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About

Zhen Zhong’s research focuses on advancing the autonomy and coordination of robotic systems, with key contributions in robot kinematics, multi-robot localization, and robust control. In their most cited work (38 citations), Zhong introduced a novel inverse kinematics method for 6-DOF robots with non-spherical wrists, solving a long-standing challenge in industrial robotics by enabling precise motion planning for non-standard manipulator geometries. This work has significant implications for manufacturing and automation. Zhong also tackled the critical problem of relative localization in multi-robot systems, proposing a distributed framework that fuses dead reckoning with Ultra-Wideband (UWB) ranging—addressing the rarely explored issues of pose initialization and decentralized implementation. Additionally, Zhong developed a robust hybrid controller combining H2/H∞ and model predictive control for wheeled mobile robots, enhancing path tracking under kinematic disturbances. With a growing citation record and work published in leading venues, Zhong’s research bridges theoretical rigor and practical deployment, offering valuable tools for researchers and engineers working on robot manipulation, swarm coordination, and autonomous navigation.