Papers
26
Total Citations
452
H-Index
10
About
Yassine Kali is a leading researcher in advanced control systems for robotics, specializing in sliding mode control, time delay estimation, and nonlinear dynamics. His work focuses on enhancing the robustness and precision of robotic manipulators, particularly for rehabilitation exoskeletons and bipedal locomotion. Kali’s most influential contribution is the development of the super-twisting algorithm with time delay estimation, which significantly improves trajectory tracking and disturbance rejection in uncertain robot manipulators—a paper cited over 120 times. He has also pioneered discrete-time second-order sliding mode controllers and model-based switching functions, experimentally validated on a 7-DOF exoskeleton arm for upper-limb rehabilitation. His novel sliding mode with time delay control (SMTDC) framework addresses MIMO nonlinear systems with unknown dynamics, earning over 30 citations. More recently, Kali has explored fixed-time terminal sliding mode for humanoid robots like the NAO, and learning-based inverse kinematics for rehabilitation. With over 350 total citations across his top ten papers, Kali’s work bridges theoretical control innovation and practical robotic applications, making him a key figure in advancing safe, adaptive, and high-performance robotic systems for healthcare and automation.
Research Focus
Key Achievements
Top Papers
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- 6Sliding Mode with Time Delay Control for Robot Manipulators16 citations · 2016
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- 8Control of Robot Manipulators Using Modified Backstepping Sliding Mode14 citations · 2019
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