Marco Panato

University of Verona

Papers

5

Total Citations

55

H-Index

4

About

Marco Panato’s research sits at the intersection of robotics, edge-cloud computing, and Industry 4.0/5.0, where he develops practical frameworks to make autonomous systems more modular, secure, and deployable. His most influential work introduces a container-based design methodology using Docker and Kubernetes to manage ROS-based robotic applications on edge-cloud architectures—a contribution that has garnered over 40 citations across his top papers. This approach directly addresses the growing complexity of integrating AI, cognition, and human-robot interaction into modern robotic platforms. Panato also advances production process validation through formalization and digital twin generation, helping manufacturers avoid costly errors. His work extends to embedded vision, where he co-developed a design and simulation framework combining OpenVX and ROS for customizable computer vision on heterogeneous hardware. More recently, he has focused on enhancing safety and privacy in smart manufacturing environments, exemplified by the ICE Laboratory case study. Panato’s contributions are especially relevant as the industry shifts toward Industry 5.0, where human-centric, autonomous collaboration is paramount. His research provides the architectural backbone for the next generation of intelligent, cloud-connected robotic systems.

Research Focus

Key Achievements

4
H-Index
5
Papers
55
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
A Container-based Design Methodology for Robotic Applications on Kubernetes Edge-Cloud architectures
22 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 39
🏛 Institutions: University of Verona

Top Papers

  1. 1
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  5. 5

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago