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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2013
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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. |
format | Online Article Text |
id | pubmed-3862023 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT reafrancesco eventdrivenvisualattentionforthehumanoidroboticub AT mettagiorgio eventdrivenvisualattentionforthehumanoidroboticub AT bartolozzichiara eventdrivenvisualattentionforthehumanoidroboticub |