New P-type RMPC Scheme for Redundant Robot Manipulators in Noisy Environment
Repetitive motion planning and control (RMPC) is a significant issue in the research of redundant robot manipulators. Moreover, noise from rounding error, truncation error, and robot uncertainty is an important factor that greatly affects RMPC schemes. In this study, the RMPC of redundant robot mani...
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Veröffentlicht in: | Robotica 2020-05, Vol.38 (5), p.775-786 |
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description | Repetitive motion planning and control (RMPC) is a significant issue in the research of redundant robot manipulators. Moreover, noise from rounding error, truncation error, and robot uncertainty is an important factor that greatly affects RMPC schemes. In this study, the RMPC of redundant robot manipulators in a noisy environment is investigated. By incorporating the proportional and integral information of the desired path, a new RMPC scheme with pseudoinverse-type (P-type) formulation is proposed. Such a P-type RMPC scheme possesses the suppression of constant and bounded time-varying noises. Comparative simulation results based on a five-link robot manipulator and a PUMA560 robot manipulator are presented to further validate the effectiveness and superiority of the proposed P-type RMPC scheme over the previous one. |
doi_str_mv | 10.1017/S0263574719001036 |
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Moreover, noise from rounding error, truncation error, and robot uncertainty is an important factor that greatly affects RMPC schemes. In this study, the RMPC of redundant robot manipulators in a noisy environment is investigated. By incorporating the proportional and integral information of the desired path, a new RMPC scheme with pseudoinverse-type (P-type) formulation is proposed. Such a P-type RMPC scheme possesses the suppression of constant and bounded time-varying noises. Comparative simulation results based on a five-link robot manipulator and a PUMA560 robot manipulator are presented to further validate the effectiveness and superiority of the proposed P-type RMPC scheme over the previous one.</description><identifier>ISSN: 0263-5747</identifier><identifier>EISSN: 1469-8668</identifier><identifier>DOI: 10.1017/S0263574719001036</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Manipulators ; Motion planning ; Redundancy ; Robot arms ; Robots ; Rounding ; Truncation errors</subject><ispartof>Robotica, 2020-05, Vol.38 (5), p.775-786</ispartof><rights>Copyright © Cambridge University Press 2019</rights><rights>Copyright Cambridge University Press May 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c317t-60941f0c795c158ee2db28794c7476206cd0f6f40f2fbe0b4f421709a11657c03</citedby><cites>FETCH-LOGICAL-c317t-60941f0c795c158ee2db28794c7476206cd0f6f40f2fbe0b4f421709a11657c03</cites><orcidid>0000-0002-9236-229X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S0263574719001036/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>164,314,776,780,27901,27902,55603</link.rule.ids></links><search><creatorcontrib>Li, Zexin</creatorcontrib><creatorcontrib>Xu, Feng</creatorcontrib><creatorcontrib>Guo, Dongsheng</creatorcontrib><creatorcontrib>Wang, Pingjiang</creatorcontrib><creatorcontrib>Yuan, Bo</creatorcontrib><title>New P-type RMPC Scheme for Redundant Robot Manipulators in Noisy Environment</title><title>Robotica</title><addtitle>Robotica</addtitle><description>Repetitive motion planning and control (RMPC) is a significant issue in the research of redundant robot manipulators. 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Comparative simulation results based on a five-link robot manipulator and a PUMA560 robot manipulator are presented to further validate the effectiveness and superiority of the proposed P-type RMPC scheme over the previous one.</description><subject>Manipulators</subject><subject>Motion planning</subject><subject>Redundancy</subject><subject>Robot arms</subject><subject>Robots</subject><subject>Rounding</subject><subject>Truncation errors</subject><issn>0263-5747</issn><issn>1469-8668</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kM1OwzAQhC0EEqXwANwscQ7sOo6dHFFVfqS2VC2co8SxIVVjBzsB9e1J1UocEKc9zHwzqyHkGuEWAeXdGpiIE8klZgAIsTghI-Qii1Ih0lMy2svRXj8nFyFsBk-MXI7IbKG_6TLqdq2mq_lyQtfqQzeaGufpSle9rQrb0ZUrXUfnha3bflt0zgdaW7pwddjRqf2qvbONtt0lOTPFNuir4x2Tt4fp6-Qpmr08Pk_uZ5GKUXaRgIyjASWzRGGSas2qkqUy42r4TzAQqgIjDAfDTKmh5IYzlJAViCKRCuIxuTnktt599jp0-cb13g6VOYtTjjJlgg8uPLiUdyF4bfLW103hdzlCvh8t_zPawMRHpmhKX1fv-jf6f-oHYTRsKA</recordid><startdate>202005</startdate><enddate>202005</enddate><creator>Li, Zexin</creator><creator>Xu, Feng</creator><creator>Guo, Dongsheng</creator><creator>Wang, Pingjiang</creator><creator>Yuan, Bo</creator><general>Cambridge University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>7XB</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-9236-229X</orcidid></search><sort><creationdate>202005</creationdate><title>New P-type RMPC Scheme for Redundant Robot Manipulators in Noisy Environment</title><author>Li, Zexin ; Xu, Feng ; Guo, Dongsheng ; Wang, Pingjiang ; Yuan, Bo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c317t-60941f0c795c158ee2db28794c7476206cd0f6f40f2fbe0b4f421709a11657c03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Manipulators</topic><topic>Motion planning</topic><topic>Redundancy</topic><topic>Robot arms</topic><topic>Robots</topic><topic>Rounding</topic><topic>Truncation errors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Zexin</creatorcontrib><creatorcontrib>Xu, Feng</creatorcontrib><creatorcontrib>Guo, Dongsheng</creatorcontrib><creatorcontrib>Wang, Pingjiang</creatorcontrib><creatorcontrib>Yuan, Bo</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Computing Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Engineering 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>Computing Database</collection><collection>ProQuest Engineering Database</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</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>Engineering collection</collection><collection>ProQuest Central Basic</collection><jtitle>Robotica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Zexin</au><au>Xu, Feng</au><au>Guo, Dongsheng</au><au>Wang, Pingjiang</au><au>Yuan, Bo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>New P-type RMPC Scheme for Redundant Robot Manipulators in Noisy Environment</atitle><jtitle>Robotica</jtitle><addtitle>Robotica</addtitle><date>2020-05</date><risdate>2020</risdate><volume>38</volume><issue>5</issue><spage>775</spage><epage>786</epage><pages>775-786</pages><issn>0263-5747</issn><eissn>1469-8668</eissn><abstract>Repetitive motion planning and control (RMPC) is a significant issue in the research of redundant robot manipulators. Moreover, noise from rounding error, truncation error, and robot uncertainty is an important factor that greatly affects RMPC schemes. In this study, the RMPC of redundant robot manipulators in a noisy environment is investigated. By incorporating the proportional and integral information of the desired path, a new RMPC scheme with pseudoinverse-type (P-type) formulation is proposed. Such a P-type RMPC scheme possesses the suppression of constant and bounded time-varying noises. Comparative simulation results based on a five-link robot manipulator and a PUMA560 robot manipulator are presented to further validate the effectiveness and superiority of the proposed P-type RMPC scheme over the previous one.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><doi>10.1017/S0263574719001036</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-9236-229X</orcidid></addata></record> |
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subjects | Manipulators Motion planning Redundancy Robot arms Robots Rounding Truncation errors |
title | New P-type RMPC Scheme for Redundant Robot Manipulators in Noisy Environment |
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