Robot Inner Perception Capability Through a Soft Somatosensory System

Author:

Augello Agnese1,Infantino Ignazio1,Maniscalco Umberto1,Pilato Giovanni1,Vella Filippo1

Affiliation:

1. ICAR-CNR, Italian National Research Council, Via Ugo La Malfa, 153 Palermo 90148, Italy

Abstract

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 unpleasant sensations is at the basis of the motivation level of a robot. It can modulate the “willingness” of accomplishing a given task. Negative sensations can represent an alarm indicating dangerous situations, while the feeling of a reassuring environment or a well-being sensation can be a stimulus in pursuing the task, even in the presence of a painful perception. In this paper, we illustrate a bio-inspired somatosensory system embedded in a cognitive model for a humanoid robot. The system is based on a set of soft sensors that have been designed in order to make it possible for the interpretation of the robot physical sensations through a proper classification of the perceived somatosensory signals. This interpretation triggers and modulates the motivation level of the robot as well as its behavior.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Linguistics and Language,Information Systems,Software

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