Zhiqiang Chao

Air Force Engineering University

Papers

1

Total Citations

8

H-Index

1

About

Zhiqiang Chao is a researcher specializing in robotics, intelligent manufacturing, and precision measurement, with a particular focus on automated spraying systems and path planning algorithms. His most-cited work, "Research on the Algorithm of Measurement Path Planning for Inner Wall of Air-Intake Pipe Based on Spraying Robot System" (2017, 8 citations), addresses critical challenges in industrial automation by integrating laser displacement sensor technology with robotic systems. Chao’s key contribution lies in developing a scanning measurement path planning algorithm that enables accurate model construction and efficient spraying over complex inner-wall geometries, such as those found in air-intake pipes. This work has practical implications for improving coating uniformity, reducing material waste, and enhancing quality control in manufacturing processes. Though his citation count is modest, Chao’s research represents a foundational step in bridging sensor-based measurement with robotic automation, offering valuable insights for engineers and researchers working on surface treatment and industrial robotics. His focus on solving real-world manufacturing problems underscores his commitment to advancing applied robotics in production environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Research on the Algorithm of Measurement Path Planning for Inner Wall of Air-Intake Pipe Based on Spraying Robot System
8 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Air Force Engineering University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago