A trajectory planning of redundant manipulators based on bilevel optimization

In this paper, a novel trajectory planning approach is proposed for redundant manipulators in the case of several obstacles. The trajectory is discretized and at each step, we search for a new position of the end effector in the Cartesian space to reach the final position. Because of the redundancy,...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Applied mathematics and computation 2015-01, Vol.250, p.934-947
Hauptverfasser: Menasri, R., Nakib, A., Daachi, B., Oulhadj, H., Siarry, P.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 947
container_issue
container_start_page 934
container_title Applied mathematics and computation
container_volume 250
creator Menasri, R.
Nakib, A.
Daachi, B.
Oulhadj, H.
Siarry, P.
description In this paper, a novel trajectory planning approach is proposed for redundant manipulators in the case of several obstacles. The trajectory is discretized and at each step, we search for a new position of the end effector in the Cartesian space to reach the final position. Because of the redundancy, this position can be achieved by an infinity of configurations in the joint space. Thus, we use this property to find the best configuration that allows to avoid obstacles and singularities of the robot. The proposed method is based on a bilevel optimization formulation of the problem and bi-genetic algorithm to solve it. In order to avoid obstacles, we also proposed to manage constraints of the problem dynamically. This technique adapts the number of constraints in the formulation of the problem with the position of the obstacles. Simulation results showed the effectiveness of the proposed method.
doi_str_mv 10.1016/j.amc.2014.10.101
format Article
fullrecord <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_01538502v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0096300314014763</els_id><sourcerecordid>1669847082</sourcerecordid><originalsourceid>FETCH-LOGICAL-c364t-e882dff5494d411611e67b60d40a13fa295f1b0cdc20ed7063fd06cdaf4531043</originalsourceid><addsrcrecordid>eNp9kEFr3DAQhUVpoNs0P6A3HduDtzOWLNv0tISmKWzIpTkLrTRqtdiSK3kXkl9fLw499jTw-N6D-Rj7iLBFQPXluDWj3daAcrtGb9gGu1ZUjZL9W7YB6FUlAMQ79r6UIwC0CuWGPez4nM2R7JzyM58GE2OIv3jyPJM7RWfizEcTw3QazIIUfjCFHE-RH8JAZxp4muYwhhczhxQ_sCtvhkI3r_eaPd19-3l7X-0fv_-43e0rK5ScK-q62nnfyF46iagQSbUHBU6CQeFN3TceD2CdrYFcC0p4B8o642UjEKS4Zp_X3d9m0FMOo8nPOpmg73d7fckAG9E1UJ9xYT-t7JTTnxOVWY-hWBqWVymdikal-k620NULiitqcyolk_-3jaAvmvVRL5r1RfNrtHS-rh1a_j0HyrrYQNGSC3mxql0K_2n_BTDxhMI</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1669847082</pqid></control><display><type>article</type><title>A trajectory planning of redundant manipulators based on bilevel optimization</title><source>Access via ScienceDirect (Elsevier)</source><creator>Menasri, R. ; Nakib, A. ; Daachi, B. ; Oulhadj, H. ; Siarry, P.</creator><creatorcontrib>Menasri, R. ; Nakib, A. ; Daachi, B. ; Oulhadj, H. ; Siarry, P.</creatorcontrib><description>In this paper, a novel trajectory planning approach is proposed for redundant manipulators in the case of several obstacles. The trajectory is discretized and at each step, we search for a new position of the end effector in the Cartesian space to reach the final position. Because of the redundancy, this position can be achieved by an infinity of configurations in the joint space. Thus, we use this property to find the best configuration that allows to avoid obstacles and singularities of the robot. The proposed method is based on a bilevel optimization formulation of the problem and bi-genetic algorithm to solve it. In order to avoid obstacles, we also proposed to manage constraints of the problem dynamically. This technique adapts the number of constraints in the formulation of the problem with the position of the obstacles. Simulation results showed the effectiveness of the proposed method.</description><identifier>ISSN: 0096-3003</identifier><identifier>EISSN: 1873-5649</identifier><identifier>DOI: 10.1016/j.amc.2014.10.101</identifier><language>eng</language><publisher>Elsevier Inc</publisher><subject>Automatic Control Engineering ; Bi-genetic algorithm ; Bilevel optimization ; Computer Science ; Manipulators ; Mathematical analysis ; Obstacles ; Optimization ; Redundant ; Redundant manipulators ; Robot arms ; Robotics ; Robots ; Searching ; Trajectory planning</subject><ispartof>Applied mathematics and computation, 2015-01, Vol.250, p.934-947</ispartof><rights>2014 Elsevier Inc.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c364t-e882dff5494d411611e67b60d40a13fa295f1b0cdc20ed7063fd06cdaf4531043</citedby><cites>FETCH-LOGICAL-c364t-e882dff5494d411611e67b60d40a13fa295f1b0cdc20ed7063fd06cdaf4531043</cites><orcidid>0000-0001-9620-9324</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.amc.2014.10.101$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,4024,27923,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://hal.science/hal-01538502$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Menasri, R.</creatorcontrib><creatorcontrib>Nakib, A.</creatorcontrib><creatorcontrib>Daachi, B.</creatorcontrib><creatorcontrib>Oulhadj, H.</creatorcontrib><creatorcontrib>Siarry, P.</creatorcontrib><title>A trajectory planning of redundant manipulators based on bilevel optimization</title><title>Applied mathematics and computation</title><description>In this paper, a novel trajectory planning approach is proposed for redundant manipulators in the case of several obstacles. The trajectory is discretized and at each step, we search for a new position of the end effector in the Cartesian space to reach the final position. Because of the redundancy, this position can be achieved by an infinity of configurations in the joint space. Thus, we use this property to find the best configuration that allows to avoid obstacles and singularities of the robot. The proposed method is based on a bilevel optimization formulation of the problem and bi-genetic algorithm to solve it. In order to avoid obstacles, we also proposed to manage constraints of the problem dynamically. This technique adapts the number of constraints in the formulation of the problem with the position of the obstacles. Simulation results showed the effectiveness of the proposed method.</description><subject>Automatic Control Engineering</subject><subject>Bi-genetic algorithm</subject><subject>Bilevel optimization</subject><subject>Computer Science</subject><subject>Manipulators</subject><subject>Mathematical analysis</subject><subject>Obstacles</subject><subject>Optimization</subject><subject>Redundant</subject><subject>Redundant manipulators</subject><subject>Robot arms</subject><subject>Robotics</subject><subject>Robots</subject><subject>Searching</subject><subject>Trajectory planning</subject><issn>0096-3003</issn><issn>1873-5649</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNp9kEFr3DAQhUVpoNs0P6A3HduDtzOWLNv0tISmKWzIpTkLrTRqtdiSK3kXkl9fLw499jTw-N6D-Rj7iLBFQPXluDWj3daAcrtGb9gGu1ZUjZL9W7YB6FUlAMQ79r6UIwC0CuWGPez4nM2R7JzyM58GE2OIv3jyPJM7RWfizEcTw3QazIIUfjCFHE-RH8JAZxp4muYwhhczhxQ_sCtvhkI3r_eaPd19-3l7X-0fv_-43e0rK5ScK-q62nnfyF46iagQSbUHBU6CQeFN3TceD2CdrYFcC0p4B8o642UjEKS4Zp_X3d9m0FMOo8nPOpmg73d7fckAG9E1UJ9xYT-t7JTTnxOVWY-hWBqWVymdikal-k620NULiitqcyolk_-3jaAvmvVRL5r1RfNrtHS-rh1a_j0HyrrYQNGSC3mxql0K_2n_BTDxhMI</recordid><startdate>20150101</startdate><enddate>20150101</enddate><creator>Menasri, R.</creator><creator>Nakib, A.</creator><creator>Daachi, B.</creator><creator>Oulhadj, H.</creator><creator>Siarry, P.</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0001-9620-9324</orcidid></search><sort><creationdate>20150101</creationdate><title>A trajectory planning of redundant manipulators based on bilevel optimization</title><author>Menasri, R. ; Nakib, A. ; Daachi, B. ; Oulhadj, H. ; Siarry, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-e882dff5494d411611e67b60d40a13fa295f1b0cdc20ed7063fd06cdaf4531043</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Automatic Control Engineering</topic><topic>Bi-genetic algorithm</topic><topic>Bilevel optimization</topic><topic>Computer Science</topic><topic>Manipulators</topic><topic>Mathematical analysis</topic><topic>Obstacles</topic><topic>Optimization</topic><topic>Redundant</topic><topic>Redundant manipulators</topic><topic>Robot arms</topic><topic>Robotics</topic><topic>Robots</topic><topic>Searching</topic><topic>Trajectory planning</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Menasri, R.</creatorcontrib><creatorcontrib>Nakib, A.</creatorcontrib><creatorcontrib>Daachi, B.</creatorcontrib><creatorcontrib>Oulhadj, H.</creatorcontrib><creatorcontrib>Siarry, P.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</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>Hyper Article en Ligne (HAL)</collection><jtitle>Applied mathematics and computation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Menasri, R.</au><au>Nakib, A.</au><au>Daachi, B.</au><au>Oulhadj, H.</au><au>Siarry, P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A trajectory planning of redundant manipulators based on bilevel optimization</atitle><jtitle>Applied mathematics and computation</jtitle><date>2015-01-01</date><risdate>2015</risdate><volume>250</volume><spage>934</spage><epage>947</epage><pages>934-947</pages><issn>0096-3003</issn><eissn>1873-5649</eissn><abstract>In this paper, a novel trajectory planning approach is proposed for redundant manipulators in the case of several obstacles. The trajectory is discretized and at each step, we search for a new position of the end effector in the Cartesian space to reach the final position. Because of the redundancy, this position can be achieved by an infinity of configurations in the joint space. Thus, we use this property to find the best configuration that allows to avoid obstacles and singularities of the robot. The proposed method is based on a bilevel optimization formulation of the problem and bi-genetic algorithm to solve it. In order to avoid obstacles, we also proposed to manage constraints of the problem dynamically. This technique adapts the number of constraints in the formulation of the problem with the position of the obstacles. Simulation results showed the effectiveness of the proposed method.</abstract><pub>Elsevier Inc</pub><doi>10.1016/j.amc.2014.10.101</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0001-9620-9324</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0096-3003
ispartof Applied mathematics and computation, 2015-01, Vol.250, p.934-947
issn 0096-3003
1873-5649
language eng
recordid cdi_hal_primary_oai_HAL_hal_01538502v1
source Access via ScienceDirect (Elsevier)
subjects Automatic Control Engineering
Bi-genetic algorithm
Bilevel optimization
Computer Science
Manipulators
Mathematical analysis
Obstacles
Optimization
Redundant
Redundant manipulators
Robot arms
Robotics
Robots
Searching
Trajectory planning
title A trajectory planning of redundant manipulators based on bilevel optimization
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T17%3A50%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20trajectory%20planning%20of%20redundant%20manipulators%20based%20on%20bilevel%20optimization&rft.jtitle=Applied%20mathematics%20and%20computation&rft.au=Menasri,%20R.&rft.date=2015-01-01&rft.volume=250&rft.spage=934&rft.epage=947&rft.pages=934-947&rft.issn=0096-3003&rft.eissn=1873-5649&rft_id=info:doi/10.1016/j.amc.2014.10.101&rft_dat=%3Cproquest_hal_p%3E1669847082%3C/proquest_hal_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1669847082&rft_id=info:pmid/&rft_els_id=S0096300314014763&rfr_iscdi=true