Lishu Lv

Hunan University of Science and Technology

Papers

3

Total Citations

55

H-Index

3

About

Lishu Lv is a researcher specializing in robotic welding, intelligent manufacturing, and automated grinding systems, with a particular focus on integrating advanced sensing and machine learning technologies into industrial processes. Their most influential work centers on developing laser vision-guided systems for robotic weld seam grinding, a contribution that has garnered 28 citations and represents a significant advancement in automating precision finishing operations. Building on this foundation, Lv has made notable strides in understanding the mechanical behavior of high-strength modulated steel during robotic grinding, with their 2023 study on residual stress modeling and distribution characteristics earning 21 citations — demonstrating the depth of their materials science expertise alongside their robotics knowledge. More recently, Lv has pushed into the realm of intelligent condition monitoring, employing enhanced CNN-GRU deep learning architectures to predict grinding wheel wear in real time, reflecting a forward-thinking approach to smart manufacturing. Collectively, their work bridges mechanical engineering, computer vision, and artificial intelligence, offering practical solutions that improve the reliability, precision, and efficiency of robotic welding and grinding systems in demanding industrial environments.

Research Focus

Key Achievements

3
H-Index
3
Papers
55
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Robot welding seam online grinding system based on laser vision guidance
28 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Hunan University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago