Anwar P. P. Abdul Majeed
Universiti Malaysia Pahang Al-Sultan Abdullah, Sunway University, Xi’an Jiaotong-Liverpool University
Papers
17
Total Citations
193
H-Index
8
About
Anwar P. P. Abdul Majeed is a leading researcher at the intersection of robotics, rehabilitation engineering, and artificial intelligence. His work focuses on developing intelligent robotic systems for human assistance, particularly through the classification of human motion intention using machine learning models applied to electromyography (EMG) signals—a key enabler for seamless human-robot collaboration. His most cited paper (57 citations) demonstrates how time-domain EMG features can predict movement intent, advancing the design of responsive exoskeletons and prosthetics. Majeed has made significant contributions to lower-limb exoskeletons for gait rehabilitation, including a hybrid active force control system (23 citations) and a clinically considered lower extremity exoskeleton (17 citations). He has also explored upper-limb assistive strategies and autonomous agricultural robotics, such as a deep learning-based tomato harvesting system (13 citations). With over 170 citations across his top papers, Majeed’s work spans from dynamic ankle-foot orthoses to quadrotor control and sensor fusion for mobile robots. His research is notable for bridging theoretical machine learning with practical, human-centered robotic applications, making him a key figure in the development of assistive and rehabilitation technologies.
Research Focus
Key Achievements
Top Papers
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- 5Classifying Motion Intention from EMG signal: A k-NN Approach14 citations · 2019
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- 7Modelling and PID Control of a Quadrotor Aerial Robot11 citations · 2014
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- 9A Survey on Swarm Intelligence Algorithms for Optimizing Path Planning6 citations · 2025
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