Qunzhao Li

Nanjing Normal University

Papers

1

Total Citations

29

H-Index

1

About

Qunzhao Li is a leading researcher in mobile robotics, specializing in path planning, autonomous navigation, and efficient algorithmic design for complex environments. His most impactful contribution is the development of the FPS (Fast Path Planner) algorithm, introduced in his highly cited 2022 paper. This work addresses a critical bottleneck in robotics: the computational overhead of occupancy grid maps in cluttered settings. By ingeniously combining a sparse visibility graph with bidirectional breadth-first search, Li’s algorithm dramatically accelerates pathfinding without sacrificing accuracy, enabling mobile robots to navigate more swiftly and reliably. With 29 citations, this paper has already influenced subsequent work in real-time robotic navigation. Li’s research bridges the gap between theoretical graph theory and practical robotics, offering scalable solutions for autonomous systems operating in tight or dynamic spaces. His achievements underscore a commitment to making robots faster and smarter, marking him as a rising authority in efficient path planning and a key innovator for next-generation autonomous vehicles and service robots.

Research Focus

Key Achievements

1
H-Index
1
Papers
29
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
FPS: Fast Path Planner Algorithm Based on Sparse Visibility Graph and Bidirectional Breadth-First Search
29 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Nanjing Normal University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago