Task-specific AI agents are showing remarkable performance across different domains. But modeling generalized AI agents like human intelligence will require more than current datasets or only reward-based environments that don't include experiences that an infant gathers throughout its initial stages. In this paper, we present Simulated Environment for Developmental Robotics (SEDRo). It simulates the environments for a baby agent that a human baby experiences throughout the pre-born fetus stage to post-birth 12 months. SEDRo also includes a mother character to provide social interaction with the agent. To evaluate different developmental milestones of the agent, SEDRo incorporates some experiments from developmental psychology.
Cite
@article{arxiv.2012.14842,
title = {Modeling Social Interaction for Baby in Simulated Environment for Developmental Robotics},
author = {Md Ashaduzzaman Rubel Mondol and Aishwarya Pothula and Deokgun Park},
journal= {arXiv preprint arXiv:2012.14842},
year = {2021}
}
Comments
5 pages ( Including 1 page reference), 3 figures, Presented at BabyMind workshop, NIPS 2020