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 …

A long-standing goal of AI is to enable robots to plan in the face of uncertain and incomplete
information, and to handle task failure intelligently. This paper shows how to achieve this …

This book addresses the central role played by development in cognition. The focus is on
applying our knowledge of development in natural cognitive systems, specifically human …

Humans can perform a multitude of different actions with their hands (manipulations). In
spite of this, so far there have been only a few attempts to represent manipulation types …

Robots are increasingly capable of performing everyday human activities such as cooking,
cleaning, and doing the laundry. This requires the real-time planning and execution of …

Robots must perform tasks efficiently and reliably while acting under uncertainty. One way to
achieve efficiency is to give the robot commonsense knowledge about the structure of the …

In this paper we present Ontologenius, a semantic knowledge storage and reasoning
framework for autonomous robots. More than a classic ontology software to query a …

From an automated planning perspective the problem of practical mobile robot control in
realistic environments poses many important and contrary challenges. On the one hand, the …

We investigate the problem of learning action effects in STRIPS and ADL planning domains.
Our approach is based on a kernel perceptron learning model, where action and state …

The purpose of this paper is to give a coherent definition and notation for Object–Action
Complexes (in the following called'OACs') within the PACO-PLUS consortium. To further …