Zhongkang Wang

Nanjing University of Aeronautics and Astronautics

Papers

3

Total Citations

44

H-Index

3

About

Dr. Zhongkang Wang is a rising researcher in intelligent manufacturing and human-robot collaboration, with a focus on sensor fusion and precision assembly. His work centers on integrating LiDAR and depth cameras to enhance situational awareness in collaborative environments, as demonstrated in his 2024 paper on information fusion for human-robot collaboration, which has garnered 22 citations. He also contributes to satellite assembly systems through binocular vision methods for precise hole recognition, a 2023 study with 19 citations, addressing critical challenges in aerospace manufacturing. Additionally, Dr. Wang explores dynamics modeling and layout optimization for carbon fiber reinforced polymer (CFRP) machining systems, reflecting his interest in advanced materials processing. While his citation counts are still growing, his research addresses practical, high-stakes applications in automation and space technology, making his work relevant for engineers and researchers in robotics, computer vision, and manufacturing. His achievements highlight a promising trajectory in developing robust, real-time perception systems for complex industrial tasks.

Research Focus

Key Achievements

3
H-Index
3
Papers
44
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
A LiDAR-depth camera information fusion method for human robot collaboration environment
22 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Nanjing University of Aeronautics and Astronautics

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago