Papers

6

Total Citations

156

H-Index

5

About

Jianhua Li is a pioneering researcher at the intersection of continuum robotics and medical instrumentation, with a primary focus on advancing minimally invasive surgical technologies. His work centers on three key areas: contact-aided continuum robot modeling, fiber-optic force sensing, and real-time shape estimation for flexible surgical tools. Li's most impactful contribution is his 2020 paper on modeling and task-oriented optimization of contact-aided continuum robots (52 citations), which fundamentally improved steerable catheter ablation efficiency for treating atrial fibrillation. He further advanced surgical robotics through his development of a compact FBG-based triaxial force sensor (35 citations), enabling precise surgical palpation and enhanced safety during robotic-assisted procedures. Li also introduced an innovative shape-sensing method for continuum robots using passive tendon displacement captured by image sensors (28 citations), solving a critical challenge in soft robotics. His recent work on active collision avoidance for multi-segment continuum robots (23 citations) and a robotic system for endometrial regeneration surgery (13 citations) demonstrates his commitment to translating robotic innovations into clinical applications. With over 156 total citations across his most-cited works, Li continues to push boundaries in surgical robotics, particularly in force sensing and autonomous navigation for flexible medical instruments.

Research Focus

Key Achievements

5
H-Index
6
Papers
156
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Modeling and Task-Oriented Optimization of Contact-Aided Continuum Robots
52 citations · 2020
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Shenyang Institute of Automation, Xi'an Jiaotong University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago