Robot Control Using Anticipatory Brain Potentials
Recently Biomedical Engineering showed advances in using brain potentials for control of physical devices, in particular, robots. This paper is focused on controlling robots using anticipatory brain potentials. An oscillatory brain potential generated in the CNV Flip-Flop Paradigm is used to trigger...
Gespeichert in:
Veröffentlicht in: | Automatika 2011, Vol.52 (1), p.20-30 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 30 |
---|---|
container_issue | 1 |
container_start_page | 20 |
container_title | Automatika |
container_volume | 52 |
creator | Božinovski, Adrijan Tonković, Stanko Išgum, Velimir Božinovska, Liljana |
description | Recently Biomedical Engineering showed advances in using brain potentials for control of physical devices, in particular, robots. This paper is focused on controlling robots using anticipatory brain potentials. An oscillatory brain potential generated in the CNV Flip-Flop Paradigm is used to trigger sequence of robot behaviors. Experimental illustration is given in which two robotic arms, driven by a brain expectancy potential oscillation, cooperatively solve the well known problem of Towers of Hanoi. |
doi_str_mv | 10.1080/00051144.2011.11828400 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1080_00051144_2011_11828400</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2215251113</sourcerecordid><originalsourceid>FETCH-LOGICAL-c389t-275056ac30920f53fb1ba2947634ac9341205c13ac7848da5c78cbfdcaf79b2e3</originalsourceid><addsrcrecordid>eNqFUE1LAzEQDaJgrf4FWfC8dSbJ7maPtfgFBUXsOWTTjaRsk5qkSP-9WWrPnh4zvI-ZR8gtwgxBwD0AVIiczyggzhAFFRzgjExQcFEyJuCcTEZSObIuyVWMmzzVrIYJwQ_f-VQsvEvBD8UqWvdVzF2y2u5U8uFQPARlXfHuU5-3aojX5MJk6G_-cEpWT4-fi5dy-fb8upgvS81Em0raVDlDaQYtBVMx02GnaMubmnGlW8aRQqWRKd3kM9eqyqg7s9bKNG1HezYld0ffXfDf-z4mufH74HKkpBQrmn9Glln1kaWDjzH0Ru6C3apwkAhyrEee6pFjPfJUTxbOj0LrjA9b9ePDsJZJHQYfTFBO2yjZPx6_LhtqXw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2215251113</pqid></control><display><type>article</type><title>Robot Control Using Anticipatory Brain Potentials</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Božinovski, Adrijan ; Tonković, Stanko ; Išgum, Velimir ; Božinovska, Liljana</creator><creatorcontrib>Božinovski, Adrijan ; Tonković, Stanko ; Išgum, Velimir ; Božinovska, Liljana</creatorcontrib><description>Recently Biomedical Engineering showed advances in using brain potentials for control of physical devices, in particular, robots. This paper is focused on controlling robots using anticipatory brain potentials. An oscillatory brain potential generated in the CNV Flip-Flop Paradigm is used to trigger sequence of robot behaviors. Experimental illustration is given in which two robotic arms, driven by a brain expectancy potential oscillation, cooperatively solve the well known problem of Towers of Hanoi.</description><identifier>ISSN: 0005-1144</identifier><identifier>EISSN: 1848-3380</identifier><identifier>DOI: 10.1080/00051144.2011.11828400</identifier><language>eng</language><publisher>Ljubljana: Taylor & Francis</publisher><subject>Adaptive Interface ; adaptivno sučelje ; anticipacijski potencijali mozga ; Anticipatory Brain Potentials ; Biomedical engineering ; Brain ; Brain Potentials Taxonomy ; CNV Flip-Flop Paradigm ; EEG-based Control ; Potential oscillations ; rješenje problema Hanojskih tornjeva pomoću dva robota ; Robot arms ; Robot control ; taksonomija potencijala mozga ; Two-Robot Solution of Towers of Hanoi Puzzle ; upravljanje zasnovano na EEG-u</subject><ispartof>Automatika, 2011, Vol.52 (1), p.20-30</ispartof><rights>2011 Taylor and Francis Group, LLC 2011</rights><rights>2011 Taylor and Francis Group, LLC</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c389t-275056ac30920f53fb1ba2947634ac9341205c13ac7848da5c78cbfdcaf79b2e3</citedby><cites>FETCH-LOGICAL-c389t-275056ac30920f53fb1ba2947634ac9341205c13ac7848da5c78cbfdcaf79b2e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4024,27923,27924,27925</link.rule.ids></links><search><creatorcontrib>Božinovski, Adrijan</creatorcontrib><creatorcontrib>Tonković, Stanko</creatorcontrib><creatorcontrib>Išgum, Velimir</creatorcontrib><creatorcontrib>Božinovska, Liljana</creatorcontrib><title>Robot Control Using Anticipatory Brain Potentials</title><title>Automatika</title><description>Recently Biomedical Engineering showed advances in using brain potentials for control of physical devices, in particular, robots. This paper is focused on controlling robots using anticipatory brain potentials. An oscillatory brain potential generated in the CNV Flip-Flop Paradigm is used to trigger sequence of robot behaviors. Experimental illustration is given in which two robotic arms, driven by a brain expectancy potential oscillation, cooperatively solve the well known problem of Towers of Hanoi.</description><subject>Adaptive Interface</subject><subject>adaptivno sučelje</subject><subject>anticipacijski potencijali mozga</subject><subject>Anticipatory Brain Potentials</subject><subject>Biomedical engineering</subject><subject>Brain</subject><subject>Brain Potentials Taxonomy</subject><subject>CNV Flip-Flop Paradigm</subject><subject>EEG-based Control</subject><subject>Potential oscillations</subject><subject>rješenje problema Hanojskih tornjeva pomoću dva robota</subject><subject>Robot arms</subject><subject>Robot control</subject><subject>taksonomija potencijala mozga</subject><subject>Two-Robot Solution of Towers of Hanoi Puzzle</subject><subject>upravljanje zasnovano na EEG-u</subject><issn>0005-1144</issn><issn>1848-3380</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFUE1LAzEQDaJgrf4FWfC8dSbJ7maPtfgFBUXsOWTTjaRsk5qkSP-9WWrPnh4zvI-ZR8gtwgxBwD0AVIiczyggzhAFFRzgjExQcFEyJuCcTEZSObIuyVWMmzzVrIYJwQ_f-VQsvEvBD8UqWvdVzF2y2u5U8uFQPARlXfHuU5-3aojX5MJk6G_-cEpWT4-fi5dy-fb8upgvS81Em0raVDlDaQYtBVMx02GnaMubmnGlW8aRQqWRKd3kM9eqyqg7s9bKNG1HezYld0ffXfDf-z4mufH74HKkpBQrmn9Glln1kaWDjzH0Ru6C3apwkAhyrEee6pFjPfJUTxbOj0LrjA9b9ePDsJZJHQYfTFBO2yjZPx6_LhtqXw</recordid><startdate>2011</startdate><enddate>2011</enddate><creator>Božinovski, Adrijan</creator><creator>Tonković, Stanko</creator><creator>Išgum, Velimir</creator><creator>Božinovska, Liljana</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7XB</scope><scope>8FD</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>2011</creationdate><title>Robot Control Using Anticipatory Brain Potentials</title><author>Božinovski, Adrijan ; Tonković, Stanko ; Išgum, Velimir ; Božinovska, Liljana</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c389t-275056ac30920f53fb1ba2947634ac9341205c13ac7848da5c78cbfdcaf79b2e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adaptive Interface</topic><topic>adaptivno sučelje</topic><topic>anticipacijski potencijali mozga</topic><topic>Anticipatory Brain Potentials</topic><topic>Biomedical engineering</topic><topic>Brain</topic><topic>Brain Potentials Taxonomy</topic><topic>CNV Flip-Flop Paradigm</topic><topic>EEG-based Control</topic><topic>Potential oscillations</topic><topic>rješenje problema Hanojskih tornjeva pomoću dva robota</topic><topic>Robot arms</topic><topic>Robot control</topic><topic>taksonomija potencijala mozga</topic><topic>Two-Robot Solution of Towers of Hanoi Puzzle</topic><topic>upravljanje zasnovano na EEG-u</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Božinovski, Adrijan</creatorcontrib><creatorcontrib>Tonković, Stanko</creatorcontrib><creatorcontrib>Išgum, Velimir</creatorcontrib><creatorcontrib>Božinovska, Liljana</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Technology Research Database</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Automatika</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Božinovski, Adrijan</au><au>Tonković, Stanko</au><au>Išgum, Velimir</au><au>Božinovska, Liljana</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Robot Control Using Anticipatory Brain Potentials</atitle><jtitle>Automatika</jtitle><date>2011</date><risdate>2011</risdate><volume>52</volume><issue>1</issue><spage>20</spage><epage>30</epage><pages>20-30</pages><issn>0005-1144</issn><eissn>1848-3380</eissn><abstract>Recently Biomedical Engineering showed advances in using brain potentials for control of physical devices, in particular, robots. This paper is focused on controlling robots using anticipatory brain potentials. An oscillatory brain potential generated in the CNV Flip-Flop Paradigm is used to trigger sequence of robot behaviors. Experimental illustration is given in which two robotic arms, driven by a brain expectancy potential oscillation, cooperatively solve the well known problem of Towers of Hanoi.</abstract><cop>Ljubljana</cop><pub>Taylor & Francis</pub><doi>10.1080/00051144.2011.11828400</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0005-1144 |
ispartof | Automatika, 2011, Vol.52 (1), p.20-30 |
issn | 0005-1144 1848-3380 |
language | eng |
recordid | cdi_crossref_primary_10_1080_00051144_2011_11828400 |
source | EZB-FREE-00999 freely available EZB journals |
subjects | Adaptive Interface adaptivno sučelje anticipacijski potencijali mozga Anticipatory Brain Potentials Biomedical engineering Brain Brain Potentials Taxonomy CNV Flip-Flop Paradigm EEG-based Control Potential oscillations rješenje problema Hanojskih tornjeva pomoću dva robota Robot arms Robot control taksonomija potencijala mozga Two-Robot Solution of Towers of Hanoi Puzzle upravljanje zasnovano na EEG-u |
title | Robot Control Using Anticipatory Brain Potentials |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-30T23%3A53%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Robot%20Control%20Using%20Anticipatory%20Brain%20Potentials&rft.jtitle=Automatika&rft.au=Bo%C5%BEinovski,%20Adrijan&rft.date=2011&rft.volume=52&rft.issue=1&rft.spage=20&rft.epage=30&rft.pages=20-30&rft.issn=0005-1144&rft.eissn=1848-3380&rft_id=info:doi/10.1080/00051144.2011.11828400&rft_dat=%3Cproquest_cross%3E2215251113%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2215251113&rft_id=info:pmid/&rfr_iscdi=true |