Papers
4
Total Citations
25
H-Index
3
About
Hu Wu is a researcher focused on advancing robotics through optimization, synthesis, and intelligent perception. His primary research areas include multi-linkage robot design, trajectory planning, and machine vision for agricultural automation. Wu’s major contributions include developing a Niched Pareto Genetic Algorithm for dimensional synthesis of multi-linkage robots, addressing the complexity of high-degree-of-freedom systems to improve flexibility and efficiency. He also proposed the Slime Mould Whale Optimization Algorithm for joint trajectory planning, enhancing convergence speed and global search capability for smoother, more stable robot motion. In agricultural robotics, Wu introduced an improved 2D Kernel Principal Component Analysis Network for multiview fruit box recognition, enabling intelligent orchard mechanization. His work on type synthesis using modular combination with virtual rotation centers further advances systematic mechanical design. With over 25 citations across his key publications, Wu’s research demonstrates practical impact in both industrial and agricultural robotics. His notable achievements include pioneering bio-inspired optimization methods for robot control and contributing to the automation of fruit handling, reducing labor intensity in orchards. Wu’s interdisciplinary approach continues to push the boundaries of robotic efficiency and intelligence.
Research Focus
Key Achievements
Top Papers
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