Papers

2

Total Citations

48

H-Index

2

About

Tanhong Pu is a rising figure in the field of surgical robotics, with a focused expertise in microsurgery and micromanipulation systems. Their work centers on enhancing the precision and resilience of robotic tools for delicate medical procedures, particularly in ophthalmology, neurosurgery, and otolaryngology. Pu’s most-cited paper, “Microsurgery Robots: Applications, Design, and Development” (2023, 45 citations), provides a comprehensive survey of the field, establishing a foundational reference for researchers and engineers working on high-stakes, small-scale surgical interventions. In a more recent contribution, “Self-Recalibrating Micromanipulator System for Resilient Robotic Vision-Based Control” (2022), Pu introduced an innovative mechanism that allows robotic systems to maintain accurate vision-based control even under unpredictable scenes or poor imaging conditions—a critical advancement for real-world surgical environments. While still early in their career, Pu’s work demonstrates a clear trajectory toward improving the autonomy and reliability of microsurgical robots, with potential to significantly impact patient outcomes and surgical precision. Their research is particularly valuable for students and engineers interested in the intersection of robotics, computer vision, and minimally invasive surgery.

Research Focus

Key Achievements

2
H-Index
2
Papers
48
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Microsurgery Robots: Applications, Design, and Development
45 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Zhejiang University-University of Edinburgh Institute

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago