Papers
117
Total Citations
2,594
H-Index
30
About
Mohammad Habibur Rahman is a prominent robotics and control systems engineer whose research has profoundly shaped the field of rehabilitation robotics and assistive technology. His work centers on exoskeleton robot design, advanced control algorithms, and human-robot interaction, with a particular focus on improving quality of life for individuals with physical disabilities, including stroke survivors. Rahman's most celebrated contribution is the development of a 3-DOF mobile exoskeleton for upper-limb motion assistance (2007, 178 citations), a foundational work that helped establish modern upper-extremity rehabilitation robotics. He has since extended this line of research to sophisticated 7-DOF systems, pioneering control strategies such as sliding mode control, adaptive time-delay estimation with backstepping, and fractional-order neural network approaches — each designed to handle uncertain and complex human limb dynamics during rehabilitation therapy. Beyond hardware design, Rahman has advanced the broader field through influential review work, including a widely cited gap analysis between research prototypes and commercial exoskeletons (2017, 93 citations) and a comprehensive survey of robotic gripper designs (2023, 93 citations). His eye-gaze controlled wheelchair-mounted robot (2021, 68 citations) further demonstrates his commitment to practical assistive solutions. With over 930 citations across his top works, Rahman stands as a leading voice bridging control engineering and rehabilitative medicine.
Research Focus
Key Achievements
Top Papers
- 1
- 2Control of an exoskeleton robot arm with sliding mode exponential reaching law113 citations · 2013
- 3
- 4
- 5Current Designs of Robotic Arm Grippers: A Comprehensive Systematic Review93 citations · 2023
- 6
- 7
- 8
- 9
- 10