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About

Xiaomei Hu is a robotics and agricultural automation researcher whose work sits at the intersection of intelligent systems, computer vision, and precision agriculture. Her research focuses on developing autonomous robotic platforms capable of performing complex tasks in unstructured environments, with particular emphasis on agricultural harvesting and mobile robot navigation. Among her most notable contributions is her work on agricultural robotics, including the design of specialized harvesting systems for citrus fruits and *Agaricus bisporus* mushrooms. Her citrus harvesting robot, integrating a mechanical arm with a caterpillar mobile platform, directly addresses the chronic inefficiency of manual harvesting, while her structured light camera-based picking point localization method advances the precision needed for commercial-scale deployment. Her picking path optimization work for mushroom robots further demonstrates her commitment to practical, cost-reducing solutions for the agricultural industry. Beyond crop harvesting, Hu has contributed to intelligent mobile robotics, developing a fuzzy dynamic obstacle avoidance algorithm for basketball robots using multi-sensor data fusion — a paper that has garnered 19 citations. Her vision for connected, data-driven food production is also evident in her smart farm design for *Agaricus bisporus* cultivation. Collectively, her publications reflect a researcher dedicated to bridging advanced robotics with real-world agricultural challenges.