Papers
7
Total Citations
44
H-Index
4
About
Yangtao Ge is a robotics researcher whose work sits at the intersection of autonomous navigation, terrain perception, and construction inspection. His primary research focuses on enabling robots—both wheeled and legged—to safely and effectively traverse deformable, unstructured environments such as granular soils and off-road terrains. Ge’s major contributions include the development of the TAIL dataset, a terrain-aware multi-modal SLAM benchmark that has already garnered 11 citations since its 2024 release, providing a critical resource for advancing robot locomotion in the wild. He has also pioneered methods for wheel-terrain contact geometry estimation using side-wheel cameras and physics-informed terrain property prediction via sensorized feet for quadruped robots, each earning around 10 citations. Beyond outdoor mobility, Ge has applied his perception expertise to construction quality assessment, creating high-accuracy inspection systems for hollowness and crack detection using sensor fusion and deep learning. His work on BIM-integrated robotic inspection further demonstrates his commitment to bridging robotics with real-world infrastructure needs. With a growing citation record and a clear focus on solving practical challenges in autonomous navigation and construction, Yangtao Ge is establishing himself as a rising figure in field robotics.
Research Focus
Key Achievements
Top Papers
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