Papers

2

Total Citations

23

H-Index

2

About

Peiyu Luo is at the forefront of continuum robotics, a field revolutionizing minimally invasive surgery and hazardous environment exploration. His research centers on developing intelligent motion planning and navigation frameworks for these highly flexible, infinite-degree-of-freedom systems. Luo’s major contributions include the creation of an efficient RRT*-based safety-constrained motion planner that enables continuum robots to navigate dynamic environments with unprecedented reliability—a work that has already garnered 14 citations since 2024. He further advanced the field with a Fast-Adaptive Permanent Magnetic Positioning-based navigation framework, published in 2025, which achieved 9 citations by solving the critical challenge of real-time localization for colonoscopic biopsy procedures. This work demonstrates his ability to bridge theoretical algorithms with pressing clinical needs. By tackling the core complexities of continuum robot control—from safety constraints to adaptive magnetic tracking—Luo is establishing himself as a rising innovator in medical robotics, with his research directly impacting the future of autonomous surgical navigation and patient outcomes.

Research Focus

Key Achievements

2
H-Index
2
Papers
23
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Efficient RRT*-based Safety-Constrained Motion Planning for Continuum Robots in Dynamic Environments
14 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Southern University of Science and Technology, Shenzhen Academy of Robotics

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago