Papers
6
Total Citations
53
H-Index
5
About
Xunju Ma is a researcher specializing in rehabilitation robotics, wearable exoskeleton systems, and human-machine interfaces, with a particular focus on developing intelligent control strategies for lower limb assistive devices. Their work sits at the intersection of biomedical engineering, signal processing, and robot control, addressing a critical challenge: enabling exoskeleton robots to respond naturally and intuitively to users' movement intentions. Ma's most significant contributions center on leveraging biological signals — including surface electromyography (sEMG), electroencephalogram (EEG), and inertial measurement units — to achieve real-time, adaptive exoskeleton control. Their 2019 work on sEMG-based active control (16 citations) pioneered more responsive rehabilitation systems beyond the rigid, pre-programmed modes found in commercial devices. Complementary studies on gait switching, locomotion mode recognition, and stable gait planning further advanced seamless human-robot coordination. More recently, Ma developed LM-Ease, a wearable exosuit supporting sitting, standing, and walking for aging populations and injury recovery (9 citations). Collectively accumulating over 50 citations, Ma's research meaningfully advances the field of assistive robotics, offering practical solutions that could restore independence for individuals with lower limb impairments — making their work highly relevant for both clinical researchers and rehabilitation engineers.
Research Focus
Key Achievements
Top Papers
- 1Real-time Active Control of a Lower Limb Exoskeleton Based on sEMG16 citations · 2019
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