Huifeng Wu

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About

Huifeng Wu’s research lies at the intersection of medical robotics, intelligent manufacturing, and multi-robot coordination, with a focus on developing precise, real-time control systems for complex environments. A key contribution is the design and control of a robotic arm for percutaneous surgery, where Wu addressed the mechanical structure, motion control, and force feedback necessary for safe needle manipulation—work that has garnered foundational citations in surgical robotics. Wu also advanced industrial automation by proposing a VCA protocol-based multilevel flexible architecture for visual servo control on embedded PLCs, enabling seamless integration of vision and motion systems despite diverse hardware and communication protocols. More recently, Wu has tackled the scalability of multi-robot systems, introducing efficient task and path planning algorithms for large-scale, cluttered environments, with applications in package delivery and search-and-rescue. With over 14 citations across these core works, Wu’s contributions demonstrate a consistent drive to bridge theoretical control methods with practical, real-world robotic systems, making their research valuable for engineers and researchers in both medical and industrial robotics.