Stefano Centomo

University of Verona

Papers

2

Total Citations

7

H-Index

2

About

Stefano Centomo is a researcher at the forefront of safe and privacy-preserving human-robot collaboration within Industry 4.0. His work critically addresses the new safety threats and privacy concerns that arise from connected, autonomous manufacturing environments. Centomo’s major contribution lies in shifting the paradigm from reactive collision avoidance to proactive collision prediction. In his highly cited 2022 work, "Process-driven Collision Prediction in Human-Robot Work Environments," he demonstrates how to predict potential collisions long in advance by analyzing robotic arm behavior and workspace occupancy, thereby preventing injuries and production downtime. His 2024 case study, "Enhancing Safety and Privacy in Industry 4.0: The ICE Laboratory," further explores these themes, integrating privacy safeguards into collaborative robotics. With over 7 citations across his key publications, Centomo is establishing himself as a vital voice in making the factories of the future both safer and more respectful of worker privacy. His research is essential reading for anyone developing or deploying collaborative robotic systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Enhancing Safety and Privacy in Industry 4.0: The ICE Laboratory Case Study
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 33
🏛 Institutions: University of Verona

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago