Modeling Social Interaction for Baby in Simulated Environment for Developmental Robotics
Mondol, Md Ashaduzzaman Rubel, Pothula, Aishwarya, Park, Deokgun
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Dec-29-2020
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- Research Report (0.50)
- Technology:
- Information Technology > Artificial Intelligence
- Robots (1.00)
- Cognitive Science (1.00)
- Representation & Reasoning > Agents (0.55)
- Information Technology > Artificial Intelligence