Haifeng Zhu
Papers
2
Total Citations
14
H-Index
2
About
Haifeng Zhu is a researcher whose work sits at the intersection of medical robotics, haptics, and smart sensing. His primary contributions lie in developing force-sensitive tools and control systems for minimally invasive surgical procedures. Zhu’s most cited work, “Identification of tissue types and boundaries with a fiber optic force sensor” (2014, 12 citations), pioneered a method for using real-time force feedback to distinguish between different tissue layers during needle insertion—a critical capability for improving surgical precision and safety. Building on this, his study “Force Feedback Control of a Robotic Needle Insertion into Layered Soft Tissues” (2018) proposed a novel feedback control law that leverages wavelet-transformed force signals from a fiber optic sensor integrated into the needle’s distal lumen. This work directly addresses the challenge of steering robotic needles through heterogeneous soft tissues, enhancing autonomous surgical systems. Though his citation counts are modest, Zhu’s research is foundational in the niche field of sensor-guided robotic intervention, demonstrating how precise force measurement can transform needle-based procedures. His contributions are particularly relevant for researchers advancing haptic feedback and tissue-aware robotics in surgery.
Research Focus
Key Achievements
Top Papers
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