Andrea Vegnaduzzo

University of Udine

Papers

1

Total Citations

2

H-Index

1

About

Andrea Vegnaduzzo is a researcher whose work sits at the intersection of robotics, control systems, and advanced trajectory planning. Their primary research focus is on developing precise, singularity-free motion strategies for industrial robotic applications, with a particular emphasis on spray-painting automation. Vegnaduzzo’s most notable contribution is a pioneering method for planning smooth orientation trajectories using B-spline quaternion curves, which elegantly avoids the singularities and discontinuities inherent in traditional Euler angle representations. This approach ensures continuous velocity and acceleration profiles, directly addressing a critical bottleneck in robotic painting—where complex, curved surfaces demand flawless tool orientation. The 2025 paper detailing this work has already garnered 2 citations, signaling its immediate relevance to both academia and industry. By solving a long-standing problem in robotic path planning, Vegnaduzzo’s research not only enhances the quality and efficiency of automated painting but also provides a robust framework that can be extended to other applications requiring smooth rotational motion, such as machining or inspection. Their work stands as a valuable resource for students and engineers seeking to push the boundaries of robotic dexterity and precision.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
An approach based on B-spline quaternion curves for planning the orientation trajectories of spray-painting robots
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Udine

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago