Cristina Diliberto
Papers
1
Total Citations
3
H-Index
1
About
Cristina Diliberto is a researcher in human-robot interaction (HRI), with a focus on the cognitive and perceptual dimensions of collaboration between humans and autonomous systems. Her work explores how robots perceive, interpret, and respond to human behavior during real-time interaction, bridging robotics, psychology, and artificial intelligence. In her most-cited paper, "Inside the robot's mind during human-robot interaction" (2019), Diliberto investigates the internal decision-making processes of robots, shedding light on how they model human intentions and adapt their actions accordingly. This contribution is foundational for designing more intuitive and socially aware robotic systems. Though her citation count is still growing, Diliberto’s research is notable for its interdisciplinary approach and its potential to shape future HRI frameworks. Her work is particularly relevant for students and researchers interested in transparent, human-centered AI, and it lays important groundwork for understanding the "black box" of robotic cognition in collaborative settings.
Research Focus
Key Achievements
Top Papers
- 1Inside the robot's mind during human-robot interaction.3 citations · 2019