A Human-Robot Mutual Learning System with Affect-Grounded Language Acquisition and Differential Outcomes Training
This paper presents a human-robot mutual learning system for language acquisition grounded in homeostatic needs. The system uses differential outcomes training (DOT) where the robot provides specific feedback based on…
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