Papers

26

Total Citations

837

H-Index

14

About

Xiaoyi Gu is a pioneering researcher at the intersection of soft robotics, surgical robotics, and flexible mechanisms, with a focus on advancing minimally invasive surgery. Their major contributions include the development of stretchable graphene pressure sensors with hierarchical wrinkles for collision-aware surgical robotics (127 citations), and a flexible robot with variable stiffness for transoral robotic surgery (110 citations). Gu has also designed multichannel flexible parallel manipulators for single-port access surgery (81 citations) and novel soft actuators driven by flexible shafts (67 citations). Their work on cable-driven modular reconfigurable graspers (53 citations) and compliant transoral surgical robotic systems (53 citations) demonstrates a commitment to enhancing dexterity, precision, and safety in constrained surgical environments. With over 600 total citations across their top ten papers, Gu’s research has significantly impacted the fields of soft robotics and surgical automation. Notable achievements include the integration of their pressure sensors with surgical robots for cadaveric trials, and a comprehensive survey on transoral robotic mechanisms (60 citations) that highlights distal dexterity, variable stiffness, and triangulation. Gu’s innovative designs—combining soft materials, parallel mechanisms, and reconfigurable joints—are shaping the future of robotic-assisted surgery.

Research Focus

Key Achievements

14
H-Index
26
Papers
837
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
Stretchable Graphene Pressure Sensors with Shar-Pei-like Hierarchical Wrinkles for Collision-Aware Surgical Robotics
127 citations · 2019
📈 Most Prolific Year: 2020 (6 Papers)
🤝 Key Collaborators: 44
🏛 Institutions: National University of Singapore, Chinese University of Hong Kong, Beijing Institute of Technology

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago