Marco Ghidelli

University of Brescia

Papers

1

Total Citations

21

H-Index

1

About

Marco Ghidelli is a leading researcher in industrial robotics and manufacturing automation, with a primary focus on collaborative robot (cobot) calibration and human-robot interaction. His major contributions center on developing and evaluating efficient, user-friendly methods for cobot user frame calibration—a critical process for flexible production lines where robots are frequently repositioned. His most-cited work (2021, 21 citations) provides a comprehensive comparison between traditional calibration techniques and vision-based methods, demonstrating how intuitive approaches can maintain high positioning repeatability while reducing setup time. This research directly addresses industry needs for agile manufacturing, enabling even non-expert operators to quickly reconfigure cobot workspaces. Ghidelli’s work has been recognized for bridging the gap between theoretical robotics and practical shop-floor applications, with his calibration studies informing best practices in automated assembly and quality control. His findings are particularly valuable for small and medium enterprises seeking to implement flexible automation without extensive technical expertise. Through his systematic evaluation of calibration performance metrics, Ghidelli has established benchmarks that continue to guide both academic research and industrial implementation of collaborative robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
21
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Cobot User Frame Calibration: Evaluation and Comparison between Positioning Repeatability Performances Achieved by Traditional and Vision-Based Methods
21 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Brescia

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago