Steeves Bouchard

Papers

1

Total Citations

12

H-Index

1

About

Dr. Steeves Bouchard is a leading researcher in robotics and non-destructive testing (NDT), with a focus on automating critical inspection processes for the aerospace industry. His most-cited work, "Multi-Robot System for Automated Fluorescent Penetrant Indication Inspection with Deep Neural Nets" (2021, 12 citations), addresses a long-standing challenge: fluorescent penetrant inspection (FPI), a widely used NDT method, remains a manual, labor-intensive visual process. Dr. Bouchard’s major contribution lies in integrating multi-robot systems with deep neural networks to automate the detection of relevant indications—distinguishing actual defects from false positives—thereby enhancing both speed and reliability. This work has significant implications for improving safety and efficiency in aerospace manufacturing and maintenance. By bridging robotics and artificial intelligence, Dr. Bouchard is pioneering next-generation inspection technologies that reduce human error and operational costs. His research continues to shape the future of automated quality assurance, making him a key figure in the convergence of robotics, computer vision, and industrial NDT.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Multi-Robot System for Automated Fluorescent Penetrant Indication Inspection with Deep Neural Nets
12 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 10

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago