Feifan Zhang
Papers
2
Total Citations
15
H-Index
1
About
Feifan Zhang is a rising researcher at the intersection of medical robotics and astronomical instrumentation, whose work advances precision motion planning in constrained environments. His primary research areas include flexible-needle path planning for minimally invasive surgery and collision avoidance for large-scale robotic fiber positioners used in multi-object spectroscopy. Zhang’s most notable contribution is the development of a variable curvature path planning method based on an improved Bi-RRT algorithm for robot-assisted flexible needle insertion, addressing the critical challenge of accuracy and obstacle avoidance in percutaneous puncture procedures. This work, published in 2024, has already garnered 14 citations, reflecting its immediate relevance to the medical robotics community. Additionally, his 2025 study on collision probability evaluation for LAMOST’s robotic fiber positioners—essential for ensuring no blind areas in the telescope’s field of view—demonstrates his versatility in applying robotics to astronomy. Though early in his career, Zhang’s dual focus on clinical and astronomical applications highlights his ability to solve complex spatial planning problems, making his research impactful for both surgical precision and large-scale sky surveys.
Research Focus
Key Achievements
Top Papers
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- 2