Papers
32
Total Citations
342
H-Index
8
About
Dr. Muye Pang is a leading researcher in robotics and human-machine interaction, whose work bridges the gap between biological signals and robotic control. His primary research areas include surface electromyography (sEMG)-based motion recognition, multi-robot path planning, and the design of intelligent exoskeleton systems for rehabilitation. Dr. Pang’s major contributions include pioneering methods for upper-limb movement classification using sEMG signals—a foundational paper with 76 citations—and developing an improved self-adaptive particle swarm optimization algorithm for multi-robot path planning, cited 59 times. He has also advanced personalized control of robotic ankle exoskeletons through adaptive fuzzy inference (37 citations) and designed novel exoskeleton devices for elbow joint rehabilitation. His work on artificial human balance control and grasp detection using deep learning further demonstrates his versatility. With over 275 total citations across his most-cited papers, Dr. Pang’s research has significantly impacted rehabilitation robotics, prosthetic control, and autonomous navigation. His 2024 comprehensive review on robotics perception and control underscores his role as a thought leader in the field, making his work essential reading for students and researchers interested in the future of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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- 4Robotics Perception and Control: Key Technologies and Applications33 citations · 2024
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- 6Artificial Human Balance Control by Calf Muscle Activation Modelling16 citations · 2020
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- 8Grasp Detection Based on Faster Region CNN9 citations · 2020
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