Applying robotic frameworks in a simulated multi-agent contest: TUBDAI team description multi-agent programming contest 2017
In the Multi-Agent Programming Contest 2017 the TUBDAI team of the Technische Universität Berlin is using the complex multi-agent scenario to evaluate the application of two frameworks from the field (multi-)robot systems. In particular the task-level decision-making and planning framework ROS Hybri...
Gespeichert in:
| Veröffentlicht in: | Annals of mathematics and artificial intelligence 2018-10, Vol.84 (1-2), p.117-138 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 138 |
|---|---|
| container_issue | 1-2 |
| container_start_page | 117 |
| container_title | Annals of mathematics and artificial intelligence |
| container_volume | 84 |
| creator | Hrabia, Christopher-Eyk Lehmann, Patrick Marvin Battjbuer, Nabil Hessler, Axel Albayrak, Sahin |
| description | In the Multi-Agent Programming Contest 2017 the TUBDAI team of the Technische Universität Berlin is using the complex multi-agent scenario to evaluate the application of two frameworks from the field (multi-)robot systems. In particular the task-level decision-making and planning framework
ROS Hybrid Behaviour Planner (RHBP)
is used to implement the execution and decision-making for single agents. The RHBP framework builds on top of the framework
Robot Operating System (ROS)
that is used to implement the communication and scenario specific coordination strategy of the agents. The united team for the official contest is formed by volunteering students from a project course and their supervisors. |
| doi_str_mv | 10.1007/s10472-018-9586-x |
| format | Article |
| fullrecord | <record><control><sourceid>gale_cross</sourceid><recordid>TN_cdi_gale_infotracacademiconefile_A716217432</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A716217432</galeid><sourcerecordid>A716217432</sourcerecordid><originalsourceid>FETCH-LOGICAL-c327t-7f7a971878b319c91a1553dd290ccf12691c1f2bbb694ab14d0223285b0422db3</originalsourceid><addsrcrecordid>eNp9kM1KAzEQgIMoWKsP4G1fIDWTZDebi1CKf1DwoueQZJMldbtbkhTbtzeynmUOMwzzDTMfQvdAVkCIeEhAuKCYQItl3Tb4dIEWUAuGBRfkstQEKKacs2t0k9KOECKbtlmgx_XhMJzD2FdxMlMOtvJR7933FL9SFcZKVynsj4POrqtKzgHr3o25stOYXcq36MrrIbm7v7xEn89PH5tXvH1_edust9gyKjIWXmgpoBWtYSCtBA11zbqOSmKtB9pIsOCpMaaRXBvgHaGU0bY2hFPaGbZEq3lvrwenwuinHLUt0bl9KLc4H0p_LaChIDijBYAZsHFKKTqvDjHsdTwrIOrXmJqNqWJM_RpTp8LQmUllduxdVLvpGMfy1z_QDzN_bmU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Applying robotic frameworks in a simulated multi-agent contest: TUBDAI team description multi-agent programming contest 2017</title><source>SpringerLink Journals - AutoHoldings</source><source>ProQuest Central</source><creator>Hrabia, Christopher-Eyk ; Lehmann, Patrick Marvin ; Battjbuer, Nabil ; Hessler, Axel ; Albayrak, Sahin</creator><creatorcontrib>Hrabia, Christopher-Eyk ; Lehmann, Patrick Marvin ; Battjbuer, Nabil ; Hessler, Axel ; Albayrak, Sahin</creatorcontrib><description>In the Multi-Agent Programming Contest 2017 the TUBDAI team of the Technische Universität Berlin is using the complex multi-agent scenario to evaluate the application of two frameworks from the field (multi-)robot systems. In particular the task-level decision-making and planning framework
ROS Hybrid Behaviour Planner (RHBP)
is used to implement the execution and decision-making for single agents. The RHBP framework builds on top of the framework
Robot Operating System (ROS)
that is used to implement the communication and scenario specific coordination strategy of the agents. The united team for the official contest is formed by volunteering students from a project course and their supervisors.</description><identifier>ISSN: 1012-2443</identifier><identifier>EISSN: 1573-7470</identifier><identifier>DOI: 10.1007/s10472-018-9586-x</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Artificial Intelligence ; Complex Systems ; Computer Science ; Contests ; Mathematics ; Robots ; Volunteerism</subject><ispartof>Annals of mathematics and artificial intelligence, 2018-10, Vol.84 (1-2), p.117-138</ispartof><rights>Springer International Publishing AG, part of Springer Nature 2018</rights><rights>COPYRIGHT 2018 Springer</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c327t-7f7a971878b319c91a1553dd290ccf12691c1f2bbb694ab14d0223285b0422db3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10472-018-9586-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10472-018-9586-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Hrabia, Christopher-Eyk</creatorcontrib><creatorcontrib>Lehmann, Patrick Marvin</creatorcontrib><creatorcontrib>Battjbuer, Nabil</creatorcontrib><creatorcontrib>Hessler, Axel</creatorcontrib><creatorcontrib>Albayrak, Sahin</creatorcontrib><title>Applying robotic frameworks in a simulated multi-agent contest: TUBDAI team description multi-agent programming contest 2017</title><title>Annals of mathematics and artificial intelligence</title><addtitle>Ann Math Artif Intell</addtitle><description>In the Multi-Agent Programming Contest 2017 the TUBDAI team of the Technische Universität Berlin is using the complex multi-agent scenario to evaluate the application of two frameworks from the field (multi-)robot systems. In particular the task-level decision-making and planning framework
ROS Hybrid Behaviour Planner (RHBP)
is used to implement the execution and decision-making for single agents. The RHBP framework builds on top of the framework
Robot Operating System (ROS)
that is used to implement the communication and scenario specific coordination strategy of the agents. The united team for the official contest is formed by volunteering students from a project course and their supervisors.</description><subject>Artificial Intelligence</subject><subject>Complex Systems</subject><subject>Computer Science</subject><subject>Contests</subject><subject>Mathematics</subject><subject>Robots</subject><subject>Volunteerism</subject><issn>1012-2443</issn><issn>1573-7470</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kM1KAzEQgIMoWKsP4G1fIDWTZDebi1CKf1DwoueQZJMldbtbkhTbtzeynmUOMwzzDTMfQvdAVkCIeEhAuKCYQItl3Tb4dIEWUAuGBRfkstQEKKacs2t0k9KOECKbtlmgx_XhMJzD2FdxMlMOtvJR7933FL9SFcZKVynsj4POrqtKzgHr3o25stOYXcq36MrrIbm7v7xEn89PH5tXvH1_edust9gyKjIWXmgpoBWtYSCtBA11zbqOSmKtB9pIsOCpMaaRXBvgHaGU0bY2hFPaGbZEq3lvrwenwuinHLUt0bl9KLc4H0p_LaChIDijBYAZsHFKKTqvDjHsdTwrIOrXmJqNqWJM_RpTp8LQmUllduxdVLvpGMfy1z_QDzN_bmU</recordid><startdate>20181001</startdate><enddate>20181001</enddate><creator>Hrabia, Christopher-Eyk</creator><creator>Lehmann, Patrick Marvin</creator><creator>Battjbuer, Nabil</creator><creator>Hessler, Axel</creator><creator>Albayrak, Sahin</creator><general>Springer International Publishing</general><general>Springer</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20181001</creationdate><title>Applying robotic frameworks in a simulated multi-agent contest</title><author>Hrabia, Christopher-Eyk ; Lehmann, Patrick Marvin ; Battjbuer, Nabil ; Hessler, Axel ; Albayrak, Sahin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c327t-7f7a971878b319c91a1553dd290ccf12691c1f2bbb694ab14d0223285b0422db3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Artificial Intelligence</topic><topic>Complex Systems</topic><topic>Computer Science</topic><topic>Contests</topic><topic>Mathematics</topic><topic>Robots</topic><topic>Volunteerism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hrabia, Christopher-Eyk</creatorcontrib><creatorcontrib>Lehmann, Patrick Marvin</creatorcontrib><creatorcontrib>Battjbuer, Nabil</creatorcontrib><creatorcontrib>Hessler, Axel</creatorcontrib><creatorcontrib>Albayrak, Sahin</creatorcontrib><collection>CrossRef</collection><jtitle>Annals of mathematics and artificial intelligence</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hrabia, Christopher-Eyk</au><au>Lehmann, Patrick Marvin</au><au>Battjbuer, Nabil</au><au>Hessler, Axel</au><au>Albayrak, Sahin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Applying robotic frameworks in a simulated multi-agent contest: TUBDAI team description multi-agent programming contest 2017</atitle><jtitle>Annals of mathematics and artificial intelligence</jtitle><stitle>Ann Math Artif Intell</stitle><date>2018-10-01</date><risdate>2018</risdate><volume>84</volume><issue>1-2</issue><spage>117</spage><epage>138</epage><pages>117-138</pages><issn>1012-2443</issn><eissn>1573-7470</eissn><abstract>In the Multi-Agent Programming Contest 2017 the TUBDAI team of the Technische Universität Berlin is using the complex multi-agent scenario to evaluate the application of two frameworks from the field (multi-)robot systems. In particular the task-level decision-making and planning framework
ROS Hybrid Behaviour Planner (RHBP)
is used to implement the execution and decision-making for single agents. The RHBP framework builds on top of the framework
Robot Operating System (ROS)
that is used to implement the communication and scenario specific coordination strategy of the agents. The united team for the official contest is formed by volunteering students from a project course and their supervisors.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s10472-018-9586-x</doi><tpages>22</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1012-2443 |
| ispartof | Annals of mathematics and artificial intelligence, 2018-10, Vol.84 (1-2), p.117-138 |
| issn | 1012-2443 1573-7470 |
| language | eng |
| recordid | cdi_gale_infotracacademiconefile_A716217432 |
| source | SpringerLink Journals - AutoHoldings; ProQuest Central |
| subjects | Artificial Intelligence Complex Systems Computer Science Contests Mathematics Robots Volunteerism |
| title | Applying robotic frameworks in a simulated multi-agent contest: TUBDAI team description multi-agent programming contest 2017 |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-06T09%3A30%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Applying%20robotic%20frameworks%20in%20a%20simulated%20multi-agent%20contest:%20TUBDAI%20team%20description%20multi-agent%20programming%20contest%202017&rft.jtitle=Annals%20of%20mathematics%20and%20artificial%20intelligence&rft.au=Hrabia,%20Christopher-Eyk&rft.date=2018-10-01&rft.volume=84&rft.issue=1-2&rft.spage=117&rft.epage=138&rft.pages=117-138&rft.issn=1012-2443&rft.eissn=1573-7470&rft_id=info:doi/10.1007/s10472-018-9586-x&rft_dat=%3Cgale_cross%3EA716217432%3C/gale_cross%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_galeid=A716217432&rfr_iscdi=true |