Publications

@article{augelloRobotInnerPerception2018,

title = {Robot Inner Perception Capability through a Soft Somatosensory System},

author = { Agnese Augello and Ignazio Infantino and Umberto Maniscalco and Giovanni Pilato and Filippo Vella},

doi = {10.1142/S1793351X18400044},

issn = {1793351X},

year  = {2018},

date = {2018-01-01},

journal = {International Journal of Semantic Computing},

volume = {12},

number = {1},

pages = {59--87},

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. textcopyright 2018 World Scientific Publishing Company.},

keywords = {Anthropomorphic Robots, Cognitive Architectures, Cognitive Model, Human Robot Interaction, Motivation, Sensor systems, Somatosensory Systems},

pubstate = {published},

tppubtype = {article}

}

@article{augello_robot_2018,

title = {Robot inner perception capability through a soft somatosensory system},

author = {Agnese Augello and Ignazio Infantino and Umberto Maniscalco and Giovanni Pilato and Filippo Vella},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051523659&doi=10.1142%2fS1793351X18400044&partnerID=40&md5=c602b9f8638911db3433de9acd74ea75},

doi = {10.1142/S1793351X18400044},

issn = {1793351X},

year  = {2018},

date = {2018-01-01},

journal = {International Journal of Semantic Computing},

volume = {12},

number = {1},

pages = {59–87},

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. © 2018 World Scientific Publishing Company.},

keywords = {Anthropomorphic Robots, Cognitive Architectures, Cognitive Model, Human Robot Interaction, Motivation, Sensor systems, Somatosensory Systems},

pubstate = {published},

tppubtype = {article}

}