AISep 3, 2020

SEDRo: A Simulated Environment for Developmental Robotics

arXiv:2009.01810v12 citations
Originality Synthesis-oriented
AI Analysis

It addresses the problem of enabling human-like learning in robotics for researchers, but it is an incremental step as it focuses on creating a new simulation tool rather than a novel learning method.

The paper introduces SEDRo, a simulated environment for developmental robotics that provides diverse human-like experiences from fetus to 12-month-old stages, aiming to lower costs and facilitate research in this field.

Even with impressive advances in application-specific models, we still lack knowledge about how to build a model that can learn in a human-like way and do multiple tasks. To learn in a human-like way, we need to provide a diverse experience that is comparable to humans. In this paper, we introduce our ongoing effort to build a simulated environment for developmental robotics (SEDRo). SEDRo provides diverse human experiences ranging from those of a fetus to a 12th-month-old. A series of simulated tests based on developmental psychology will be used to evaluate the progress of a learning model. We anticipate SEDRo to lower the cost of entry and facilitate research in the developmental robotics community.

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