Papers
9
Total Citations
71
H-Index
5
About
Xiaohan Liu is a robotics researcher whose work spans intelligent robot control, locomotion design, and indoor positioning systems. Their major contributions include developing novel wheel-leg transformable robots like SWheg and SWhegPro, which seamlessly shift between wheeled and legged gaits for enhanced maneuverability under heavy payloads—a key innovation for field robotics. Liu also advanced underwater glider technology with muscle-actuated buoyancy control and caudal fin turning, addressing the maneuverability limitations of traditional gliders. In indoor robotics, Liu pioneered the use of Fluorescent Light Communication (FLC) for precise robot localization and control, with early work on a nine-channel receiver system that garnered 20 citations. Their research on inverse kinematic formulas for constrained 6R robotic arms (20 citations) provides foundational tools for industrial automation. Liu’s impact is evident across multiple domains: from collision detection using momentum observers and neural networks (MomentumNet-CD) to residual stress detection in welded parts and high-climbing tracked inspection robots for cable trenches. With papers spanning 2009 to 2025, Liu demonstrates sustained innovation in making robots more adaptive, efficient, and capable in complex environments—bridging theory and practical deployment.
Research Focus
Key Achievements
Top Papers
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- 4SWhegPro: A Novel Robust Wheel-Leg Transformable Robot7 citations · 2022
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