Papers

2

Total Citations

6

H-Index

2

About

Qianlin Dai is a pioneering researcher in surgical robotics, with a focus on enhancing precision and safety in minimally invasive procedures. Their key research areas include biomechanics-based collaborative manipulation, ultrasound-guided robotic systems, and vitreoretinal surgical robotics. Dai's major contributions lie in developing novel control methods that integrate surgeon expertise with robotic assistance to mitigate positional instability during percutaneous puncture surgeries, as demonstrated in their 2025 study, which has garnered 3 citations for its innovative approach to reducing patient discomfort. Additionally, their work on the "Eye Robotic System for Vitreoretinal Surgery" (2021, 3 citations) advances ophthalmic surgery by enabling more stable and accurate interventions. Though early in their career, Dai's research addresses critical challenges in surgical precision, with potential to transform clinical outcomes. Their achievements highlight a commitment to bridging human skill and robotic reliability, making their work a valuable resource for students and researchers exploring the future of collaborative surgical technologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Biomechanics-Based Collaborative Manipulation Method for an Ultrasound-Guided Puncture Robot
3 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Health Awareness (United States), Shanghai Jiao Tong University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago