Papers

2

Total Citations

32

H-Index

2

About

Guojun He is a leading researcher in multi-robot systems and edge intelligence, with a focus on enabling robust, real-time collaboration in complex and unpredictable environments. His work addresses critical challenges in heterogeneous multi-robot networks, where diverse robots must communicate and coordinate under harsh conditions. He has made significant contributions by developing hybrid frameworks that integrate edge intelligence to enhance decision-making and communication efficiency, ensuring high-quality collaboration even with limited resources. His research on discrete-time flocking control tackles the instability caused by random link failures in ad hoc networks, proposing novel control models that maintain swarm cohesion despite unreliable wireless communications. With over 16 citations for his key papers, He’s work is highly regarded for its practical implications in disaster response, exploration, and autonomous systems. Notably, his 2022 paper on edge intelligence for heterogeneous networks provides a comprehensive solution to communication issues, while his 2024 study on flocking control under link failures advances the theoretical foundations of multi-robot stability. He continues to push the boundaries of autonomous swarm intelligence, making his research essential for students and engineers working on next-generation robotic networks.

Research Focus

Key Achievements

2
H-Index
2
Papers
32
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Edge Intelligence Enabled Heterogeneous Multi-Robot Networks: Hybrid Framework, Communication Issues, and Potential Solutions
16 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago