Varun Kanal
Papers
6
Total Citations
57
H-Index
5
About
Varun Kanal is a researcher at the forefront of assistive and rehabilitative robotics, with a focus on developing intelligent systems for individuals with motor impairments, particularly those with Multiple Sclerosis (MS). His work centers on the intersection of human-robot interaction, fatigue assessment, and adaptive rehabilitation. Kanal’s major contributions include the creation of “MAGNI Dynamics,” a vision-based kinematic and dynamic upper-limb model for home-based robotic rehabilitation, which uses adaptive haptic feedback to personalize therapy. He has pioneered frameworks that leverage serious games and multimodal sensing to assess both physical and cognitive fatigue in real-time, using muscle fatigue as a trigger for adaptive robotic assistance. His highly cited survey on assistive technologies for MS rehabilitation (18 citations) provides a comprehensive roadmap for the field. With a total of over 57 citations across his key works, Kanal’s research is shaping how robots can perceive human cognitive states and adapt their behavior, making rehabilitation more effective and accessible. His work is essential reading for anyone interested in the future of intelligent, patient-centered robotic therapy.
Research Focus
Key Achievements
Top Papers
- 1
- 2Towards a serious game based human-robot framework for fatigue assessment14 citations · 2020
- 3
- 4Adaptive robotic rehabilitation using muscle fatigue as a trigger6 citations · 2019
- 5
- 6