Papers

3

Total Citations

37

H-Index

3

About

Sabine Letellier-Zarshenas is a pioneering researcher in affective computing and human-robot interaction, with a focus on endowing robotic systems with emotional intelligence. Her work centers on developing computational architectures that enable robots to perceive, express, and respond to emotions, bridging the gap between psychological theories of emotion and practical robotic applications. Her most influential contribution is the GRACE (Generic Robotic Architecture to Create Emotions) framework, which has garnered 21 citations and established a foundational approach for integrating emotion and personality into robotic behavior. In her comparative study of recent emotion architectures (13 citations), she synthesized insights from computational models and classical hybrid robotics, merging them with psychological research to create a generic model that can be adapted across different robotic platforms. Her ongoing work on the EmotiRob project explores how speech can be leveraged for emotional interaction, demonstrating the practical application of her theoretical frameworks. With a career spanning over a decade, Letellier-Zarshenas continues to shape how robots can engage with humans on an emotional level, making her research essential reading for anyone interested in the intersection of artificial intelligence, psychology, and robotics.

Research Focus

Key Achievements

3
H-Index
3
Papers
37
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
GRACE – GENERIC ROBOTIC ARCHITECTURE TO CREATE EMOTIONS
21 citations · 2008
📈 Most Prolific Year: 2008 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Laboratoire Lorrain de Recherche en Informatique et ses Applications, Université de Bretagne Sud

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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