Giulio Campagna
Papers
9
Total Citations
93
H-Index
4
About
Giulio Campagna is an emerging researcher specializing in human-robot interaction (HRI), with a particular focus on trust assessment and promotion in collaborative robotic systems across industrial and social settings. His work sits at the intersection of robotics, human factors, and machine learning, addressing one of the most pressing challenges of the Industry 5.0 era: building meaningful, safe, and trustworthy partnerships between humans and robots. Campagna's most influential contribution is a systematic review of trust assessments in HRI (2024, 39 citations), which has rapidly become a key reference in the field. Complementing this, he has pioneered data-driven and optimization-based frameworks for quantifying and promoting trust, leveraging multimodal signals including electrodermal activity, EEG, facial features, body motion, and behavioral indicators. His work on Preference-Based Optimization for tuning interaction parameters such as robot velocity and proximity (21 citations) demonstrates a practical, human-centric approach to designing safer collaborative environments. What distinguishes Campagna's research is its breadth of methodology combined with consistent real-world applicability. From biosignal analysis to gesture-controlled robot trajectories, his contributions collectively advance a nuanced understanding of how trust forms and can be actively cultivated in human-robot collaboration, making him a notable voice in shaping the future of intelligent, human-centered automation.
Research Focus
Key Achievements
Top Papers
- 1A Systematic Review of Trust Assessments in Human–Robot Interaction39 citations · 2024
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- 7Trust Assessment with EEG Signals in Social Human-Robot Interaction4 citations · 2023
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