Mattia Milanese
Papers
2
Total Citations
184
H-Index
2
About
Mattia Milanese is a leading researcher in the rapidly evolving field of human-robot collaboration, with a specific focus on the integration of collaborative robots, or cobots, into modern production systems. His work addresses the critical challenge of balancing automation with human flexibility, a cornerstone of Industry 5.0. Milanese’s most influential contribution, the highly cited 2022 review "Human factors in cobot era" (144 citations), provides a comprehensive analysis of how human factors shape the design and efficiency of hybrid workcells. He further advanced the field by developing the "C-ALB (Collaborative Assembly Line Balancing)" model (2021, 40 citations), a novel task allocation framework that mathematically optimizes the synergy between human workers and cobots to maximize throughput without sacrificing adaptability. By bridging ergonomics, operations research, and robotics, Milanese’s work provides both a theoretical foundation and practical tools for designing safer, more productive collaborative environments. His research is essential reading for engineers and scholars seeking to understand the human-centric future of manufacturing.
Research Focus
Key Achievements
Top Papers
- 1Human factors in cobot era: a review of modern production systems features144 citations · 2022
- 2