A key challenge in intelligent robotics is creating robots that are capable of directly
interacting with the world around them to achieve their goals. The last decade has seen …

Reinforcement learning offers to robotics a framework and set of tools for the design of
sophisticated and hard-to-engineer behaviors. Conversely, the challenges of robotic …

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

We introduce the Self-Adaptive Goal Generation Robust Intelligent Adaptive Curiosity
(SAGG-RIAC) architecture as an intrinsically motivated goal exploration mechanism which …

Exploratory activities seem to be intrinsically rewarding for children and crucial for their
cognitive development. Can a machine be endowed with such an intrinsic motivation …

Intrinsic motivation, the causal mechanism for spontaneous exploration and curiosity, is a
central concept in developmental psychology. It has been argued to be a crucial mechanism …

Humans and other animals often engage in activities for their own sakes rather than as steps
toward solving practical problems. Psychologists call these intrinsically motivated behaviors …

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 …

Intrinsic motivation is a crucial mechanism for open-ended cognitive development since it is
the driver of spontaneous exploration and curiosity. Yet, it has so far only been …

In this paper, we present goal-discovering robotic architecture for intrisically-motivated
learning (GRAIL), a four-level architecture that is able to autonomously: 1) discover changes …