Papers
9
Total Citations
158
H-Index
5
About
Yaxu Xue is a leading researcher at the intersection of human motion sensing, dexterous robotics, and intelligent control systems. His work centers on multimodal sensing and machine learning for human hand motion analysis, with a landmark 2018 review on the topic accumulating 77 citations. Xue pioneered novel hand motion recognition systems using adaptive directed acyclic graphs and hybrid sensor fusion (SEMG and Kinect), achieving robust classification of complex in-hand manipulations. His contributions extend to bipedal robot balance control, where he developed variable impedance controllers inspired by artificial muscle activation models, and to rehabilitation robotics with virtual neuromuscular control for ankle exoskeletons. Notably, Xue has also explored biohybrid systems, demonstrating algal microrobots for micro-object manipulation. His work on GIS partial discharge pattern recognition using multi-feature fusion of PRPD images (24 citations) shows versatility beyond robotics. With over 150 total citations across his most-cited papers, Xue’s research advances both fundamental understanding and practical applications in robotic manipulation, prosthetics, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1Multimodal Human Hand Motion Sensing and Analysis—A Review77 citations · 2018
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- 4Virtual Neuromuscular Control for Robotic Ankle Exoskeleton Standing Balance11 citations · 2022
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- 9Adaptive ankle impedance control for bipedal robotic upright balance2 citations · 2022