Zaixing Zhang

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About

Zaixing Zhang is a leading researcher in integrated navigation systems, with a focus on enhancing positioning accuracy for autonomous wheeled robots in GNSS-denied environments. His most-cited work, the 2021 paper "GNSS/INS/ODO/wheel angle integrated navigation algorithm for an all-wheel steering robot" (24 citations), addresses a critical challenge: suppressing positioning errors when satellite signals are unavailable. Zhang’s key contribution lies in developing a novel algorithm that fuses data from inertial navigation systems, odometers, and wheel angle sensors, specifically tailored for robots with independent steering mechanisms—a configuration that violates traditional kinematic constraints. This work has significant implications for robotics, enabling more reliable navigation in complex, indoor, or urban canyons where GNSS fails. By advancing sensor fusion techniques, Zhang has helped bridge the gap between theoretical navigation models and practical, flexible robot platforms. His research is highly cited for its direct applicability to autonomous systems, making him a notable figure in the field of robotics and navigation engineering.