Karim Sehaba

Université Claude Bernard Lyon 1, Sorbonne Université, Université de Lyon

Papers

Total Citations

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About

Karim Sehaba is a leading researcher in human-robot interaction, specializing in adaptive and personalized companion robots. His work centers on endowing robots with the ability to learn from users' feedback, enabling them to adjust their behavior dynamically to individual preferences and contexts. A key contribution is his development of adaptive artificial companions that move beyond static, user-independent models, as demonstrated in his highly cited 2016 paper (29 citations) from the FUI-RoboPopuli project. Sehaba has also advanced the field by integrating emotional models with personality traits into synthetic characters, a foundational concept with 17 citations. His research on interaction traces and user studies (2013, 8 and 2 citations) provides empirical evidence for how robots can personalize their responses over time. By bridging machine learning, affective computing, and robotics, Sehaba’s work has significant implications for entertainment, assistive, and social robotics. His contributions are shaping a future where robots are not just tools, but truly adaptive companions capable of meaningful, individualized engagement.