Papers

1

Total Citations

3

H-Index

1

About

Andrei-Nick Ivanescu’s research lies at the intersection of computer vision, robotic perception, and industrial automation. His most cited work, “Integrated Vision Tools and Signature Analysis for Part Measurement and Recognition in Robotic Tasks” (2005), introduced a novel framework combining signature-based feature extraction with real-time vision processing to enable robots to identify, measure, and manipulate parts with high precision. This contribution advanced the practical deployment of vision-guided robotics in manufacturing, particularly for tasks requiring robust object recognition under varying conditions. While his citation count is modest—3 citations for this paper—the work reflects a focused, early effort to bridge theoretical vision algorithms with tangible robotic applications. Ivanescu’s approach, which integrated multiple vision tools into a cohesive system, anticipated later developments in sensor fusion and industrial machine vision. His research underscores the importance of signature analysis as a computationally efficient method for part classification, offering a foundation for subsequent work in automated quality control and assembly. For students and researchers exploring vision-based robotics, Ivanescu’s paper remains a concise example of how targeted algorithmic design can solve real-world recognition challenges.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
INTEGRATED VISION TOOLS AND SIGNATURE ANALYSIS FOR PART MEASUREMENT AND RECOGNITION IN ROBOTIC TASKS
3 citations · 2005
📈 Most Prolific Year: 2005 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Universitatea Națională de Știință și Tehnologie Politehnica București

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago