Abolfazl Mohebbi
Polytechnique Montréal, Isfahan University of Technology, Concordia University
Papers
20
Total Citations
437
H-Index
10
About
Abolfazl Mohebbi is a multidisciplinary robotics researcher whose work spans human-robot interaction, visual servoing, assistive technologies, and rehabilitation robotics. His most cited contribution, a 2020 review on human-robot interaction in rehabilitation and assistance (167 citations), established him as a leading voice in understanding how robots can support individuals with physical impairments. Complementing this, his systematic study on EMG-based hand gesture recognition for assistive robots (2022, 50 citations) advances prosthetic control through deep learning, directly addressing quality-of-life challenges faced by upper-limb amputees. Mohebbi has made significant technical contributions to visual servoing, developing an augmented image-based visual servoing controller for 6-DOF manipulators using acceleration commands (2014, 96 citations), alongside stereo vision frameworks for tracking and catching moving objects in real time. His work on lower-limb pediatric exoskeletons and transparent exoskeleton-based gait training reflects a sustained commitment to translating robotics into clinical rehabilitation settings. Early career work on unmanned ground vehicles and online trajectory planning further demonstrates his breadth across mechatronics and autonomous systems. Collectively, Mohebbi's research bridges fundamental robotic control theory with meaningful human-centered applications, making him a compelling figure for students exploring the intersection of robotics, rehabilitation, and assistive technology.
Research Focus
Key Achievements
Top Papers
- 1Human-Robot Interaction in Rehabilitation and Assistance: a Review167 citations · 2020
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10