Gianluca L’Arco
Papers
3
Total Citations
27
H-Index
3
About
Gianluca L’Arco is a researcher at the forefront of human-robot interaction, with a focus on making robotic systems more intuitive, expressive, and educationally impactful. His work centers on two key areas: transparent interaction design and social robotics for learning environments. L’Arco’s major contributions include pioneering the use of emotional gestures in humanoid robots to enhance communication clarity, as demonstrated in his highly cited 2021 paper (16 citations), which explores how robots can convey intent through affective behaviors. He further advanced this concept with his work on transparent interactive reinforcement learning (5 citations), integrating emotional cues to make machine learning processes more understandable to human users. In the educational domain, L’Arco developed the “ClassMate Robot” (6 citations), a novel social robot designed to support teaching and learning activities beyond STEM, addressing a critical gap in educational robotics. His research has been recognized for its practical applications in schools, where his robots facilitate more natural and effective human-robot collaboration. With a growing citation record, L’Arco is establishing himself as a key voice in creating socially aware, emotionally intelligent robots that bridge the gap between technical systems and human expectations.
Research Focus
Key Achievements
Top Papers
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