Active Inference Through Energy Minimization in Multimodal Affective Human-Robot Interaction
2021年7月1日·
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0 min read
Takato Horii
Authors
Takato Horii, Yukie Nagai
Abstract
Based on the framework of active inference, we propose an energy-minimization approach to multimodal affective human-robot interaction. The proposed mechanism enables a robot to actively infer and respond to emotional signals.
Type
Publication
Frontiers in Robotics and AI, 8, 684401
Authors
Takato Horii
(he/him)
Associate Professor
Associate Professor at Graduate School of Engineering Science, Osaka University.
Research interests include cognitive developmental robotics, computational modeling
of emotional development, and human-robot interaction.