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Xiaobing Zou is a robotics researcher whose work has focused primarily on mobile robot navigation, environment modeling, and path planning. Over the course of the 2000s, Zou made meaningful contributions to the challenge of enabling autonomous robots to perceive, model, and navigate complex real-world environments. His most cited work, "Non-smooth environment modeling and global path planning for mobile robots" (2003, 12 citations), established foundational approaches for representing irregular environments and computing efficient traversal paths. Building on this, Zou developed innovative environment modeling techniques using approximate Voronoi boundary networks, which enhanced path connectivity in cluttered settings. His 2006 paper on dead reckoning systems (10 citations) addressed the critical problem of robot localization without reliance on external signals. Zou also explored hybrid navigation architectures that integrate reactive and deliberative control strategies, as well as connectionist models that allow robots to learn spatial representations through accumulated perceptual experience. His body of work spans both theoretical modeling and practical control systems, reflecting a holistic approach to autonomous mobile robotics. While his citation footprint remains modest, his research contributed during a formative period in the field's development.