Tian Zhi

Nanjing University of Aeronautics and Astronautics

Papers

Total Citations

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About

Tian Zhi is a robotics researcher whose work focuses on advancing Simultaneous Localization and Mapping (SLAM) systems for challenging, real-world environments. His primary research areas include multi-sensor fusion, LiDAR-inertial odometry, and robust navigation in degenerate conditions. Zhi’s major contribution is the development of MM-LINS, a multi-map LiDAR-inertial system designed to overcome severe environmental challenges—such as sensor occlusion from crowds or debris—that cause traditional SLAM to fail. By intelligently switching between local and global maps, his system maintains accurate localization even when sensors are temporarily blinded or when environments lack distinct features. This work has garnered 11 citations since its 2024 publication, reflecting its immediate relevance to the field. Zhi’s research is particularly impactful for automation in dynamic settings like warehouse logistics, healthcare robotics, and restaurant delivery, where reliability is paramount. His innovative approach to handling over-degenerate conditions marks a significant step toward making autonomous systems truly operational in the unpredictable, cluttered spaces of everyday life.