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An Open-World Simulated Environment for Developmental Robotics

2020-07-18 01:16:13
SM Mazharul Islam, Md Ashaduzzaman Rubel Mondol, Aishwarya Pothula, Deokgun Park
arXiv_AI
     
Abstract

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.

Abstract (translated)

URL

https://arxiv.org/abs/2007.09300

PDF

https://arxiv.org/pdf/2007.09300.pdf

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