Luca Garello
Papers
6
Total Citations
21
H-Index
3
About
Luca Garello is a robotics and artificial intelligence researcher whose work sits at the intersection of Human-Robot Interaction (HRI), social cognition, and machine learning. With a growing body of work accumulating over 20 citations, Garello has made meaningful contributions to understanding how robots can engage more naturally and effectively with humans across diverse real-world settings. His research explores how robot personality traits — such as agreeableness — shape user engagement during verbal interactions, and how robots of different embodiments can expressively communicate object properties during collaborative manipulation tasks. Garello has also advanced imitation learning by tackling the challenging perspective mismatch between demonstrator and imitator using Generative Adversarial Networks, pushing robots closer to human-like observational learning. More recently, his work has embraced the transformative potential of Large Language Models, developing adaptive tutoring architectures that overcome memory and contextual limitations to enable richer social reasoning. His studies of autonomous museum guide robots further highlight his interest in human-centered deployment of social agents in cultural contexts. Underpinning much of this is a commitment to cognitive architectures that allow robots to perceive, learn, and adapt continuously — a vision of machines that are not merely functional, but genuinely socially aware.
Research Focus
Key Achievements
Top Papers
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