Papers

4

Total Citations

51

H-Index

4

About

Cheng-Jin Du is a leading researcher in surgical robotics and medical mechatronics, with a focus on developing intelligent sensing and control systems for minimally invasive and orthopedic procedures. His work centers on integrating fiber Bragg grating (FBG) sensors into surgical tools to provide real-time, intuitive force feedback—a critical capability for enhancing precision and safety in robot-assisted surgery. Du’s major contributions include the development of the X-Perce, a universal FBG-based force sensing kit for laparoscopic surgical robots (23 citations), and a PSO-optimized fuzzy reinforcement learning method that makes surgical arms more adaptive and “cleverer” during preoperative setup (17 citations). He has also advanced pelvic fracture reduction surgery by using FBG sensors to monitor force and deformation in traction instruments (7 citations), and designed a medical transportation robot capable of millimeter-level patient positioning between imaging devices (4 citations). Du’s work bridges the gap between tactile sensing, intelligent control, and clinical application, offering practical solutions that improve human-robot interaction and procedural outcomes. His research is widely cited for its innovation in force sensing and autonomous surgical assistance, making him a notable figure in the evolution of smart surgical systems.

Research Focus

Key Achievements

4
H-Index
4
Papers
51
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Development of the X-Perce—A Universal FBG-Based Force Sensing Kit for Laparoscopic Surgical Robot
23 citations · 2022
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Shenzhen Institutes of Advanced Technology, Harbin Institute of Technology, Italian Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago