Primary chronic pain is a major contributor to disability worldwide, with an estimated
prevalence of 20–33% of the world's population. The high socio-economic impact of …

Human Factor strategy and management have been affected by the incorporation of Key
Enabling Technologies (KETs) of industry 4.0, whereby operator 4.0 has been configured to …

Deep learning techniques are having an undeniable impact on general pattern recognition
issues. In this paper, from a developmental robotics perspective, we scrutinize deep learning …

Abstract The theory of Enactive Inference was proposed by Karl Friston and his colleagues
to explain how the brain infers knowledge about the world through the subject's interactive …

We discuss the influence upon the fields of robotics and AI of the manner one conceives the
relationships between artificial agents' perception, cognition, and action. We shed some light …

The paper proposes a novel cognitive architecture that combines cognitive computing and
cognitive agent technologies for performing human-like functionality. The system …

Each upsurge of new computational creativity has been cultivated to guide new kinds of
systems, new ways of creating tools, a new form of data, and so on, which have often …

This paper presents a historical perspective on the origin of the enactive approach to
cognitive science, starting chronologically from cybernetics, with the aim of clarifying its main …

This paper investigates how adequate coordination among the different cognitive processes
of a humanoid robot can be developed through end-to-end learning of direct perception of …

We introduce the problem for a robot to localize itself, and, simultaneously, actively infer the
existence and properties of phenomena present in its surrounding environment: the SLAPI …