Obstacle avoidance for redundant robots using Jacobian transpose method

Conventional approaches for collision avoidance often use the gradient projection method on minimum distance function. This paper discusses several shortcomings to draw special attention when it is applied to avoid collision with multiple obstacles. As a remedy to the identified problems, a novel me...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Kwang-Kyu Lee, Buss, M.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 3514
container_issue
container_start_page 3509
container_title
container_volume
creator Kwang-Kyu Lee
Buss, M.
description Conventional approaches for collision avoidance often use the gradient projection method on minimum distance function. This paper discusses several shortcomings to draw special attention when it is applied to avoid collision with multiple obstacles. As a remedy to the identified problems, a novel method of collision avoidance based on Jacobian transpose method is proposed, which does not require to calculate the gradient of the minimum distance function, hence resulting in a computationally simple algorithm. In addition, an efficient collision detection algorithm for all possible spatial as well as planar configurations is presented. Simulation results with a four Degrees of Freedom planar manipulator are given to illustrate the several shortcomings of conventional methods and to validate the proposed method.
doi_str_mv 10.1109/IROS.2007.4399182
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_4399182</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4399182</ieee_id><sourcerecordid>4399182</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-37e22241fb0391d7f80f10905e04b937225efc9a20a072aa9319c2f76432a7063</originalsourceid><addsrcrecordid>eNo9kN1Kw0AUhNefgm3tA4g3-wKp55zdZLOXUrRWCgHtfTlJdjXSZks2FXx7I1avhuGDYWaEuEGYI4K9W70Ur3MCMHOtrMWczsQENWkNFik_F2PCVCWQZ9mFmFmT_zGky3-W5iMx-cnI7ICyKzGL8QMA0GQakMZiWZSx52rnJH-Gpua2ctKHTnauPraD7WUXytBHeYxN-yafuQplw63sO27jIUQn965_D_W1GHneRTc76VRsHh82i6dkXSxXi_t10ljoE2UcEWn0JSiLtfE5-GEqpA50aZUhSp2vLBMwGGK2Cm1FfiiriA1kaipuf2Mb59z20DV77r62p3_UN9aoUdM</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Obstacle avoidance for redundant robots using Jacobian transpose method</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Kwang-Kyu Lee ; Buss, M.</creator><creatorcontrib>Kwang-Kyu Lee ; Buss, M.</creatorcontrib><description>Conventional approaches for collision avoidance often use the gradient projection method on minimum distance function. This paper discusses several shortcomings to draw special attention when it is applied to avoid collision with multiple obstacles. As a remedy to the identified problems, a novel method of collision avoidance based on Jacobian transpose method is proposed, which does not require to calculate the gradient of the minimum distance function, hence resulting in a computationally simple algorithm. In addition, an efficient collision detection algorithm for all possible spatial as well as planar configurations is presented. Simulation results with a four Degrees of Freedom planar manipulator are given to illustrate the several shortcomings of conventional methods and to validate the proposed method.</description><identifier>ISSN: 2153-0858</identifier><identifier>ISBN: 9781424409112</identifier><identifier>ISBN: 142440911X</identifier><identifier>EISSN: 2153-0866</identifier><identifier>EISBN: 1424409128</identifier><identifier>EISBN: 9781424409129</identifier><identifier>DOI: 10.1109/IROS.2007.4399182</identifier><identifier>LCCN: 2007694096</identifier><language>eng</language><publisher>IEEE</publisher><subject>Collision avoidance ; Detection algorithms ; Intelligent robots ; Jacobian matrices ; Kinematics ; Manipulators ; Mobile robots ; Path planning ; Production facilities ; Robotic assembly</subject><ispartof>2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007, p.3509-3514</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/4399182$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4399182$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Kwang-Kyu Lee</creatorcontrib><creatorcontrib>Buss, M.</creatorcontrib><title>Obstacle avoidance for redundant robots using Jacobian transpose method</title><title>2007 IEEE/RSJ International Conference on Intelligent Robots and Systems</title><addtitle>IROS</addtitle><description>Conventional approaches for collision avoidance often use the gradient projection method on minimum distance function. This paper discusses several shortcomings to draw special attention when it is applied to avoid collision with multiple obstacles. As a remedy to the identified problems, a novel method of collision avoidance based on Jacobian transpose method is proposed, which does not require to calculate the gradient of the minimum distance function, hence resulting in a computationally simple algorithm. In addition, an efficient collision detection algorithm for all possible spatial as well as planar configurations is presented. Simulation results with a four Degrees of Freedom planar manipulator are given to illustrate the several shortcomings of conventional methods and to validate the proposed method.</description><subject>Collision avoidance</subject><subject>Detection algorithms</subject><subject>Intelligent robots</subject><subject>Jacobian matrices</subject><subject>Kinematics</subject><subject>Manipulators</subject><subject>Mobile robots</subject><subject>Path planning</subject><subject>Production facilities</subject><subject>Robotic assembly</subject><issn>2153-0858</issn><issn>2153-0866</issn><isbn>9781424409112</isbn><isbn>142440911X</isbn><isbn>1424409128</isbn><isbn>9781424409129</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9kN1Kw0AUhNefgm3tA4g3-wKp55zdZLOXUrRWCgHtfTlJdjXSZks2FXx7I1avhuGDYWaEuEGYI4K9W70Ur3MCMHOtrMWczsQENWkNFik_F2PCVCWQZ9mFmFmT_zGky3-W5iMx-cnI7ICyKzGL8QMA0GQakMZiWZSx52rnJH-Gpua2ctKHTnauPraD7WUXytBHeYxN-yafuQplw63sO27jIUQn965_D_W1GHneRTc76VRsHh82i6dkXSxXi_t10ljoE2UcEWn0JSiLtfE5-GEqpA50aZUhSp2vLBMwGGK2Cm1FfiiriA1kaipuf2Mb59z20DV77r62p3_UN9aoUdM</recordid><startdate>200710</startdate><enddate>200710</enddate><creator>Kwang-Kyu Lee</creator><creator>Buss, M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200710</creationdate><title>Obstacle avoidance for redundant robots using Jacobian transpose method</title><author>Kwang-Kyu Lee ; Buss, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-37e22241fb0391d7f80f10905e04b937225efc9a20a072aa9319c2f76432a7063</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Collision avoidance</topic><topic>Detection algorithms</topic><topic>Intelligent robots</topic><topic>Jacobian matrices</topic><topic>Kinematics</topic><topic>Manipulators</topic><topic>Mobile robots</topic><topic>Path planning</topic><topic>Production facilities</topic><topic>Robotic assembly</topic><toplevel>online_resources</toplevel><creatorcontrib>Kwang-Kyu Lee</creatorcontrib><creatorcontrib>Buss, M.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kwang-Kyu Lee</au><au>Buss, M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Obstacle avoidance for redundant robots using Jacobian transpose method</atitle><btitle>2007 IEEE/RSJ International Conference on Intelligent Robots and Systems</btitle><stitle>IROS</stitle><date>2007-10</date><risdate>2007</risdate><spage>3509</spage><epage>3514</epage><pages>3509-3514</pages><issn>2153-0858</issn><eissn>2153-0866</eissn><isbn>9781424409112</isbn><isbn>142440911X</isbn><eisbn>1424409128</eisbn><eisbn>9781424409129</eisbn><abstract>Conventional approaches for collision avoidance often use the gradient projection method on minimum distance function. This paper discusses several shortcomings to draw special attention when it is applied to avoid collision with multiple obstacles. As a remedy to the identified problems, a novel method of collision avoidance based on Jacobian transpose method is proposed, which does not require to calculate the gradient of the minimum distance function, hence resulting in a computationally simple algorithm. In addition, an efficient collision detection algorithm for all possible spatial as well as planar configurations is presented. Simulation results with a four Degrees of Freedom planar manipulator are given to illustrate the several shortcomings of conventional methods and to validate the proposed method.</abstract><pub>IEEE</pub><doi>10.1109/IROS.2007.4399182</doi><tpages>6</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 2153-0858
ispartof 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007, p.3509-3514
issn 2153-0858
2153-0866
language eng
recordid cdi_ieee_primary_4399182
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Collision avoidance
Detection algorithms
Intelligent robots
Jacobian matrices
Kinematics
Manipulators
Mobile robots
Path planning
Production facilities
Robotic assembly
title Obstacle avoidance for redundant robots using Jacobian transpose method
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T03%3A28%3A58IST&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=Obstacle%20avoidance%20for%20redundant%20robots%20using%20Jacobian%20transpose%20method&rft.btitle=2007%20IEEE/RSJ%20International%20Conference%20on%20Intelligent%20Robots%20and%20Systems&rft.au=Kwang-Kyu%20Lee&rft.date=2007-10&rft.spage=3509&rft.epage=3514&rft.pages=3509-3514&rft.issn=2153-0858&rft.eissn=2153-0866&rft.isbn=9781424409112&rft.isbn_list=142440911X&rft_id=info:doi/10.1109/IROS.2007.4399182&rft_dat=%3Cieee_6IE%3E4399182%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1424409128&rft.eisbn_list=9781424409129&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=4399182&rfr_iscdi=true