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Project
Generative deep learning for contingent behaviour production on social robots
Social robots are robots which interact with people in a natural manner. Autonomously generating contingent verbal and nonverbal behaviour is currently impossible. We use generative Deep Learning to observe video recordings of people and learn which behaviours are appropriate for the robot,
with the aim of having the robot produce matching verbal and non-verbal behaviour.
Date:1 Jan 2018 → 31 Dec 2021
Keywords:Human-Robot Interaction, Social robots, machine learning, Deep Learning
Disciplines:Cognitive science and intelligent systems, Computer theory, Design theories and methods, Social psychology, Artificial intelligence, Mechatronics and robotics, Control systems, robotics and automation