IEEE Control Systems Society Distinguish Lecture: Learning Control and Its Application in Rehabilitation Robotics
The Joint Control, Aerospace and Electronic Systems Chapter will hold a Distinguished Lecture of the IEEE Control Systems Society at 6 pm on the 28th of October. It will be presented by Prof Ying Tan from the University of Melbourne.
Join us to learn more about "Learning Control and Its Application in Rehabilitation Robotics", and see you there.
Regards,
Dr Xin Yuan (Vernon)
School of Electrical and Mechanical Engineering | Faculty of SET | The University of Adelaide
Treasurer | IEEE Joint Control, Aerospace and Electronic Systems Chapter
Vice-Chair | IEEE South Australia Section
Student Activity Coordinator | IEEE Australia Council
Date and Time
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- The University of Adelaide
- Adelaide, South Australia
- Australia
- Building: Engineering South Building
- Room Number: S111
- Click here for Map
- Starts 10 September 2025 03:30 PM UTC
- Ends 27 October 2025 01:30 PM UTC
- No Admission Charge
Speakers
Ying of The University of Melbourne
Learning Control and Its Application in Rehabilitation Robotics
Rehabilitation robotics leverages the principle of "practice makes perfect" by using repetitive task-based exercises to facilitate motor re-learning and functional recovery, particularly in poststroke rehabilitation. Rooted in neurocognitive rehabilitation theories, robot-assisted therapies provide tailored, intensive training routines that meet individual patient needs. Learning control (LC) strategies, originally developed in 1978 to achieve high tracking performance in industrial applications, offer a compelling framework for controller designs in this field. Unlike traditional control methods, LC algorithms improve performance over time by utilizing information from previous iterations. This talk highlights recent advances in LC designs and illustrates how various LC algorithms effectively address the unique challenges posed by rehabilitation robotics. Additionally, it explores future opportunities for integrating learning control into rehabilitation systems and outlines key research questions for advancing control theory in this critical area.
Biography:
Dr Ying Tan is a Professor in Department of Mechanical Engineering at the University of Melbourne, Australia. She got her bachelor's degree from Tianjin University, China in 1995, and subsequently completed her PhD at National University of Singapore in 2002. Following her doctoral studies, Dr. Tan took a postdoctoral fellowship in Chemical Engineering Department at McMaster University in 2002, before joining the University of Melbourne in 2004. Her exceptional research contributions have earned her prestigious accolades, including an Australian Postdoctoral Fellowship (2006-2008) and a Future Fellowship (2009-2013) from Australian Research Council (ARC). Presently, Dr Tan serves as a member of College of Experts (COE) of ARC(2024-2026). She is widely recognized as a distinguished scholar in her field, holding the esteemed titles of Fellow of the Institute of Electrical and Electronic Engineers (IEEE), Fellow of the institution of Engineers in Australia, and Fellow of the Asia-Pacific Artificial Intelligence Association. Dr Tan's research interests are diverse, spanning intelligent systems, nonlinear systems, data-driven optimization, rehabiltation robotic systems, human motor learning, wearable sensors, and model-guided machine learning.
Address:Victoria, Australia