Henrique Siqueira
Papers
3
Total Citations
72
H-Index
3
About
Henrique Siqueira is a leading researcher in social robotics and affective computing, whose work bridges the gap between machine perception and human-like interaction. His primary research areas include personality modeling for robots, continual learning for emotion recognition, and affective stimulus disambiguation. Siqueira’s most impactful contribution, the 2020 paper "Do I Have a Personality? Endowing Care Robots with Context-Dependent Personality Traits" (52 citations), pioneers the integration of context-dependent verbal and non-verbal cues into robotic systems, significantly enhancing interaction quality by making robots socially intelligent. He further advances the field with his 2018 work on an ensemble-based convolutional network for continually learning facial expressions (12 citations), enabling robots to progressively improve emotion recognition through semi-supervised learning—a critical step toward adaptive human-robot interaction. Additionally, his research on disambiguating affective stimulus associations (8 citations) provides robots with the ability to implicitly understand how humans experience actions and objects, fostering more natural dialogue and positive interactions. Siqueira’s work is foundational for developing care robots that are not only perceptive but also contextually responsive, marking him as a key innovator in creating emotionally intelligent autonomous systems.
Research Focus
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Top Papers
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