Papers
37
Total Citations
352
H-Index
11
About
Agnese Augello is an Italian researcher whose work sits at a rich intersection of cognitive architectures, social robotics, and computational creativity. Her research explores how humanoid robots can engage in sophisticated human-like behaviors — from expressive dancing to emotionally nuanced storytelling — drawing on cognitive frameworks such as ACT-R to model reasoning, persuasion, and ethical decision-making. Among her most influential contributions is her development of storytelling robots capable of adopting persuasive techniques and ethical stances, with one notable system applied to COVID-19 communication contexts, garnering 25 citations. Her early work on binding emotional and color representations for computational creativity (2013, 23 citations) laid important groundwork for subsequent studies on AI-generated artwork and cognitive dual-process models. Augello has also made meaningful contributions to applied robotics in healthcare, examining how social robots can improve therapeutic adherence in pediatric asthma patients. Her research on dancing robots — spanning learning by demonstration, interactive genetic algorithms, and live performance — reflects a commitment to embodied creativity. As a co-editor of work on robot-assisted education, she has helped shape a growing field with broad implications for how intelligent robots can meaningfully support human learning and well-being.
Research Focus
Key Achievements
Top Papers
- 1Creation and cognition for humanoid live dancing27 citations · 2016
- 2
- 3
- 4Binding representational spaces of colors and emotions for creativity23 citations · 2013
- 5
- 6An ACT-R Based Humanoid Social Robot to Manage Storytelling Activities19 citations · 2020
- 7
- 8
- 9Exploiting interactive genetic algorithms for creative humanoid dancing15 citations · 2016
- 10Editorial: Robot-Assisted Learning and Education13 citations · 2020