Seyed Kamal Hosseini Sani
Papers
6
Total Citations
74
H-Index
5
About
Seyed Kamal Hosseini Sani is a leading researcher in robotics and control systems, specializing in model predictive control (MPC), nonlinear dynamics, and assistive exoskeleton technologies. His most impactful work focuses on developing real-time control strategies for lower limb exoskeletons, where he has pioneered nonlinear MPC approaches that handle input saturation and compliant actuation to deliver safe, effective assistive torque for elderly and healthy users. His 2020 paper on real-time nonlinear MPC for exoskeletons has garnered 27 citations, while his 2018 assistive strategy paper (17 citations) further established his reputation in human-robot interaction. Hosseini Sani has also made significant contributions to the control of underactuated systems, notably through his work on two-wheeled inverted pendulum robots, where he has applied robust and constrained MPC techniques (14 citations). His research extends to adaptive control, where he has enhanced model reference adaptive control through normalized Lyapunov design to improve convergence and tracking performance, and to robust output path following for nonlinear uncertain systems. Through his innovative integration of advanced control theory with practical robotic applications, Hosseini Sani continues to push the boundaries of autonomous and assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Design of Model Predictive Control of two-wheeled inverted pendulum robot14 citations · 2015
- 4
- 5
- 6