Ruochen Liu

National University of Defense Technology

Papers

1

Total Citations

4

H-Index

1

About

Ruochen Liu is a researcher specializing in cooperative navigation and attitude determination for unmanned systems, with a particular focus on swarm intelligence and sensor fusion. Their major contribution lies in developing innovative methods to enhance positioning accuracy in heterogeneous unmanned swarms, where nodes with high-accuracy navigation sensors (HANs) and low-accuracy navigation sensors (LANs) operate collaboratively. In their notable 2023 work, "Attitude Determination for Unmanned Cooperative Navigation Swarm Based on Multivectors in Covisibility Graph," Liu introduced a novel approach using multivectors within a covisibility graph framework to enable LANs to improve their attitude estimation by leveraging shared information from HANs. This work, which has garnered 4 citations, addresses the critical challenge of reducing overall system costs while maintaining reliable navigation performance—a key requirement for scalable swarm deployments. Liu’s research bridges theoretical advances in graph-based sensor fusion with practical applications in autonomous aerial and ground vehicles, offering cost-effective solutions for real-world cooperative missions. Their work is particularly relevant for students and researchers exploring swarm robotics, distributed navigation, and low-cost sensor integration, demonstrating how intelligent information sharing can overcome hardware limitations in multi-agent systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Attitude Determination for Unmanned Cooperative Navigation Swarm Based on Multivectors in Covisibility Graph
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: National University of Defense Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago