Modeling social interaction for baby in simulated environment for developmental robotics


As the current trend of artificial intelligence is shifting towards self-supervised learning, conventional norms such as highly curated domain-specific data, application-specific learning models, extrinsic reward based learning policies etc. might not provide with the suitable ground for such developments. In this paper, we introduce SEDRo, a Simulated Environment for Developmental Robotics which allows a learning agent to have similar experiences that a human infant goes through from the fetus stage up to 12 months. A series of simulated tests based on developmental psychology will be used to evaluate the progress of a learning model.

Learning in Artificial Worlds at ICML 2020 Workshop

Screenshots from SEDRo environments. (a) Fetus environment. Almost dark space with no visual capability of the baby. (b) After birth house environment with a Mother character and some other toys. © Mother is feeding the baby. (d) Mother is showing a toy to the baby