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.

本文介绍了针对婴儿机器人的模拟环境 SEDRo，并借鉴了发展心理学的实验，以在出生前到出生 12 个月的阶段内提供婴儿机器人与人类婴儿类似的体验，从而促进机器人的发展。

发展机器人的模拟环境中婴幼儿社交互动建模

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.

本文介绍 SEDRo，一个模拟环境用于发展性机器人学习模型的训练，模拟婴儿从胎儿时期到 12 个月的成长进程，以发展心理学测试的形式来评估学习模型的进展。