Juyong Cui

Papers

1

Total Citations

2

H-Index

1

About

Juyong Cui is a researcher specializing in robotics and intelligent control systems, with a particular focus on safety-critical applications in hazardous environments. His key research areas include real-time obstacle avoidance, autonomous navigation, and the design of specialized robotic platforms for infrastructure maintenance and emergency response. Cui's most notable contribution is his work on the "Design of Real-time Obstacle Avoidance Control System for Power Tunnel Fire-fighting Robots" (2020), which addresses the critical challenge of enabling firefighting robots to navigate the confined, complex, and high-risk environment of power tunnels. This study systematically analyzes the shortcomings of existing obstacle avoidance methods—specifically poor response times and effectiveness—and proposes an improved control architecture to enhance robot agility and reliability during fire rescue operations. While his citation count is currently modest, Cui's work is directly relevant to the growing demand for automated solutions in underground utility safety. His research bridges the gap between theoretical control algorithms and practical deployment, offering a foundation for future advancements in autonomous emergency response systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Design of Real-time Obstacle Avoidance Control System for Power Tunnel Fire-fighting Robots
2 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago