Interaction Templates for Multi-Robot Systems

This letter describes a framework for multi-robot problems that require or utilize interactions between robots. Solutions consider interactions on a motion planning level to determine the feasibility and cost of the multi-robot team solution. Modeling these problems with current integrated task and...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE robotics and automation letters 2019-07, Vol.4 (3), p.2926-2933
Hauptverfasser: Motes, James, Sandstrom, Read, Adams, Will, Ogunyale, Tobi, Thomas, Shawna, Amato, Nancy M.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 2933
container_issue 3
container_start_page 2926
container_title IEEE robotics and automation letters
container_volume 4
creator Motes, James
Sandstrom, Read
Adams, Will
Ogunyale, Tobi
Thomas, Shawna
Amato, Nancy M.
description This letter describes a framework for multi-robot problems that require or utilize interactions between robots. Solutions consider interactions on a motion planning level to determine the feasibility and cost of the multi-robot team solution. Modeling these problems with current integrated task and motion planning (TMP) approaches typically requires reasoning about the possible interactions and checking many of the possible robot combinations when searching for a solution. We present a multi-robot planning method called Interaction Templates (ITs), which moves certain types of robot interactions from the task planner to the motion planner. ITs model interactions between a set of robots with a small roadmap. This roadmap is then tiled into the environment and connected to the robots' individual roadmaps. The resulting combined roadmap allows interactions to be considered by the motion planner. We apply ITs to homogeneous and heterogeneous robot teams under both required and optional cooperation scenarios, which previously required a task planning method. We show improved performance over a current TMP planning approach.
doi_str_mv 10.1109/LRA.2019.2923386
format Article
fullrecord <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_ieee_primary_8737744</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>8737744</ieee_id><sourcerecordid>2296104943</sourcerecordid><originalsourceid>FETCH-LOGICAL-c333t-b7e0af854dd4c2326abe55f3ca073062085377adf9f69828f08b992aef3ab0053</originalsourceid><addsrcrecordid>eNpNkE1LAzEQhoMoWGrvgpcFz7tOMpuvYylqCxWh1nPI7iawpW1qkh76793SIp5mDs878_IQ8kihohT0y3I1rRhQXTHNEJW4ISOGUpYohbj9t9-TSUobAKCcSdR8RMrFPrto29yHfbF2u8PWZpcKH2LxcdzmvlyFJuTi65Sy26UHcuftNrnJdY7J99vrejYvl5_vi9l0WbaImMtGOrBe8brr6pYhE7ZxnHtsLUgEwUDxoZHtvPZCK6Y8qEZrZp1H2wBwHJPny91DDD9Hl7LZhGPcDy8NY1pQqHWNAwUXqo0hpei8OcR-Z-PJUDBnL2bwYs5ezNXLEHm6RHrn3B-u5FCnrvEXMgxctw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2296104943</pqid></control><display><type>article</type><title>Interaction Templates for Multi-Robot Systems</title><source>IEEE Electronic Library (IEL)</source><creator>Motes, James ; Sandstrom, Read ; Adams, Will ; Ogunyale, Tobi ; Thomas, Shawna ; Amato, Nancy M.</creator><creatorcontrib>Motes, James ; Sandstrom, Read ; Adams, Will ; Ogunyale, Tobi ; Thomas, Shawna ; Amato, Nancy M.</creatorcontrib><description>This letter describes a framework for multi-robot problems that require or utilize interactions between robots. Solutions consider interactions on a motion planning level to determine the feasibility and cost of the multi-robot team solution. Modeling these problems with current integrated task and motion planning (TMP) approaches typically requires reasoning about the possible interactions and checking many of the possible robot combinations when searching for a solution. We present a multi-robot planning method called Interaction Templates (ITs), which moves certain types of robot interactions from the task planner to the motion planner. ITs model interactions between a set of robots with a small roadmap. This roadmap is then tiled into the environment and connected to the robots' individual roadmaps. The resulting combined roadmap allows interactions to be considered by the motion planner. We apply ITs to homogeneous and heterogeneous robot teams under both required and optional cooperation scenarios, which previously required a task planning method. We show improved performance over a current TMP planning approach.</description><identifier>ISSN: 2377-3766</identifier><identifier>EISSN: 2377-3766</identifier><identifier>DOI: 10.1109/LRA.2019.2923386</identifier><identifier>CODEN: IRALC6</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>cooperating robots ; Manipulators ; motion and path planning ; Motion planning ; Multi-robot systems ; Multiple robots ; Payloads ; Planning ; Resource management ; Robot dynamics ; Robot kinematics ; Robots ; Task analysis ; Task planning (robotics)</subject><ispartof>IEEE robotics and automation letters, 2019-07, Vol.4 (3), p.2926-2933</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c333t-b7e0af854dd4c2326abe55f3ca073062085377adf9f69828f08b992aef3ab0053</citedby><cites>FETCH-LOGICAL-c333t-b7e0af854dd4c2326abe55f3ca073062085377adf9f69828f08b992aef3ab0053</cites><orcidid>0000-0001-5817-5290 ; 0000-0001-9205-1523 ; 0000-0002-9967-2493 ; 0000-0002-9553-7331</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8737744$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>315,781,785,797,27929,27930,54763</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8737744$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Motes, James</creatorcontrib><creatorcontrib>Sandstrom, Read</creatorcontrib><creatorcontrib>Adams, Will</creatorcontrib><creatorcontrib>Ogunyale, Tobi</creatorcontrib><creatorcontrib>Thomas, Shawna</creatorcontrib><creatorcontrib>Amato, Nancy M.</creatorcontrib><title>Interaction Templates for Multi-Robot Systems</title><title>IEEE robotics and automation letters</title><addtitle>LRA</addtitle><description>This letter describes a framework for multi-robot problems that require or utilize interactions between robots. Solutions consider interactions on a motion planning level to determine the feasibility and cost of the multi-robot team solution. Modeling these problems with current integrated task and motion planning (TMP) approaches typically requires reasoning about the possible interactions and checking many of the possible robot combinations when searching for a solution. We present a multi-robot planning method called Interaction Templates (ITs), which moves certain types of robot interactions from the task planner to the motion planner. ITs model interactions between a set of robots with a small roadmap. This roadmap is then tiled into the environment and connected to the robots' individual roadmaps. The resulting combined roadmap allows interactions to be considered by the motion planner. We apply ITs to homogeneous and heterogeneous robot teams under both required and optional cooperation scenarios, which previously required a task planning method. We show improved performance over a current TMP planning approach.</description><subject>cooperating robots</subject><subject>Manipulators</subject><subject>motion and path planning</subject><subject>Motion planning</subject><subject>Multi-robot systems</subject><subject>Multiple robots</subject><subject>Payloads</subject><subject>Planning</subject><subject>Resource management</subject><subject>Robot dynamics</subject><subject>Robot kinematics</subject><subject>Robots</subject><subject>Task analysis</subject><subject>Task planning (robotics)</subject><issn>2377-3766</issn><issn>2377-3766</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNkE1LAzEQhoMoWGrvgpcFz7tOMpuvYylqCxWh1nPI7iawpW1qkh76793SIp5mDs878_IQ8kihohT0y3I1rRhQXTHNEJW4ISOGUpYohbj9t9-TSUobAKCcSdR8RMrFPrto29yHfbF2u8PWZpcKH2LxcdzmvlyFJuTi65Sy26UHcuftNrnJdY7J99vrejYvl5_vi9l0WbaImMtGOrBe8brr6pYhE7ZxnHtsLUgEwUDxoZHtvPZCK6Y8qEZrZp1H2wBwHJPny91DDD9Hl7LZhGPcDy8NY1pQqHWNAwUXqo0hpei8OcR-Z-PJUDBnL2bwYs5ezNXLEHm6RHrn3B-u5FCnrvEXMgxctw</recordid><startdate>20190701</startdate><enddate>20190701</enddate><creator>Motes, James</creator><creator>Sandstrom, Read</creator><creator>Adams, Will</creator><creator>Ogunyale, Tobi</creator><creator>Thomas, Shawna</creator><creator>Amato, Nancy M.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0001-5817-5290</orcidid><orcidid>https://orcid.org/0000-0001-9205-1523</orcidid><orcidid>https://orcid.org/0000-0002-9967-2493</orcidid><orcidid>https://orcid.org/0000-0002-9553-7331</orcidid></search><sort><creationdate>20190701</creationdate><title>Interaction Templates for Multi-Robot Systems</title><author>Motes, James ; Sandstrom, Read ; Adams, Will ; Ogunyale, Tobi ; Thomas, Shawna ; Amato, Nancy M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c333t-b7e0af854dd4c2326abe55f3ca073062085377adf9f69828f08b992aef3ab0053</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>cooperating robots</topic><topic>Manipulators</topic><topic>motion and path planning</topic><topic>Motion planning</topic><topic>Multi-robot systems</topic><topic>Multiple robots</topic><topic>Payloads</topic><topic>Planning</topic><topic>Resource management</topic><topic>Robot dynamics</topic><topic>Robot kinematics</topic><topic>Robots</topic><topic>Task analysis</topic><topic>Task planning (robotics)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Motes, James</creatorcontrib><creatorcontrib>Sandstrom, Read</creatorcontrib><creatorcontrib>Adams, Will</creatorcontrib><creatorcontrib>Ogunyale, Tobi</creatorcontrib><creatorcontrib>Thomas, Shawna</creatorcontrib><creatorcontrib>Amato, Nancy M.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</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><jtitle>IEEE robotics and automation letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Motes, James</au><au>Sandstrom, Read</au><au>Adams, Will</au><au>Ogunyale, Tobi</au><au>Thomas, Shawna</au><au>Amato, Nancy M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Interaction Templates for Multi-Robot Systems</atitle><jtitle>IEEE robotics and automation letters</jtitle><stitle>LRA</stitle><date>2019-07-01</date><risdate>2019</risdate><volume>4</volume><issue>3</issue><spage>2926</spage><epage>2933</epage><pages>2926-2933</pages><issn>2377-3766</issn><eissn>2377-3766</eissn><coden>IRALC6</coden><abstract>This letter describes a framework for multi-robot problems that require or utilize interactions between robots. Solutions consider interactions on a motion planning level to determine the feasibility and cost of the multi-robot team solution. Modeling these problems with current integrated task and motion planning (TMP) approaches typically requires reasoning about the possible interactions and checking many of the possible robot combinations when searching for a solution. We present a multi-robot planning method called Interaction Templates (ITs), which moves certain types of robot interactions from the task planner to the motion planner. ITs model interactions between a set of robots with a small roadmap. This roadmap is then tiled into the environment and connected to the robots' individual roadmaps. The resulting combined roadmap allows interactions to be considered by the motion planner. We apply ITs to homogeneous and heterogeneous robot teams under both required and optional cooperation scenarios, which previously required a task planning method. We show improved performance over a current TMP planning approach.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/LRA.2019.2923386</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0001-5817-5290</orcidid><orcidid>https://orcid.org/0000-0001-9205-1523</orcidid><orcidid>https://orcid.org/0000-0002-9967-2493</orcidid><orcidid>https://orcid.org/0000-0002-9553-7331</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 2377-3766
ispartof IEEE robotics and automation letters, 2019-07, Vol.4 (3), p.2926-2933
issn 2377-3766
2377-3766
language eng
recordid cdi_ieee_primary_8737744
source IEEE Electronic Library (IEL)
subjects cooperating robots
Manipulators
motion and path planning
Motion planning
Multi-robot systems
Multiple robots
Payloads
Planning
Resource management
Robot dynamics
Robot kinematics
Robots
Task analysis
Task planning (robotics)
title Interaction Templates for Multi-Robot Systems
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-12T10%3A15%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Interaction%20Templates%20for%20Multi-Robot%20Systems&rft.jtitle=IEEE%20robotics%20and%20automation%20letters&rft.au=Motes,%20James&rft.date=2019-07-01&rft.volume=4&rft.issue=3&rft.spage=2926&rft.epage=2933&rft.pages=2926-2933&rft.issn=2377-3766&rft.eissn=2377-3766&rft.coden=IRALC6&rft_id=info:doi/10.1109/LRA.2019.2923386&rft_dat=%3Cproquest_RIE%3E2296104943%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2296104943&rft_id=info:pmid/&rft_ieee_id=8737744&rfr_iscdi=true