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Robot Inner Perception Capability Through a Soft Somatosensory System

Academic Article
Publication Date:
2018
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.
Iris type:
01.01 Articolo in rivista
Keywords:
Somatosensory System; Soft sensors; Cognitive Architecture; Humanoid Robot
List of contributors:
Maniscalco, Umberto; Pilato, Giovanni; Infantino, Ignazio; Vella, Filippo; Augello, Agnese
Authors of the University:
AUGELLO AGNESE
INFANTINO IGNAZIO
MANISCALCO UMBERTO
PILATO GIOVANNI
VELLA FILIPPO
Handle:
https://iris.cnr.it/handle/20.500.14243/371945
Published in:
INTERNATIONAL JOURNAL OF SEMANTIC COMPUTING
Journal
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URL

https://www.worldscientific.com/doi/abs/10.1142/S1793351X18400044
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