Working memory and perception

The ability to teach a robot new skills and tasks without explicit programming is an important goal in robotics. Such capability tends to imply the ability to learn from experience, much like many biological creatures. Evidence suggests that working memory plays a pivotal role in this learning proce...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Wilkes, D.M., Tugcu, M., Hunter, J.E., Noelle, D.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 691
container_issue
container_start_page 686
container_title
container_volume
creator Wilkes, D.M.
Tugcu, M.
Hunter, J.E.
Noelle, D.
description The ability to teach a robot new skills and tasks without explicit programming is an important goal in robotics. Such capability tends to imply the ability to learn from experience, much like many biological creatures. Evidence suggests that working memory plays a pivotal role in this learning process, in part by focusing attention on the most relevant data. We describe ongoing research to study the utility of computational neuroscience models of working memory within robotic systems. A system comprised of working memory, short term memory, long term memory, spatial reasoning and perception modules is proposed. The paper focuses on the perceptual module and its interaction with the working memory. Results are given to show the current progress.
doi_str_mv 10.1109/ROMAN.2005.1513859
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_1513859</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1513859</ieee_id><sourcerecordid>1513859</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-93b9c8a0773a386c737e296f560e64c1708912f91ec15df14bbc004d163db7d73</originalsourceid><addsrcrecordid>eNo9j8tKA0EQRRsfYIz5AUWYH5ixaqq7q2sZgi-IBkRxGXp6eqTVeTCTTf5eweDdnMWBA1epS4QCEeTmZfO0fC5KAFOgQXJGjtQMRetcNPGxOgd2QFKy1if_QpsztZimT_gdicXSzdT1ez9-pe4ja2Pbj_vMd3U2xDHEYZf67kKdNv57iosD5-rt7vZ19ZCvN_ePq-U6T8hmlwtVEpwHZvLkbGDiWIptjIVodUAGJ1g2gjGgqRvUVRUAdI2W6oprprm6-uumGON2GFPrx_328Ix-AOCDPkc</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Working memory and perception</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Wilkes, D.M. ; Tugcu, M. ; Hunter, J.E. ; Noelle, D.</creator><creatorcontrib>Wilkes, D.M. ; Tugcu, M. ; Hunter, J.E. ; Noelle, D.</creatorcontrib><description>The ability to teach a robot new skills and tasks without explicit programming is an important goal in robotics. Such capability tends to imply the ability to learn from experience, much like many biological creatures. Evidence suggests that working memory plays a pivotal role in this learning process, in part by focusing attention on the most relevant data. We describe ongoing research to study the utility of computational neuroscience models of working memory within robotic systems. A system comprised of working memory, short term memory, long term memory, spatial reasoning and perception modules is proposed. The paper focuses on the perceptual module and its interaction with the working memory. Results are given to show the current progress.</description><identifier>ISSN: 1944-9445</identifier><identifier>ISBN: 0780392744</identifier><identifier>ISBN: 9780780392748</identifier><identifier>EISSN: 1944-9437</identifier><identifier>DOI: 10.1109/ROMAN.2005.1513859</identifier><language>eng</language><publisher>IEEE</publisher><subject>Biological information theory ; Biological system modeling ; Biology computing ; Educational robots ; Humans ; Intelligent robots ; Intelligent systems ; Neuroscience ; Orbital robotics ; Robot programming</subject><ispartof>ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005, 2005, p.686-691</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1513859$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,4036,4037,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1513859$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Wilkes, D.M.</creatorcontrib><creatorcontrib>Tugcu, M.</creatorcontrib><creatorcontrib>Hunter, J.E.</creatorcontrib><creatorcontrib>Noelle, D.</creatorcontrib><title>Working memory and perception</title><title>ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005</title><addtitle>ROMAN</addtitle><description>The ability to teach a robot new skills and tasks without explicit programming is an important goal in robotics. Such capability tends to imply the ability to learn from experience, much like many biological creatures. Evidence suggests that working memory plays a pivotal role in this learning process, in part by focusing attention on the most relevant data. We describe ongoing research to study the utility of computational neuroscience models of working memory within robotic systems. A system comprised of working memory, short term memory, long term memory, spatial reasoning and perception modules is proposed. The paper focuses on the perceptual module and its interaction with the working memory. Results are given to show the current progress.</description><subject>Biological information theory</subject><subject>Biological system modeling</subject><subject>Biology computing</subject><subject>Educational robots</subject><subject>Humans</subject><subject>Intelligent robots</subject><subject>Intelligent systems</subject><subject>Neuroscience</subject><subject>Orbital robotics</subject><subject>Robot programming</subject><issn>1944-9445</issn><issn>1944-9437</issn><isbn>0780392744</isbn><isbn>9780780392748</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9j8tKA0EQRRsfYIz5AUWYH5ixaqq7q2sZgi-IBkRxGXp6eqTVeTCTTf5eweDdnMWBA1epS4QCEeTmZfO0fC5KAFOgQXJGjtQMRetcNPGxOgd2QFKy1if_QpsztZimT_gdicXSzdT1ez9-pe4ja2Pbj_vMd3U2xDHEYZf67kKdNv57iosD5-rt7vZ19ZCvN_ePq-U6T8hmlwtVEpwHZvLkbGDiWIptjIVodUAGJ1g2gjGgqRvUVRUAdI2W6oprprm6-uumGON2GFPrx_328Ix-AOCDPkc</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Wilkes, D.M.</creator><creator>Tugcu, M.</creator><creator>Hunter, J.E.</creator><creator>Noelle, D.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2005</creationdate><title>Working memory and perception</title><author>Wilkes, D.M. ; Tugcu, M. ; Hunter, J.E. ; Noelle, D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-93b9c8a0773a386c737e296f560e64c1708912f91ec15df14bbc004d163db7d73</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Biological information theory</topic><topic>Biological system modeling</topic><topic>Biology computing</topic><topic>Educational robots</topic><topic>Humans</topic><topic>Intelligent robots</topic><topic>Intelligent systems</topic><topic>Neuroscience</topic><topic>Orbital robotics</topic><topic>Robot programming</topic><toplevel>online_resources</toplevel><creatorcontrib>Wilkes, D.M.</creatorcontrib><creatorcontrib>Tugcu, M.</creatorcontrib><creatorcontrib>Hunter, J.E.</creatorcontrib><creatorcontrib>Noelle, D.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Wilkes, D.M.</au><au>Tugcu, M.</au><au>Hunter, J.E.</au><au>Noelle, D.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Working memory and perception</atitle><btitle>ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005</btitle><stitle>ROMAN</stitle><date>2005</date><risdate>2005</risdate><spage>686</spage><epage>691</epage><pages>686-691</pages><issn>1944-9445</issn><eissn>1944-9437</eissn><isbn>0780392744</isbn><isbn>9780780392748</isbn><abstract>The ability to teach a robot new skills and tasks without explicit programming is an important goal in robotics. Such capability tends to imply the ability to learn from experience, much like many biological creatures. Evidence suggests that working memory plays a pivotal role in this learning process, in part by focusing attention on the most relevant data. We describe ongoing research to study the utility of computational neuroscience models of working memory within robotic systems. A system comprised of working memory, short term memory, long term memory, spatial reasoning and perception modules is proposed. The paper focuses on the perceptual module and its interaction with the working memory. Results are given to show the current progress.</abstract><pub>IEEE</pub><doi>10.1109/ROMAN.2005.1513859</doi><tpages>6</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1944-9445
ispartof ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005, 2005, p.686-691
issn 1944-9445
1944-9437
language eng
recordid cdi_ieee_primary_1513859
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Biological information theory
Biological system modeling
Biology computing
Educational robots
Humans
Intelligent robots
Intelligent systems
Neuroscience
Orbital robotics
Robot programming
title Working memory and perception
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-20T20%3A42%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Working%20memory%20and%20perception&rft.btitle=ROMAN%202005.%20IEEE%20International%20Workshop%20on%20Robot%20and%20Human%20Interactive%20Communication,%202005&rft.au=Wilkes,%20D.M.&rft.date=2005&rft.spage=686&rft.epage=691&rft.pages=686-691&rft.issn=1944-9445&rft.eissn=1944-9437&rft.isbn=0780392744&rft.isbn_list=9780780392748&rft_id=info:doi/10.1109/ROMAN.2005.1513859&rft_dat=%3Cieee_6IE%3E1513859%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=1513859&rfr_iscdi=true