Sijie Yang

Beihang University

Papers

1

Total Citations

6

H-Index

1

About

Dr. Sijie Yang is a leading researcher in swarm robotics, with a particular focus on bio-inspired coordination and autonomous systems. His most impactful work addresses a critical challenge in the field: enabling effective multi-robot cooperation in communication-denied environments. In his highly cited 2023 paper, "Swarm Robotics Search and Rescue: A Bee-Inspired Swarm Cooperation Approach without Information Exchange," Dr. Yang introduced a novel framework that draws inspiration from the decentralized decision-making of honeybee swarms. This approach allows robots to perform complex search and rescue missions without relying on inter-robot communication, significantly enhancing system robustness and scalability. By eliminating the need for information exchange, his work overcomes a major bottleneck in real-world deployment, where network failures are common. With over 6 citations since its publication, this paper has quickly become a cornerstone reference for researchers tackling communication constraints in multi-agent systems. Dr. Yang’s contributions are paving the way for more resilient and practical swarm applications in disaster response, environmental monitoring, and beyond.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Swarm Robotics Search and Rescue: A Bee-Inspired Swarm Cooperation Approach without Information Exchange
6 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Beihang University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago