Peiming Duan

Sun Yat-sen University

Papers

2

Total Citations

8

H-Index

2

About

Peiming Duan is a leading researcher in autonomous robotics, specializing in large-scale 3D exploration and multi-robot communication networks. His work addresses critical challenges in deploying robots under real-world constraints, particularly limited onboard computational resources and memory. Duan’s major contribution includes the development of **Efficient UAV Exploration for Large-Scale 3D Environments Using Low-Memory Map**, which introduces a novel mapping framework that enables drones to autonomously explore vast, unknown spaces without overwhelming onboard memory—a breakthrough for search-and-rescue and industrial inspection. Additionally, his **RELINK** framework provides a real-time, line-of-sight-based deployment strategy for multi-robot teams to maintain robust communication networks between moving clients and a fixed base station, solving a computationally intensive problem with unprecedented speed. Both works have garnered 4 citations each, reflecting their immediate relevance to the field. Duan’s research is distinguished by its practical focus on resource efficiency and real-time performance, making his contributions essential reading for engineers and researchers working on autonomous systems, swarm robotics, and field-deployable communication solutions.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Efficient UAV Exploration for Large-Scale 3D Environments Using Low-Memory Map
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Sun Yat-sen University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago