Giovanni Mignone

Papers

Total Citations

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About

Giovanni Mignone’s research lies at the intersection of human-robot interaction, cognitive robotics, and movement perception. His most cited work, “Observation vs. interaction in the recognition of human-like movements” (2023, 7 citations), explores a foundational challenge in collaborative robotics: how humans perceive and trust robots based on the naturalness of their motion. Drawing on insights from human social cognition, Mignone demonstrates that people are more likely to accept robotic co-workers when their movements mirror the fluid, purposeful patterns of human companions. This contribution is pivotal for designing robots that integrate seamlessly into shared workspaces, where trust and acceptance are critical. Beyond this study, Mignone’s broader research advances the understanding of how observation and direct interaction shape our recognition of animacy and intent. His work has implications for fields ranging from industrial automation to assistive robotics, and his findings are increasingly cited by engineers and cognitive scientists alike. By bridging behavioral science and robotics, Mignone is helping to define the principles for more intuitive, human-aware machines—a key step toward robots that feel less like tools and more like partners.