597841


Stroke and neurological diseases have significant impact on our society. This talk will discuss the key societal challenges and robotic technologies delivering effective care and opportunities for the healthcare industry. Professor Shane Xie 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. The talk will also briefly introduce the Leeds Centre for Assistive/Rehabilitation Robotics and their work on peanumatic Peano muscle, DEA, soft exoskeleton, bilaterial robot, neuromuscular and brain computer interfaces. The focus is on the enabling technologies for those whose strength and coordination have been affected by amputation, stroke, spinal cord injury, cerebral palsy and ageing.

Speaker biography

Professor Shane (Sheng Q) Xie, PhD, FEngNZ, FIMechE, FASME, is the Chair of Robotics and Autonomous Systems and Director of the Rehabilitation Robotics Lab at the University of Leeds since 2017. He was the Director of the Rehabilitation and Medical Robotics Centre at the University of Auckland, New Zealand. He has over 28 years of research experience in healthcare robotics and exoskeletons. He has published more than 400 refereed papers and 8 books in rehabilitation exoskeleton design and control, neuromuscular modelling, and advanced human-robot interaction. He has supervised over 20 postdoctoral researchers, 75 PhD students and 80 MEs in his team with funding of over £27M from five countries.

His team has invented three award-winning rehabilitation exoskeletons. He is an expert in control of exoskeletons, that is, impedance control, adaptive control, sliding mode control, and iterative learning control strategies. He has received many distinguished awards including the David Bensted Fellowship Award and the AMP Invention Award. He is an elected Fellow of Engineering New Zealand, Fellow of IMechE and Fellow of ASME. He was the Technical Editor for IEEE/ASME Transaction on Mechatronics and the Associate Editor for Mechatronics Elsevier.

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