Papers
5
Total Citations
61
H-Index
5
About
Feng Xue is a robotics researcher specializing in wheeled mobile robot (WMR) mobility on deformable and unstructured terrains. His work focuses on the critical challenge of predicting and preventing mission failures caused by excessive wheel slip, sinkage, and tip-over in soft or rough environments. Xue’s major contributions include developing novel sensing and estimation techniques to monitor wheel-terrain interaction in real time. He pioneered the "Wheel Vision" concept, using a sensorized transparent wheel to directly visualize and measure soil deformation (15 citations), and created side-wheel camera methods to estimate contact geometry (10 citations). His articulated wheeled bevameter approach enables online mobility prediction using visual data (23 citations). Xue has also advanced terrain classification through multi-modal sensing, including sound-based methods for wheel-leg robots (5 citations), and developed information fusion techniques for analyzing robot traversability in unstructured settings (8 citations). His work bridges the gap between theoretical terramechanics and practical robotic autonomy, providing essential tools for planetary rovers, agricultural robots, and off-road autonomous vehicles operating in challenging, unpredictable environments.
Research Focus
Key Achievements
Top Papers
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- 5Sound-Based Terrain Classification for Multi-modal Wheel-Leg Robots5 citations · 2022