{"id":"https://openalex.org/W2586230318","doi":"https://doi.org/10.1109/smc.2016.7844711","title":"PSO and neural network based intelligent posture calibration method for robot arm","display_name":"PSO and neural network based intelligent posture calibration method for robot arm","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2586230318","doi":"https://doi.org/10.1109/smc.2016.7844711","mag":"2586230318"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2016.7844711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"article","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/A5061491967","display_name":"Ping\u2010Huan Kuo","orcid":"https://orcid.org/0000-0001-5125-4420"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ping-Huan Kuo","raw_affiliation_strings":["Department of Electrical Engineering, National Cheng Kung University, Tainan City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Cheng Kung University, Tainan City, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075878726","display_name":"Guan-Hong Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Guan-Hong Liu","raw_affiliation_strings":["Department of Electrical Engineering, National Cheng Kung University, Tainan City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Cheng Kung University, Tainan City, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103733920","display_name":"Ya-Fang Ho","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ya-Fang Ho","raw_affiliation_strings":["Department of Electrical Engineering, National Cheng Kung University, Tainan City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Cheng Kung University, Tainan City, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051865874","display_name":"Tzuu\u2010Hseng S. Li","orcid":"https://orcid.org/0000-0001-6194-330X"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tzuu-Hseng S. Li","raw_affiliation_strings":["Department of Electrical Engineering, National Cheng Kung University, Tainan City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Cheng Kung University, Tainan City, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8902,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.87510878,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"003095","last_page":"003100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10571","display_name":"Robotic Mechanisms and Dynamics","score":0.9901999831199646,"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/T10571","display_name":"Robotic Mechanisms and Dynamics","score":0.9901999831199646,"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/T11687","display_name":"Teleoperation and Haptic Systems","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inverse-kinematics","display_name":"Inverse kinematics","score":0.722454309463501},{"id":"https://openalex.org/keywords/robot-calibration","display_name":"Robot calibration","score":0.6891853213310242},{"id":"https://openalex.org/keywords/robotic-arm","display_name":"Robotic arm","score":0.6743226051330566},{"id":"https://openalex.org/keywords/arm-solution","display_name":"Arm solution","score":0.6661969423294067},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6554406881332397},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.64919513463974},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.647789716720581},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.5390568971633911},{"id":"https://openalex.org/keywords/robot-kinematics","display_name":"Robot kinematics","score":0.5351273417472839},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5299903750419617},{"id":"https://openalex.org/keywords/robot-control","display_name":"Robot control","score":0.4980604648590088},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4590979218482971},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.447440505027771},{"id":"https://openalex.org/keywords/robot-end-effector","display_name":"Robot end effector","score":0.4367888569831848},{"id":"https://openalex.org/keywords/forward-kinematics","display_name":"Forward kinematics","score":0.42137160897254944},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3374047875404358},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.33074134588241577},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3262374997138977},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.27304232120513916},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21849441528320312},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09592130780220032},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08621543645858765}],"concepts":[{"id":"https://openalex.org/C17816587","wikidata":"https://www.wikidata.org/wiki/Q1501872","display_name":"Inverse kinematics","level":3,"score":0.722454309463501},{"id":"https://openalex.org/C192299074","wikidata":"https://www.wikidata.org/wiki/Q2160034","display_name":"Robot calibration","level":5,"score":0.6891853213310242},{"id":"https://openalex.org/C150415221","wikidata":"https://www.wikidata.org/wiki/Q40687","display_name":"Robotic arm","level":2,"score":0.6743226051330566},{"id":"https://openalex.org/C25592040","wikidata":"https://www.wikidata.org/wiki/Q3562730","display_name":"Arm solution","level":5,"score":0.6661969423294067},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6554406881332397},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.64919513463974},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.647789716720581},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.5390568971633911},{"id":"https://openalex.org/C74222875","wikidata":"https://www.wikidata.org/wiki/Q16000312","display_name":"Robot kinematics","level":4,"score":0.5351273417472839},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5299903750419617},{"id":"https://openalex.org/C65401140","wikidata":"https://www.wikidata.org/wiki/Q7353385","display_name":"Robot control","level":4,"score":0.4980604648590088},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4590979218482971},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.447440505027771},{"id":"https://openalex.org/C8652668","wikidata":"https://www.wikidata.org/wiki/Q1340324","display_name":"Robot end effector","level":3,"score":0.4367888569831848},{"id":"https://openalex.org/C160970401","wikidata":"https://www.wikidata.org/wiki/Q1423222","display_name":"Forward kinematics","level":4,"score":0.42137160897254944},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3374047875404358},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.33074134588241577},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3262374997138977},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.27304232120513916},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21849441528320312},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09592130780220032},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08621543645858765},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2016.7844711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1536736031","https://openalex.org/W1590874898","https://openalex.org/W1969422736","https://openalex.org/W1970054848","https://openalex.org/W1974398591","https://openalex.org/W1975186691","https://openalex.org/W1984689803","https://openalex.org/W1996287559","https://openalex.org/W2013885787","https://openalex.org/W2020516535","https://openalex.org/W2021860316","https://openalex.org/W2035320722","https://openalex.org/W2049450500","https://openalex.org/W2050953018","https://openalex.org/W2060869521","https://openalex.org/W2063958563","https://openalex.org/W2075207574","https://openalex.org/W2077590757","https://openalex.org/W2081859122","https://openalex.org/W2086163154","https://openalex.org/W2088574555","https://openalex.org/W2089548637","https://openalex.org/W2102568724","https://openalex.org/W2103132415","https://openalex.org/W2106386398","https://openalex.org/W2107941094","https://openalex.org/W2116086091","https://openalex.org/W2141725066","https://openalex.org/W2143560894","https://openalex.org/W2162125251","https://openalex.org/W2165356663","https://openalex.org/W2189623837","https://openalex.org/W2196910143","https://openalex.org/W2204238453","https://openalex.org/W2247116885","https://openalex.org/W2247166775","https://openalex.org/W2247854918","https://openalex.org/W2264983721","https://openalex.org/W2278910568","https://openalex.org/W2282752563","https://openalex.org/W2286179039","https://openalex.org/W2306429512","https://openalex.org/W2313259239","https://openalex.org/W2333248310","https://openalex.org/W2543580944","https://openalex.org/W4250503569","https://openalex.org/W4292083457","https://openalex.org/W6682642761","https://openalex.org/W6684099985","https://openalex.org/W6693582603"],"related_works":["https://openalex.org/W3016367173","https://openalex.org/W3040474838","https://openalex.org/W2139206564","https://openalex.org/W2154286641","https://openalex.org/W3129004068","https://openalex.org/W3047523153","https://openalex.org/W3041898164","https://openalex.org/W339676884","https://openalex.org/W2124086581","https://openalex.org/W2304947037"],"abstract_inverted_index":{"Inverse":[0],"kinematics":[1,105],"is":[2,50],"a":[3],"general":[4],"method":[5,16,76,133],"for":[6,26,77],"defining":[7],"the":[8,12,23,30,34,38,47,52,55,59,78,82,88,95,104,107,115,123,131,138],"joint":[9],"angles":[10],"of":[11,37,54,58,81,106,130],"robot":[13,24,39,60,83,108],"arm.":[14,84,109],"This":[15],"provides":[17],"an":[18,74],"efficient":[19],"way":[20],"to":[21,67,102],"control":[22,116],"arm":[25,40,61],"several":[27],"tasks.":[28],"However,":[29],"server":[31],"motors":[32],"or":[33],"mechanism":[35],"design":[36],"may":[41],"not":[42],"always":[43],"be":[44,63,119],"ideal.":[45],"If":[46],"motor":[48],"consumption":[49],"existed,":[51],"error":[53,117],"final":[56],"position":[57],"will":[62],"increased.":[64],"In":[65,85],"order":[66],"solve":[68],"this":[69,71,86],"problem,":[70],"paper":[72],"proposes":[73],"intelligent":[75],"posture":[79],"calibration":[80],"paper,":[87],"particle":[89],"swarm":[90],"optimization":[91],"(PSO)":[92],"algorithm":[93],"and":[94,128],"proposed":[96,124,132],"neural":[97],"network":[98],"model":[99],"are":[100,134],"integrated":[101],"calibrate":[103],"The":[110,126],"experimental":[111],"results":[112],"show":[113],"that":[114],"can":[118],"reduced":[120],"by":[121],"applying":[122],"method.":[125],"feasibility":[127],"practicality":[129],"also":[135],"validated":[136],"in":[137],"experiments.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
