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Event-driven visual attention for the humanoid robot iCub

Fast reaction to sudden and potentially interesting stimuli is a crucial feature for safe and reliable interaction with the environment. Here we present a biologically inspired attention system developed for the humanoid robot iCub. It is based on input from unconventional event-driven vision sensor...

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Detalles Bibliográficos
Autores principales: Rea, Francesco, Metta, Giorgio, Bartolozzi, Chiara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3862023/
https://www.ncbi.nlm.nih.gov/pubmed/24379753
http://dx.doi.org/10.3389/fnins.2013.00234
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author Rea, Francesco
Metta, Giorgio
Bartolozzi, Chiara
author_facet Rea, Francesco
Metta, Giorgio
Bartolozzi, Chiara
author_sort Rea, Francesco
collection PubMed
description Fast reaction to sudden and potentially interesting stimuli is a crucial feature for safe and reliable interaction with the environment. Here we present a biologically inspired attention system developed for the humanoid robot iCub. It is based on input from unconventional event-driven vision sensors and an efficient computational method. The resulting system shows low-latency and fast determination of the location of the focus of attention. The performance is benchmarked against an instance of the state of the art in robotics artificial attention system used in robotics. Results show that the proposed system is two orders of magnitude faster that the benchmark in selecting a new stimulus to attend.
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spelling pubmed-38620232013-12-30 Event-driven visual attention for the humanoid robot iCub Rea, Francesco Metta, Giorgio Bartolozzi, Chiara Front Neurosci Neuroscience Fast reaction to sudden and potentially interesting stimuli is a crucial feature for safe and reliable interaction with the environment. Here we present a biologically inspired attention system developed for the humanoid robot iCub. It is based on input from unconventional event-driven vision sensors and an efficient computational method. The resulting system shows low-latency and fast determination of the location of the focus of attention. The performance is benchmarked against an instance of the state of the art in robotics artificial attention system used in robotics. Results show that the proposed system is two orders of magnitude faster that the benchmark in selecting a new stimulus to attend. Frontiers Media S.A. 2013-12-13 /pmc/articles/PMC3862023/ /pubmed/24379753 http://dx.doi.org/10.3389/fnins.2013.00234 Text en Copyright © 2013 Rea, Metta and Bartolozzi. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Rea, Francesco
Metta, Giorgio
Bartolozzi, Chiara
Event-driven visual attention for the humanoid robot iCub
title Event-driven visual attention for the humanoid robot iCub
title_full Event-driven visual attention for the humanoid robot iCub
title_fullStr Event-driven visual attention for the humanoid robot iCub
title_full_unstemmed Event-driven visual attention for the humanoid robot iCub
title_short Event-driven visual attention for the humanoid robot iCub
title_sort event-driven visual attention for the humanoid robot icub
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3862023/
https://www.ncbi.nlm.nih.gov/pubmed/24379753
http://dx.doi.org/10.3389/fnins.2013.00234
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