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About

Haoyu Wu is a robotics researcher whose work spans challenging domains from underwater exploration to precision agriculture. His primary research areas include autonomous robot localization in confined underwater environments, intelligent agricultural robotics, and dynamic coverage algorithms for selective weeding. Wu’s major contributions are exemplified by his highly cited review on underwater robot localization in confined spaces (2024, 21 citations), which systematically addresses the severe positioning disturbances caused by caves, shipwrecks, and submerged structures—critical for advancing autonomous underwater operations. He has also made notable strides in agricultural robotics, developing a continuous picking system for yellow peaches that integrates recognition and collision-free path planning (2023, 17 citations), and a dynamic coverage algorithm for mechanical selective weeding robots that adapts to varying weed distributions (2024, 12 citations). These works demonstrate his ability to solve real-world problems in unstructured environments, combining perception, planning, and control. With a growing citation record and publications in both review and application-focused venues, Haoyu Wu is establishing himself as a versatile roboticist whose research directly impacts underwater exploration and sustainable farming.