{"id":"https://openalex.org/W3213330088","doi":"https://doi.org/10.1109/iciscae52414.2021.9590645","title":"Intelligent Grasping Method of Multi-joint Manipulator Based on Deep Learning","display_name":"Intelligent Grasping Method of Multi-joint Manipulator Based on Deep Learning","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W3213330088","doi":"https://doi.org/10.1109/iciscae52414.2021.9590645","mag":"3213330088"},"language":"en","primary_location":{"id":"doi:10.1109/iciscae52414.2021.9590645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciscae52414.2021.9590645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)","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/A5071360574","display_name":"Lihua Dai","orcid":"https://orcid.org/0000-0003-4087-6288"},"institutions":[{"id":"https://openalex.org/I4210096047","display_name":"Yantai Automobile Engineering Professional College","ror":"https://ror.org/00sh5y950","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096047"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Dai","raw_affiliation_strings":["Yantai Vocational College Automobile & Ship Engineering Department, Yantai, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yantai Vocational College Automobile & Ship Engineering Department, Yantai, Shandong, China","institution_ids":["https://openalex.org/I4210096047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102768008","display_name":"Qingqing Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096047","display_name":"Yantai Automobile Engineering Professional College","ror":"https://ror.org/00sh5y950","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096047"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingqing Shi","raw_affiliation_strings":["Yantai Vocational College Automobile & Ship Engineering Department, Yantai, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yantai Vocational College Automobile & Ship Engineering Department, Yantai, Shandong, China","institution_ids":["https://openalex.org/I4210096047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210096047"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"483","issue":null,"first_page":"394","last_page":"398"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9369999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9369999766349792,"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"}},{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9254999756813049,"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/grasp","display_name":"GRASP","score":0.7816247344017029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.781326413154602},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7139189839363098},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6056865453720093},{"id":"https://openalex.org/keywords/robotic-arm","display_name":"Robotic arm","score":0.6010807752609253},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5916543006896973},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5510818362236023},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.533108115196228},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5174803733825684},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48201337456703186},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4753294289112091},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.4354623556137085},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4114888906478882},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22871404886245728}],"concepts":[{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.7816247344017029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.781326413154602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7139189839363098},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6056865453720093},{"id":"https://openalex.org/C150415221","wikidata":"https://www.wikidata.org/wiki/Q40687","display_name":"Robotic arm","level":2,"score":0.6010807752609253},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5916543006896973},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5510818362236023},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.533108115196228},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5174803733825684},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48201337456703186},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4753294289112091},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.4354623556137085},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4114888906478882},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22871404886245728},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciscae52414.2021.9590645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciscae52414.2021.9590645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W4231960943"],"related_works":["https://openalex.org/W2163296013","https://openalex.org/W165915117","https://openalex.org/W2326995835","https://openalex.org/W2743859443","https://openalex.org/W2059402478","https://openalex.org/W2123347777","https://openalex.org/W4387804363","https://openalex.org/W2477150073","https://openalex.org/W2964954556","https://openalex.org/W3019910406"],"abstract_inverted_index":{"Mechanical":[0],"arm":[1,21,32,78],"is":[2,14,84,131,148],"widely":[3],"used":[4],"in":[5,22,99],"various":[6],"fields":[7],"of":[8,19,38,50,63,89,104,137,144,167],"industrial":[9],"production,":[10],"and":[11,42,70,82,139,180],"grasping":[12,27,57,102,142],"operation":[13],"the":[15,30,36,39,48,51,56,61,76,85,100,114,121,135,157],"most":[16],"common":[17],"application":[18],"mechanical":[20,72,77,90],"assembly":[23],"line":[24],"operation.":[25],"When":[26],"an":[28,164,174],"object,":[29],"robot":[31],"should":[33],"first":[34],"acquire":[35],"position":[37,49,143],"target":[40,52],"object":[41,53,147],"adjust":[43],"its":[44],"posture":[45],"according":[46],"to":[47,54,79],"complete":[55],"task.":[58],"At":[59],"present,":[60],"construction":[62],"hand-eye":[64],"system":[65,103],"based":[66,95,133],"on":[67,96,134],"depth":[68,128,153],"camera":[69],"traditional":[71],"arm,":[73],"which":[74],"enables":[75],"grasp":[80],"intelligently":[81],"autonomously,":[83],"mainstream":[86],"development":[87],"trend":[88],"arm.":[91],"The":[92],"visual":[93,101],"recognition":[94,111,122],"deep":[97,115,170],"learning":[98,171],"multi-joint":[105,158,178],"manipulator":[106,159,179],"can":[107,160,172],"realize":[108],"rapid":[109],"multi-target":[110],"by":[112],"training":[113],"convolution":[116],"neural":[117,129],"network":[118,130],"without":[119],"changing":[120],"algorithm.":[123],"In":[124],"this":[125],"paper,":[126],"a":[127,140,145,151],"built":[132],"idea":[136],"regression,":[138],"reliable":[141],"non-specific":[146],"obtained":[149],"from":[150],"given":[152],"image,":[154],"so":[155],"that":[156],"further":[161],"grasp.":[162],"As":[163],"important":[165],"part":[166],"machine":[168],"learning,":[169],"establish":[173],"interactive":[175],"relationship":[176],"between":[177],"complex":[181],"dynamic":[182],"environment.":[183]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}