Antonello Pellicano
Papers
2
Total Citations
32
H-Index
2
About
Antonello Pellicano investigates the cognitive and social mechanisms underlying human-robot interaction, with a particular focus on how biological sex and anthropomorphic design shape our perception of robotic actions. His research bridges experimental psychology and robotics, exploring how people observe and interpret movements performed by humanoid robots, digital human models, and industrial gantry robots. In his most-cited work, "Gender Effects in Observation of Robotic and Humanoid Actions" (2020, 27 citations), Pellicano demonstrates that observers’ sex influences neural and behavioral responses to robotic versus humanoid motion, highlighting critical factors for designing socially acceptable collaborative robots. His follow-up study (2022) extends these findings, showing that anthropomorphic appearance interacts with observer sex to modulate action perception. These contributions are vital for improving human-robot co-working in healthcare, rehabilitation, and industrial settings. By revealing how gender and embodiment affect trust and acceptance, Pellicano’s work informs the development of more intuitive, user-centered robotic systems. His research is increasingly cited in human-robot interaction and social robotics, underscoring its relevance for engineers and psychologists aiming to optimize collaborative technologies.
Research Focus
Key Achievements
Top Papers
- 1Gender Effects in Observation of Robotic and Humanoid Actions27 citations · 2020
- 2