In robotics, perception is usually oriented at understanding what is happening in the external
world, while few works pay attention to what is occurring in the robot's body. In this work, we …

To implement cognitive functions such as creativity, or the ability to create analogies and
metaphors, it is important to have mechanisms binding different representational spaces …

In this paper it is proposed a method to design and train a layer of soft sensors based on
neural networks in order to constitute a virtual layer of measure in a wireless sensor network …

Nowadays there is a growing interest in the design and implementation of robots capable of
exhibiting sophisticated behaviours, taking part in social interactions, expressing and …

The primary aim of this paper is to give to a humanoid robot the sense of pain. That because
the pain is one of the ways to which we protect our body. Thus, we consider that a humanoid …

The paper proposes an artificial somatosensory system loosely inspired by human beings'
biology and embedded in a cognitive architecture (CA). It enables a robot to receive the …

This paper presents a work in progress concerning a soft sensor approach for social sensing
in the context of cultural heritage. The approach analyzes public posts and comments on the …

The capability of a robot being aware of its internal status is a step forward to the
enhancement of human–robot interaction. The possibility of feeling either pleasant or …

A methodology to improve soft sensors performances in spatial forecast of environmental
parameters is introduced. To this aim, we substitute a single soft sensor based on a single …

Estimation of missing sensor data is an important issue in control systems that are based on
smart sensor networks, since it can support an adaptive functionality of the control network …