Papers

2

Total Citations

16

H-Index

2

About

Xiaoxiao Xin is a leading researcher in the field of robot-assisted minimally invasive surgery (RMIS), with a primary focus on haptic feedback and force sensing for surgical robotics. Her work addresses critical challenges in the operating room, particularly the development of master manipulators that provide surgeons with enhanced dexterity and realistic tactile feedback. In her highly cited 2017 paper, "Design and analysis of a haptic master manipulator for minimally invasive surgery" (13 citations), Xin advanced the ergonomics and control of surgical robot systems like da Vinci and MicroHand A. She has also pioneered model-based approaches to grasp force estimation, offering an alternative to traditional sensor integration at the surgical instrument tip—a breakthrough that promises to improve tool-tissue interaction safety without compromising instrument miniaturization. With her contributions, Xin is helping to bridge the gap between robotic precision and the nuanced sense of touch essential for delicate procedures. Her work is foundational for students and engineers seeking to enhance haptic feedback in next-generation surgical platforms.

Research Focus

Key Achievements

2
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Design and analysis of a haptic master manipulator for minimally invasive surgery
13 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Shenzhen Institutes of Advanced Technology, Harbin Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago