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dc.contributor.authorRea, Fen
dc.contributor.authorMetta, Gen
dc.contributor.authorBartolozzi, Cen
dc.date.accessioned2017-06-23T15:46:54Z
dc.date.available2017-06-23T15:46:54Z
dc.date.issued2013en
dc.identifier.issn1662-4548en
dc.identifier.urihttp://hdl.handle.net/10026.1/9539
dc.description.abstract

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.

en
dc.format.extent234 - ?en
dc.languageengen
dc.language.isoengen
dc.subjectevent-drivenen
dc.subjecthumanoid roboticsen
dc.subjectneuromorphicen
dc.subjectsaliency mapen
dc.subjectvisual attentionen
dc.titleEvent-driven visual attention for the humanoid robot iCub.en
dc.typeJournal Article
plymouth.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/24379753en
plymouth.volume7en
plymouth.publication-statusPublished onlineen
plymouth.journalFront Neuroscien
dc.identifier.doi10.3389/fnins.2013.00234en
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics
dc.publisher.placeSwitzerlanden
dcterms.dateAccepted2013-11-20en
dc.rights.embargoperiodNot knownen
rioxxterms.versionofrecord10.3389/fnins.2013.00234en
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2013en
rioxxterms.typeJournal Article/Reviewen


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