Giovanni Totis

University of Udine

Papers

2

Total Citations

30

H-Index

2

About

Giovanni Totis is a researcher whose work sits at the intersection of robotics, manufacturing, and materials science. His primary contributions lie in developing intelligent automation for artistic and industrial applications, with a particular focus on robotic path planning and the mechanical characterization of advanced structures. His most-cited work, "Automatic path-planning algorithm for realistic decorative robotic painting" (2015, 26 citations), introduces a novel algorithm that enables robots to replicate human-like painting techniques, bridging the gap between computational efficiency and aesthetic quality. This foundational paper has influenced subsequent research in robotic art and precision coating. Totis has also explored the mechanical properties of additively manufactured components, as seen in his 2018 study on SLM lattice structures for robotic applications (4 citations), which provides early insights into the static and dynamic behavior of these lightweight, high-strength materials. Through these efforts, Totis demonstrates a commitment to advancing both the creative and structural capabilities of robotic systems, making his work relevant to engineers and researchers in automation, design, and materials science.

Research Focus

Key Achievements

2
H-Index
2
Papers
30
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Automatic path-planning algorithm for realistic decorative robotic painting
26 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Udine

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago