Papers
1
Total Citations
11
H-Index
1
About
Ningbo Yang is a pioneering robotics researcher whose work lies at the intersection of autonomous navigation, multi-modal perception, and locomotion in challenging environments. His key research areas include terrain-aware SLAM (Simultaneous Localization and Mapping), deformable granular terrain analysis, and off-road robot traversal. Yang’s major contribution is the development of TAIL—the first Terrain-Aware multi-modal SLAM dataset specifically designed for robot locomotion in deformable granular environments like sand, gravel, and soil. This groundbreaking dataset integrates LiDAR, visual, inertial, and proprioceptive sensing across diverse motion patterns, enabling robots to perceive and adapt to terrain deformations in real time. With 11 citations since its 2024 publication, TAIL has already become a foundational resource for researchers tackling the long-standing challenge of robust autonomous navigation in unstructured outdoor settings. Yang’s work directly addresses a critical gap in field robotics: the lack of multi-modal perception data for deformable terrains, which has historically hindered effective off-road traversal. By providing a standardized benchmark, his research accelerates progress toward truly autonomous robots capable of navigating the wilds with human-like terrain awareness.
Research Focus
Key Achievements
Top Papers
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