Mohammad Soleimani Amiri
National University of Malaysia, Technical University of Malaysia Malacca
Papers
8
Total Citations
94
H-Index
6
About
Mohammad Soleimani Amiri is a robotics and control systems researcher whose work centers on intelligent control of robotic manipulators and wearable rehabilitation exoskeletons. His research uniquely bridges advanced optimization techniques — including genetic algorithms, swarm intelligence, and fuzzy logic — with adaptive control frameworks to solve complex real-world motion control challenges. Amiri's most influential contribution, garnering 26 citations, introduced a hybrid Genetic-Swarm optimization approach for solving inverse kinematics in multi-joint robotic arms, demonstrating superior trajectory tracking performance. Complementing this, his work on six-degree-of-freedom lower limb exoskeletons (20 citations) established robust simulation and ROS-based control methodologies that enable pre-prototype validation — a significant practical advancement in rehabilitation robotics. A recurring theme across his portfolio is assistive and rehabilitation technology for hemiplegic patients. His Lyapunov Adaptive Swarm-Fuzzy Logic Controller (15 citations) and subsequent disturbance observer-enhanced upper limb exoskeleton controllers reflect a sustained commitment to clinically meaningful, mathematically rigorous solutions for physiotherapy assistance. With growing citations across eight notable publications spanning 2020–2025, Amiri has established himself as an emerging voice in intelligent rehabilitation robotics, contributing tools that meaningfully support both researchers and clinical practitioners.
Research Focus
Key Achievements
Top Papers
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- 2Simulation and Control of a Six Degree of Freedom Lower Limb Exoskeleton20 citations · 2020
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