Papers

3

Total Citations

41

H-Index

3

About

Matteo Confalonieri is a leading researcher in collaborative robotics and human-robot interaction, with a focus on lowering the barriers to industrial automation. His work centers on making advanced robotics accessible through affordable, user-friendly systems that integrate seamlessly into real-world production environments. Confalonieri’s most cited paper, "Collaborative Robotics: A Survey From Literature and Practitioners Perspectives" (2024, 21 citations), provides a comprehensive analysis of the gap between academic research and industry needs, offering a roadmap for practical deployment. He is also the creator of Mirrorlabs (2020, 14 citations), an open-source framework that uses Mixed Reality to build digital twins of robotic work cells, enabling intuitive visualization and simulation of production data. More recently, his "A Smart Work Cell to Reduce Adoption Barriers of Collaborative Robotics" (2023, 6 citations) introduces a modular, plug-and-play system designed to help small and medium enterprises integrate cobots without extensive expertise. Confalonieri’s contributions are notable for bridging theory and practice, with his work cited for its direct impact on democratizing robotics and accelerating Industry 4.0 adoption.

Research Focus

Key Achievements

3
H-Index
3
Papers
41
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Collaborative Robotics: A Survey From Literature and Practitioners Perspectives
21 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: University of Applied Sciences and Arts of Southern Switzerland

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago