Damiano Oriti

Politecnico di Torino

Papers

1

Total Citations

4

H-Index

1

About

Damiano Oriti is a researcher at the intersection of human-robot interaction and augmented reality (AR), with a focus on making robot programming more intuitive and accessible. His most cited work, "Assessing the Effectiveness of Augmented Reality Handheld Interfaces for Robot Path Programming" (2022), has garnered four citations, marking a foundational contribution to the field. In this study, Oriti investigates how AR handheld interfaces can simplify the complex task of robot path programming, enabling users to visualize and manipulate robotic trajectories in real-world environments without extensive technical expertise. His research addresses a critical bottleneck in industrial and collaborative robotics: the need for user-friendly programming tools that reduce setup time and lower barriers for non-specialists. By demonstrating that AR interfaces can improve task efficiency and accuracy compared to traditional methods, Oriti’s work paves the way for more widespread adoption of robotics in small and medium enterprises. His contributions are particularly notable for bridging the gap between advanced AR technology and practical robotic applications, offering a scalable solution that enhances human-robot collaboration. As the field evolves, Oriti’s insights into interface design and user experience remain central to developing next-generation programming tools.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Assessing the Effectiveness of Augmented Reality Handheld Interfaces for Robot Path Programming
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Politecnico di Torino

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago