Papers
5
Total Citations
285
H-Index
5
About
Wenbin Su is a robotics and human-machine interface researcher whose work sits at the intersection of brain-computer interfaces (BCIs), wearable exoskeletons, and autonomous robotic systems. His most significant contributions focus on harnessing neural and muscular signals to enable intuitive, real-time control of robotic platforms, advancing the frontier of assistive and rehabilitative technology. Su's most celebrated work — a hybrid BCI-powered walking exoskeleton for stair climbing (2019, 146 citations) — demonstrated how combining brain and muscle signals could meaningfully restore motor function for individuals requiring physical assistance. His influential research on motor-imagery-based teleoperation of dual-arm robots (2018, 105 citations) further established his expertise in translating electroencephalographic signals into precise, coordinated robotic manipulation. Su has also contributed to semi-autonomous mobile robot navigation driven by BCI strategies, enabling intelligent indoor navigation without requiring direct manual control. More recently, he has expanded into industrial robot health monitoring, applying Bayesian theory to optimize vibration sensor placement for fault diagnosis. Collectively, his work has accumulated hundreds of citations, reflecting its broad relevance to researchers working in rehabilitation robotics, human-robot interaction, and intelligent automation.
Research Focus
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