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About

Lintong Zhang is a robotics researcher whose work focuses on autonomous navigation, localization, and long-term environmental perception in complex, unstructured environments. A key contributor to the CERBERUS team, Zhang played an integral role in winning the DARPA Subterranean Challenge Final Event in 2021—a landmark achievement in multi-robot systems for underground exploration. Their research spans one-shot lidar localization in indoor environments (InstaLoc), which draws on human-inspired navigation strategies to enable robots to localize from a single scan, and object-level change detection (LiSTA), which uses multi-mission SLAM to probabilistically detect geometric changes over time in cluttered settings. Zhang has also explored visual localization across different 3D map representations, comparing point clouds, meshes, and NeRFs. With over 35 citations across their most-cited works, Zhang’s contributions are shaping robust, real-world robotic autonomy—from subterranean search-and-rescue to persistent environmental monitoring—making them a rising figure in field robotics and SLAM research.