Papers

3

Total Citations

41

H-Index

2

About

Jiajun Fan is a researcher whose work bridges the critical intersection of robotics, structural health monitoring, and medical surgery. His primary research areas include tactile sensing for underwater inspection, reinforcement learning for robotic planning, and advanced surgical techniques for colorectal cancer. Fan’s most impactful contribution is the development of a novel Tactile Imaging System for autonomous underwater structural damage detection (2019, 25 citations), which aims to replace traditional diver-based visual inspections with robotic efficiency—a key advancement for offshore infrastructure safety. In the medical domain, he has contributed to the latest advances in intersphincteric resection for low rectal cancer (2020, 14 citations), exploring laparoscopic and robotic approaches to improve anal preservation. More recently, Fan has ventured into artificial intelligence, proposing Critic PI2 (2021), a framework that integrates deep actor-critic reinforcement learning with path integral planning for continuous control in robotics. This work addresses the challenge of extending tree-based planning successes from discrete games to real-world robotic applications. With a growing citation record and work spanning engineering, medicine, and AI, Fan exemplifies interdisciplinary innovation, offering practical solutions for autonomous systems and surgical care.

Research Focus

Key Achievements

2
H-Index
3
Papers
41
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Development of Tactile Imaging for Underwater Structural Damage Detection
25 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Southeast University, Zhongda Hospital Southeast University, Nankai University

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago