Runzhan Fu

Shantou University

Papers

1

Total Citations

9

H-Index

1

About

Runzhan Fu is a robotics researcher whose work centers on collaborative multi-robot systems, edge computing, and autonomous navigation. Their most-cited paper, "Collaborative Robot Transport System Based on Edge Computing" (2019, 9 citations), introduces a framework that enables heterogeneous robots—such as the mobile robot "StellaX"—to work together with enhanced robustness and efficiency. This system leverages edge computing to reduce latency and improve real-time decision-making, addressing key challenges in applications like manufacturing and search and rescue. Fu’s contributions lie in bridging the gap between theoretical multi-agent coordination and practical deployment, demonstrating how edge-based architectures can support complex, dynamic tasks. While still early in their career, Fu’s work has already drawn attention for its potential to scale collaborative robotics in industrial and emergency settings. Their research continues to explore how distributed intelligence and lightweight computation can make robot teams more adaptive and reliable, marking them as a promising voice in the field of intelligent robotic systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Collaborative Robot Transport System Based on Edge Computing
9 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Shantou University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago