Papers
7
Total Citations
69
H-Index
5
About
Alberto Villalonga is a leading researcher at the intersection of industrial cyber-physical systems (ICPS), condition-based monitoring, and the emerging paradigms of Industry 5.0. His work focuses on transforming manufacturing processes through real-time data analytics, sensor integration, and intelligent automation. Villalonga’s major contributions include developing architectures for condition-based monitoring of CNC machine tools, enabling optimal parametrization and self-reconfiguration. He has also pioneered visual analytics frameworks for cyber-physical systems and explored reinforcement learning for robotic grippers. His recent research advances zero-defect manufacturing through robotic-machine collaboration and introduces edge-computing frameworks for human-robot collaboration that enhance operator well-being. With his most-cited paper (26 citations) on ICPS for condition-based monitoring, Villalonga has established a strong impact in the field. His forward-looking work on pilot lines for Industry 5.0—emphasizing resilience, human-centricity, and sustainability—positions him as a key contributor to the next generation of smart manufacturing, bridging the gap between theoretical frameworks and practical industrial applications.
Research Focus
Key Achievements
Top Papers
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- 3Automation and Robotics Pilot Lines in the Context of Industry 5.08 citations · 2025
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