A comprehensive overview of an interdisciplinary approach to robotics that takes direct
inspiration from the developmental and learning phenomena observed in children's …

This paper surveys value systems for developmental cognitive robotics. A value system
permits a biological brain to increase the likelihood of neural responses to selected external …

A number of leading cognitive architectures that are inspired by the human brain, at various
levels of granularity, are reviewed and compared, with special attention paid to the way their …

Open-ended exploration and learning in the real world is a major challenge of
developmental robotics. Three properties of real-world sensorimotor spaces provide …

In this paper, we review current knowledge on tool use development in infants in order to
provide relevant information to cognitive developmental roboticists seeking to design …

This article introduces the strategic student metaphor: a student has to learn a number of
topics (or tasks) to maximize its mean score, and has to choose strategically how to allocate …

One of the major stumbling blocks for artificial intelligence remains the commonsense
knowledge problem. It is not clear how we could go about building a program which has all …

In living beings, the natural development of the body has been shown to facilitate learning.
The application of these natural developmental principles in robotics have been considered …

Humans and animals undergo morphological development (MD) processes from infancy to
adulthood that have been shown to facilitate learning. However, most of the work on …

Early infancy is a time of remarkable sensorimotor learning and rapid cognitive growth. Such
development offers a rich source of inspiration for models that might allow robotic systems to …