{"id":"https://openalex.org/W1526486442","doi":"https://doi.org/10.1109/ccece.2015.7129503","title":"Workspace trajectory control of flexible robot manipulators using neural network and visual sensor feedback","display_name":"Workspace trajectory control of flexible robot manipulators using neural network and visual sensor feedback","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1526486442","doi":"https://doi.org/10.1109/ccece.2015.7129503","mag":"1526486442"},"language":"en","primary_location":{"id":"doi:10.1109/ccece.2015.7129503","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece.2015.7129503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013235835","display_name":"Zhaohui Jiang","orcid":"https://orcid.org/0000-0002-4861-5819"},"institutions":[{"id":"https://openalex.org/I139084617","display_name":"Hiroshima Institute of Technology","ror":"https://ror.org/02bwkwm60","country_code":"JP","type":"education","lineage":["https://openalex.org/I139084617"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Zhao-Hui Jiang","raw_affiliation_strings":["Department of Mechanical Systems Eng, Hiroshima Institute of Technology, Hiroshima, Japan","Department of Mechanical Systems Engineering, Hiroshima Institute of Technology, Hiroshima 731-5193, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Systems Eng, Hiroshima Institute of Technology, Hiroshima, Japan","institution_ids":["https://openalex.org/I139084617"]},{"raw_affiliation_string":"Department of Mechanical Systems Engineering, Hiroshima Institute of Technology, Hiroshima 731-5193, Japan","institution_ids":["https://openalex.org/I139084617"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5013235835"],"corresponding_institution_ids":["https://openalex.org/I139084617"],"apc_list":null,"apc_paid":null,"fwci":0.4828,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.50240205,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1502","last_page":"1507"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11394","display_name":"Dynamics and Control of Mechanical Systems","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11394","display_name":"Dynamics and Control of Mechanical Systems","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10571","display_name":"Robotic Mechanisms and Dynamics","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11749","display_name":"Iterative Learning Control Systems","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/workspace","display_name":"Workspace","score":0.802621603012085},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.6844152212142944},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.6796425580978394},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.6131505966186523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5953627228736877},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5950780510902405},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5693265795707703},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5236677527427673},{"id":"https://openalex.org/keywords/torque","display_name":"Torque","score":0.5114761590957642},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.4849686622619629},{"id":"https://openalex.org/keywords/robot-control","display_name":"Robot control","score":0.4690098464488983},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4659709930419922},{"id":"https://openalex.org/keywords/robot-end-effector","display_name":"Robot end effector","score":0.4616270363330841},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39717596769332886},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.31484103202819824},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.24587848782539368},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.2333781123161316}],"concepts":[{"id":"https://openalex.org/C58581272","wikidata":"https://www.wikidata.org/wiki/Q12741163","display_name":"Workspace","level":3,"score":0.802621603012085},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.6844152212142944},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.6796425580978394},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.6131505966186523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5953627228736877},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5950780510902405},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5693265795707703},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5236677527427673},{"id":"https://openalex.org/C144171764","wikidata":"https://www.wikidata.org/wiki/Q48103","display_name":"Torque","level":2,"score":0.5114761590957642},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4849686622619629},{"id":"https://openalex.org/C65401140","wikidata":"https://www.wikidata.org/wiki/Q7353385","display_name":"Robot control","level":4,"score":0.4690098464488983},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4659709930419922},{"id":"https://openalex.org/C8652668","wikidata":"https://www.wikidata.org/wiki/Q1340324","display_name":"Robot end effector","level":3,"score":0.4616270363330841},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39717596769332886},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.31484103202819824},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.24587848782539368},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.2333781123161316},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccece.2015.7129503","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece.2015.7129503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1550138099","https://openalex.org/W1990671982","https://openalex.org/W1994031680","https://openalex.org/W2004270347","https://openalex.org/W2049944496","https://openalex.org/W2056661572","https://openalex.org/W2095035710","https://openalex.org/W2109580758","https://openalex.org/W2163060051","https://openalex.org/W2170782262"],"related_works":["https://openalex.org/W1964490400","https://openalex.org/W1968518598","https://openalex.org/W229301543","https://openalex.org/W3117511302","https://openalex.org/W2914399220","https://openalex.org/W1979819035","https://openalex.org/W1854444597","https://openalex.org/W2139206564","https://openalex.org/W4242231179","https://openalex.org/W3204696515"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,46,64,74,91,122,127],"issue":[4],"of":[5,10,34,73,81,93,102,126],"workspace":[6],"trajectory":[7,104],"tracking":[8,105],"control":[9,15,20,25,29,65,75,106,129],"flexible":[11,113],"robot":[12,38,114],"manipulators.":[13],"A":[14,77],"strategy":[16],"integrated":[17],"with":[18,56,67],"computed-torque-like":[19],"scheme,":[21,26],"link":[22,97],"vibration":[23],"suppressing":[24],"and":[27,39,85,96,100,124],"learning":[28,52,68],"scheme":[30],"is":[31,54,88],"proposed.":[32],"Dynamics":[33],"a":[35,57,82,111,117],"virtual":[36],"rigid":[37],"vision":[40,78],"feedback":[41],"are":[42,107],"used":[43,89],"to":[44,62],"construct":[45],"computed":[47],"torque":[48],"like":[49],"controller.":[50],"The":[51,119],"controller":[53],"designed":[55],"multilayer":[58],"feedforward":[59],"neural":[60],"network":[61],"provide":[63],"system":[66,79,115],"ability":[69],"for":[70,90],"improving":[71],"performance":[72],"system.":[76],"consisting":[80],"CCD":[83],"camera":[84],"video":[86],"tracker":[87],"measuring":[92],"end-effector":[94,103],"position":[95],"deflections.":[98],"Simulations":[99],"experiments":[101],"carried":[108],"out":[109],"using":[110],"2-link":[112],"as":[116],"testbed.":[118],"results":[120],"confirm":[121],"effectiveness":[123],"usefulness":[125],"proposed":[128],"strategy.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}