Iven Mareels
Papers
12
Total Citations
363
H-Index
7
About
Iven Mareels is a leading figure in the fields of control systems, robotics, and neurorehabilitation engineering. His most impactful contributions lie at the intersection of iterative learning control (ILC) and robotic-assisted therapy, where he has pioneered methods to make rehabilitation safer and more effective. His seminal 2006 work on adaptive repetitive learning control for robotic manipulators (175 citations) introduced a novel Lyapunov-like function that eliminated the need for precise initial repositioning, a fundamental advancement in the field. Mareels has also been instrumental in translating theory into practice, notably through the development of the EMU, a transparent 3D robotic manipulandum for upper-limb rehabilitation. His research further explores the use of machine learning to evaluate patient progress and the critical role of enforcing output constraints in ILC to ensure patient safety during therapy. By combining rigorous control theory with practical device design, Mareels has significantly advanced the paradigm of evidence-based, personalized rehabilitation for individuals with neurological injuries.
Research Focus
Key Achievements
Top Papers
- 1
- 2Learning control in robot-assisted rehabilitation of motor skills – a review50 citations · 2016
- 3EMU: A transparent 3D robotic manipulandum for upper-limb rehabilitation40 citations · 2017
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- 10Feature Learning in Assistive Rehabilitation Robotic Systems4 citations · 2018