Zezhi Sui

Beijing Academy of Artificial Intelligence

Papers

1

Total Citations

4

H-Index

1

About

Zezhi Sui is a robotics researcher whose work focuses on advancing multi-robot coordination and formation control in complex, dynamic environments. His most cited paper, "A Hybrid Formation Control Design for Multi-Robot System with Obstacle Avoidance" (2019), tackles the critical challenge of enabling robot teams to maintain stable formations while autonomously navigating around obstacles—a problem that few studies had addressed simultaneously at the time. By proposing a leader-follower hybrid control framework, Sui’s approach integrates velocity estimation with real-time obstacle avoidance, offering a practical solution for real-world applications such as search-and-rescue, warehouse automation, and environmental monitoring. Though his citation count is still growing, the work has been recognized for addressing a key gap in multi-robot systems literature, laying groundwork for more resilient and adaptive swarm behaviors. Sui’s research stands out for its emphasis on bridging theoretical control design with practical implementation challenges, making it particularly valuable for students and engineers working on autonomous multi-agent systems. His contributions continue to inspire further exploration into robust, decentralized coordination strategies for robots operating in unpredictable settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A Hybrid Formation Control Design for Multi-Robot System with Obstacle Avoidance
4 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Beijing Academy of Artificial Intelligence

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago