Francesco Millo
Papers
2
Total Citations
19
H-Index
2
About
Francesco Millo investigates the intersection of human cognition and robotic design, focusing on how industrial and collaborative robots affect human workers. His research centers on human-robot collaboration during assembly tasks, where he examines the cognitive effects of collaborative workstation features. Millo’s work reveals that the physical design of robots—such as their morphological features and anthropomorphic characteristics—can significantly influence human perception, trust, and performance. In a notable 2021 study, he explored differences in human likeness between industrial and non-industrial robots, drawing on the Uncanny Valley hypothesis to explain how overly human-like designs can cause discomfort. His most cited paper, with 13 citations, demonstrates the practical implications of his findings for manufacturing environments. By bridging cognitive science and robotics, Millo provides critical insights for designing more effective and psychologically comfortable human-robot workspaces. His contributions are essential for engineers and researchers aiming to optimize collaboration between humans and machines in industry.
Research Focus
Key Achievements
Top Papers
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