  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.
