Mar 30, 2020 · The purpose of the present study is to learn emotion expression representations for artificial agents using reward shaping mechanisms.
Abstract—The purpose of the present study is to learn emotion expression representations for artificial agents using reward shaping mechanisms.
Oct 26, 2016 · The purpose of the present study is to learn emotion expression representations for artificial agents using reward shaping mechanisms.
The objective is to teach a robot to respond adequately to the user's perception of emotions and learn how to express different emotions.
(PDF) iCub: Learning Emotion Expressions using Human Reward ...
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The purpose of the present study is to learn emotion expression representations for artificial agents using reward shaping mechanisms.
Apr 14, 2020 · One way to improve how robots communicate with human users is by training them to express basic emotions, such as sadness, happiness, fear and anger.
The purpose of the present study is to learn emotion expression representations for artificial agents using reward shaping mechanisms.
The purpose of the present study is to learn emotion expression representations for artificial agents using reward shaping mechanisms.
Jan 2, 2024 · Results showed that the iCub facial expressions significantly modulated participants motor response. Particularly, the observation of a happy ...
Missing: Reward. | Show results with:Reward.
Learning Empathy-Driven Emotion Expressions using Affective Modulations ... iCub: learning emotion expressions using human reward. N Churamani, F Cruz, S ...