Papers
3
Total Citations
39
H-Index
3
About
Hao Wu is a versatile engineering researcher whose work spans three distinct but complementary domains: 3D point cloud processing, intelligent materials, and robotic control systems. His most recognized contribution, a hierarchical multiview registration framework for terrestrial laser scanning (TLS) point clouds utilizing loop constraints, has garnered 27 citations since its 2022 publication, establishing him as a meaningful voice in geospatial data processing and 3D reconstruction methodologies. Wu's materials science work demonstrates an impressive breadth of expertise; his 2024 study on room-temperature self-healing graphene polyurethane composites draws inspiration from the microscopic layered architecture of mother-of-pearl to engineer biomimetic interfaces that reconcile rapid healing with high robustness and ductility — an ongoing challenge in intelligent polymer research. More recently, his 2025 investigation into adaptive fuzzy PID control for six-degree-of-freedom manipulators addresses critical limitations in multi-robot coordination, tackling coupling interference and parameter instability that plague conventional control approaches. Collectively, Wu's portfolio reflects an engineer equally at home bridging physical sensing, advanced materials design, and intelligent automation — a combination well-suited to emerging applications in smart manufacturing and robotic systems.
Research Focus
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