Sarah Cosentino
Papers
23
Total Citations
241
H-Index
8
About
Sarah Cosentino is a pioneering researcher at the intersection of social robotics, human-robot interaction, and affective computing. Working primarily within the Waseda University robotics tradition, she has made significant contributions to developing robots capable of understanding and expressing human emotions, with a particular focus on laughter, facial expression analysis, and nonverbal social behaviors. Her landmark survey on quantitative laughter detection (34 citations) established a rigorous computational framework for studying one of humanity's most distinctive social signals, while her work on group emotion recognition strategies (44 citations) pushed the field toward real-world, multi-person interaction scenarios. Cosentino's research extends compellingly into musical robotics, where she has engineered humanoid saxophonists capable of expressive performance and systems that interpret conductor gestures in real time. She has also explored the therapeutic potential of social robots, developing humor-capable humanoids for healthcare applications and rhythm-based feedback systems to support individuals with Autism Spectrum Disorder. With over 190 cumulative citations, her interdisciplinary portfolio bridges engineering, psychology, and the arts, making her a distinctive and influential voice in designing robots that engage authentically with the full complexity of human social life.
Research Focus
Key Achievements
Top Papers
- 1Group emotion recognition strategies for entertainment robots44 citations · 2018
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- 7Human-humanoid robot social interaction: Laughter11 citations · 2013
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