Chuang Cui

Northeast Forestry University

Papers

1

Total Citations

6

H-Index

1

About

Chuang Cui is a researcher whose work centers on robotics and intelligent path planning, with a particular focus on wall-climbing robots for infrastructure inspection. His most notable contribution, a 2024 study on path planning for wall-climbing robots using an improved sparrow search algorithm, addresses a critical gap in the field: traditional algorithms prioritize path length over energy efficiency, which is essential for robots operating on vertical surfaces like bridges. By integrating logistic–tent chaotic mapping and differential evolution, Cui’s approach enhances both search accuracy and energy conservation, offering a practical solution for real-world bridge inspection tasks. With 6 citations since its publication, this work has quickly gained attention for its innovative blend of bio-inspired optimization and robotic application. Cui’s research stands out for its direct impact on reducing operational costs and improving the autonomy of inspection robots, making him a promising voice in the intersection of robotics, optimization algorithms, and civil infrastructure maintenance.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Path Planning for Wall-Climbing Robots Using an Improved Sparrow Search Algorithm
6 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Northeast Forestry University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago