Papers
14
Total Citations
393
H-Index
7
About
Ming-Shaung Ju is a pioneering researcher in rehabilitation robotics and biomechatronics, with a career focused on developing intelligent robotic systems for neuromuscular rehabilitation. His major contributions center on designing specialized robots for upper-limb and ankle rehabilitation, particularly for stroke patients and those with neuromuscular disorders. Ju’s most influential work, a rehabilitation robot with a force-position hybrid fuzzy controller (178 citations), introduced a novel hybrid control strategy that enables precise guidance of patient movements along planned trajectories. He further advanced the field with a specialized robot for ankle rehabilitation and evaluation (50 citations) and a forearm rehabilitation robot (17 citations), both aimed at restoring motor function through passive and active training modes. His research also includes neuro-rehabilitation robot-assisted assessments of synergy patterns in chronic stroke patients (45 citations), providing quantitative insights into post-stroke motor impairments. Beyond rehabilitation, Ju has explored soft robotics with closed-loop control based on machine learning (5 citations) and developed sensing/actuating ionic polymer-metal composites for active guide-wire systems (54 citations). His work integrates robotics, control theory, and clinical assessment, making significant impacts on assistive technology and neurorehabilitation engineering.
Research Focus
Key Achievements
Top Papers
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- 3A Specialized Robot for Ankle Rehabilitation and Evaluation50 citations · 2008
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- 5Design of a forearm rehabilitation robot17 citations · 2007
- 6Comparison of Methods for Developing the Dynamics of Rigid- Body Systems9 citations · 1989
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- 9Closed-loop control of soft robot based on machine learning5 citations · 2019
- 10