Lidong Chen

National University of Defense Technology

Papers

2

Total Citations

7

H-Index

2

About

Dr. Lidong Chen is a leading researcher in swarm robotics and autonomous systems, with a focus on developing adaptive control models for multi-agent coordination in complex environments. Their major contributions include the creation of tunable, multi-objective rule-based control systems that significantly enhance the adaptability of Unmanned Aerial Vehicle (UAV) swarms operating in confined spaces—a critical advancement for applications in search-and-rescue, infrastructure inspection, and precision agriculture. Dr. Chen’s work on a visual and variational autoencoder (VAE)-based hierarchical indoor localization method has also advanced precise pose estimation for robotics and augmented reality, addressing the scalability challenges of traditional 3D model-based approaches. With over 7 citations across their most-cited papers, their research is gaining traction for its practical impact on real-world autonomous navigation. Dr. Chen’s innovative integration of machine learning with swarm intelligence continues to push the boundaries of what autonomous systems can achieve in dynamic, constrained environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Multi-Objective Rule System Based Control Model with Tunable Parameters for Swarm Robotic Control in Confined Environment
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: National University of Defense Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago