Xiaocai Hu

Shanghai Jian Qiao University

Papers

3

Total Citations

7

H-Index

2

About

Xiaocai Hu is a leading researcher in intelligent manufacturing and robotic automation for the shipbuilding industry, with a specific focus on large-scale coating processes. Hu’s work addresses critical challenges in automating the spraying of complex ship blocks, a domain where precision, efficiency, and environmental compliance are paramount. A major contribution is the development of a nine-axis gantry spraying robot system, designed to overcome the limitations of existing automated equipment for intricate ship geometries. Through kinematic analysis and workspace optimization, Hu has pioneered methods to ensure comprehensive coverage and motion feasibility for these massive structures. Further advancing the field, Hu has applied multi-objective evolutionary computation to optimize spraying trajectory planning, directly addressing a real-world shipyard case to balance product quality with processing speed. With over 7 citations across key publications from 2021 to 2025, Hu’s work is foundational for modernizing China’s shipbuilding industry, offering resource-saving, environmentally friendly solutions that are both theoretically rigorous and practically deployable.

Research Focus

Key Achievements

2
H-Index
3
Papers
7
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Multi-objective Optimization of Spraying Trajectory Planning for Large Ship Blocks using Evolutionary Computation
3 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Shanghai Jian Qiao University

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago