A concise introduction to a complex field, bringing together recent work in cognitive science
and cognitive robotics to offer a solid grounding on key issues. This book offers a concise …

We consider the problem of constructing a symbolic description of a continuous, low-level
environment for use in planning. We show that symbols that can represent the preconditions …

Inspired by the extraordinary ability of young infants to learn how to grasp and manipulate
objects, many works in robotics have proposed developmental approaches to allow robots …

Endowing artificial agents with the ability of predicting the consequences of their own
actions and efficiently planning their behaviors based on such predictions is a fundamental …

This paper addresses the problem of grounding semantic representations in intelligent
service robots. In particular, this work contributes to addressing two important aspects …

We propose a hierarchical action framework which facilitates easy and intuitive robot
instruction, allowing non-experts to instruct and use industrial robots. The framework is …

In this paper, we address the question of generative knowledge construction from
sensorimotor experience, which is acquired by exploration. We show how actions and their …

Humanoid robots that have to operate in cluttered and unstructured environments, such as
man-made and natural disaster scenarios, require sophisticated sensorimotor capabilities. A …

Learning to perform household tasks is a key step towards developing cognitive service
robots. This requires that robots are capable of discovering how to use human-designed …

This paper investigates how centralised, cooperative, multiagent planning problems with
concurrent action constraints and heterogeneous agents can be encoded with some minor …