Papers
3
Total Citations
59
H-Index
3
About
Sehua Ji is a rising researcher in robotics, with a focus on autonomous navigation, multi-robot collaboration, and LiDAR-based SLAM (Simultaneous Localization and Mapping). Their work addresses critical challenges in enabling robots to perceive, plan, and operate reliably in complex, real-world environments. Ji’s most influential contribution is a comprehensive 2024 survey on autonomous robots and multi-robot navigation, which has already garnered 36 citations, synthesizing advances in perception, planning, and collaboration. In parallel, Ji has developed innovative solutions to the “degeneracy problem” in LiDAR SLAM—where systems fail in sparse geometric environments like long corridors or tunnels. Their 2024 papers introduce a novel point-to-distribution degeneracy detection factor and an optimization framework (P2d-DO), accumulating 23 combined citations. These contributions enhance the accuracy and robustness of localization and mapping, directly improving the reliability of autonomous robots in challenging settings. Ji’s work is notable for its practical impact on field robotics, offering both theoretical insights and deployable algorithms that advance the state of the art in multi-robot systems and SLAM technology.
Research Focus
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