Papers
11
Total Citations
122
H-Index
6
About
Mohsin Jamil is a leading researcher in robotics and control systems, with a focus on autonomous navigation, human-robot interaction, and biomedical signal processing. His work spans from developing kinematic models and control architectures for self-balancing and mobile robots—including a highly cited 2014 paper on two-wheeled self-balancing robots (37 citations)—to advancing assistive technologies through electromyography (EMG) signal analysis. Notably, his 2020 study on windowing techniques for intramuscular EMG signals (24 citations) has significant implications for diagnostic and rehabilitative devices. Jamil has also made key contributions to crane control, proposing novel dual-loop and hybrid control schemes to mitigate payload swing, and to collision avoidance with collaborative algorithms for multi-robot systems. His comparative analyses of classifiers for EMG signals and nonlinear controllers for DC motors further underscore his versatility. With over 120 total citations across his top works, Jamil’s research is instrumental in bridging theoretical control methods with practical robotic and biomedical applications, making him a valuable resource for students and researchers in mechatronics and intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1Modeling, control of a two-wheeled self-balancing robot37 citations · 2014
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- 5Comparative Analysis of Classifiers for EMG Signals8 citations · 2019
- 6Human tracking by a mobile robot using 3D features7 citations · 2013
- 7Comparison of Nonlinear Controllers for Speed Control of DC Motor6 citations · 2018
- 8Collaborative Optimal Reciprocal Collision Avoidance for Mobile Robots6 citations · 2015
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