Papers
103
Total Citations
1,418
H-Index
22
About
Weihai Chen is a prominent robotics and human-machine interaction researcher whose work spans legged locomotion, brain-computer interfaces, rehabilitation robotics, and autonomous perception systems. His contributions to hexapod robot locomotion are foundational — his studies on central pattern generators for smooth gait transitions (74 citations) and chaotic CPG-based malfunction compensation (52 citations) have significantly advanced bio-inspired control strategies for multi-legged robots. Perhaps his most impactful contributions lie at the intersection of neuroscience and rehabilitation engineering: his brain-controlled lower-limb exoskeleton for gait training (68 citations) and EEG-based movement onset decoding work (70 citations) represent pioneering efforts to restore motor function through active neural participation, keeping humans meaningfully in the control loop. His earlier theoretical work on singularity analysis for planar parallel robots (49 citations) demonstrates a strong grounding in fundamental robotics mechanics. Chen has also made notable strides in robot perception, with research on 3D environmental modeling using Kinect sensors, visual terrain classification, and robust loop closure detection for SLAM systems. Collectively, his publications have amassed hundreds of citations, reflecting substantial influence across rehabilitation robotics, autonomous systems, and intelligent locomotion control.
Research Focus
Key Achievements
Top Papers
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- 3A brain-controlled lower-limb exoskeleton for human gait training68 citations · 2017
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- 6Regions of interest extraction based on HSV color space39 citations · 2012
- 7Tripod gaits planning and kinematics analysis of a hexapod robot39 citations · 2009
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- 9Fast 3D modeling in complex environments using a single Kinect sensor36 citations · 2013
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