What do we learn about development from baby robots?
Pierre-Yves Oudeyer (INRIA Bordeaux - Sud-Ouest)

TL;DR
This paper discusses how building and experimenting with baby robots can provide systemic insights into infant development, addressing complex interactions across multiple scales that traditional methods struggle to capture.
Contribution
It advocates for the use of developmental robotics and formal models to explore the complex, multi-mechanism interactions involved in infant development, complementing traditional psychological and neuroscientific approaches.
Findings
Robots enable systematic manipulation of body and environment variables.
Mathematical and algorithmic models facilitate detailed hypothesis testing.
Robotics experiments reveal insights into sensorimotor, cognitive, and social development.
Abstract
Understanding infant development is one of the greatest scientific challenges of contemporary science. A large source of difficulty comes from the fact that the development of skills in infants results from the interactions of multiple mechanisms at multiple spatio-temporal scales. The concepts of "innate" or "acquired" are not any more adequate tools for explanations, which call for a shift from reductionist to systemic accounts. To address this challenge, building and experimenting with robots modeling the growing infant brain and body is crucial. Systemic explanations of pattern formation in sensorimotor, cognitive and social development, viewed as a complex dynamical system, require the use of formal models based on mathematics, algorithms and robots. Formulating hypothesis about development using such models, and exploring them through experiments, allows us to consider in detail…
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Taxonomy
TopicsChild and Animal Learning Development · Origins and Evolution of Life · Social Robot Interaction and HRI
