Papers
4
Total Citations
53
H-Index
2
About
Jiun-Yi Li’s research bridges the critical intersection of robotics and healthcare, with a career that has evolved from multi-robot perception to large-scale surgical outcomes analysis. In his early work, Li pioneered multi-robot cooperation for human tracking using Laser Range Finders, developing a hybrid leg-detection approach that enabled teams of robots to reliably identify and follow people in indoor environments—a foundational contribution to human-robot interaction and service robotics. This work, cited 41 times, established his expertise in human-oriented navigation, where he proposed novel schemes for robots to maneuver safely and socially in crowded home settings, prioritizing collision avoidance and human comfort. More recently, Li has applied his robotics insight to the medical domain, leading population-based studies using Taiwan’s National Health Insurance Research Database. His 2025 study comparing robot-assisted, laparoscopic, and open radical prostatectomy—analyzing over 80,000 patients—demonstrated that robotic surgery offers superior perioperative outcomes and survival rates. A companion study on mitral valve replacement showed robotic-assisted sternotomy reduced complications and healthcare costs. With over 50 combined citations, Li’s work provides critical, real-world evidence that robotic surgery improves patient outcomes, making him a key figure in translating engineering innovation into clinical practice.
Research Focus
Key Achievements
Top Papers
- 1Multi-robot cooperation based human tracking system using Laser Range Finder41 citations · 2011
- 2Human-oriented navigation for service providing in home environment10 citations · 2010
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