Antoine Hiolle
Papers
21
Total Citations
463
H-Index
12
About
Antoine Hiolle is a researcher whose work sits at the intersection of social robotics, human-robot interaction, and developmental psychology. His research focuses primarily on how robots can express and interpret emotions through body language, how attachment-like dynamics emerge in human-robot relationships, and how social robots can benefit children — particularly those with Autism Spectrum Disorders (ASD). Among his most influential contributions is his work on emotional body language in humanoid robots, particularly the NAO platform, which has garnered over 60 citations and helped establish foundational principles for non-facial emotional expression in robots. His 2015 paper on sustaining long-term child-robot interaction through multi-activity switching — his most cited work with 101 citations — addresses a critical challenge in deploying robots for therapeutic and educational purposes. His research on attachment-inspired robot behavior, drawing on developmental psychology to model arousal regulation and caregiver-seeking in robots, demonstrates a uniquely interdisciplinary approach. Hiolle has also made meaningful practical contributions through pilot studies exploring how children with autism engage with humanoid robots for emotion recognition training. With a cumulative citation count approaching 400, his work has meaningfully shaped how researchers and practitioners think about affective, long-term, and therapeutically purposeful child-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 3Interpretation of emotional body language displayed by robots61 citations · 2010
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- 7An Event-Based Conversational System for the Nao Robot16 citations · 2011
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- 9Using Perlin Noise to Generate Emotional Expressions in a Robot14 citations · 2013
- 10Assessing human reactions to different robot attachment profiles14 citations · 2009