{"id":"https://openalex.org/W4317357086","doi":"https://doi.org/10.1108/ir-05-2022-0123","title":"A systematic strategy of pallet identification and picking based on deep learning techniques","display_name":"A systematic strategy of pallet identification and picking based on deep learning techniques","publication_year":2023,"publication_date":"2023-01-10","ids":{"openalex":"https://openalex.org/W4317357086","doi":"https://doi.org/10.1108/ir-05-2022-0123"},"language":"en","primary_location":{"id":"doi:10.1108/ir-05-2022-0123","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ir-05-2022-0123","pdf_url":null,"source":{"id":"https://openalex.org/S166948985","display_name":"Industrial Robot the international journal of robotics research and application","issn_l":"0143-991X","issn":["0143-991X","1758-5791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Robot: the international journal of robotics research and application","raw_type":"journal-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/A5101423460","display_name":"Yongyao Li","orcid":"https://orcid.org/0000-0001-6998-1220"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongyao Li","raw_affiliation_strings":["MetaX Technology Co.,Ltd, Ningbo, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MetaX Technology Co.,Ltd, Ningbo, Zhejiang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063513877","display_name":"Guanyu Ding","orcid":"https://orcid.org/0009-0006-1682-4911"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guanyu Ding","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107228195","display_name":"Chao Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chao Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350760","display_name":"Sen Wang","orcid":"https://orcid.org/0000-0003-1537-8834"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sen Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048760456","display_name":"Qinglei Zhao","orcid":"https://orcid.org/0000-0001-5477-5037"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinglei Zhao","raw_affiliation_strings":["Changchun Institute of Optics Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun Institute of Optics Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China","institution_ids":["https://openalex.org/I4210088164","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100748970","display_name":"Qi Song","orcid":"https://orcid.org/0000-0002-3078-3363"},"institutions":[{"id":"https://openalex.org/I4210092817","display_name":"Suzhou Institute of Biomedical Engineering and Technology","ror":"https://ror.org/00f58mx93","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Song","raw_affiliation_strings":["Suzhou Institute of Biomedical Engineering and Technology, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Suzhou Institute of Biomedical Engineering and Technology, Suzhou, China","institution_ids":["https://openalex.org/I4210092817"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.0293,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.96044341,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"50","issue":"2","first_page":"353","last_page":"365"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/pallet","display_name":"Pallet","score":0.9647595882415771},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7264559268951416},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7067777514457703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7022292017936707},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.676665186882019},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6461135745048523},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5629795789718628},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5266925096511841},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.46986326575279236},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20262864232063293},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15163764357566833},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13309335708618164}],"concepts":[{"id":"https://openalex.org/C51413319","wikidata":"https://www.wikidata.org/wiki/Q505996","display_name":"Pallet","level":2,"score":0.9647595882415771},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7264559268951416},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7067777514457703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7022292017936707},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.676665186882019},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6461135745048523},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5629795789718628},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5266925096511841},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.46986326575279236},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20262864232063293},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15163764357566833},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13309335708618164},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ir-05-2022-0123","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ir-05-2022-0123","pdf_url":null,"source":{"id":"https://openalex.org/S166948985","display_name":"Industrial Robot the international journal of robotics research and application","issn_l":"0143-991X","issn":["0143-991X","1758-5791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Robot: the international journal of robotics research and application","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1483870316","https://openalex.org/W1971770062","https://openalex.org/W2152864241","https://openalex.org/W2167667767","https://openalex.org/W2581515063","https://openalex.org/W2755664321","https://openalex.org/W2769236095","https://openalex.org/W2795289540","https://openalex.org/W2896844839","https://openalex.org/W2907104091","https://openalex.org/W2944659700","https://openalex.org/W2972006294","https://openalex.org/W2994389220","https://openalex.org/W3015045924","https://openalex.org/W3025185051","https://openalex.org/W3033131612","https://openalex.org/W3089090082","https://openalex.org/W3093616484","https://openalex.org/W3101799466","https://openalex.org/W3103814778","https://openalex.org/W3109792549","https://openalex.org/W3112159832","https://openalex.org/W3136127029","https://openalex.org/W3174299622","https://openalex.org/W3177114102","https://openalex.org/W3183802798","https://openalex.org/W4200225719","https://openalex.org/W4200512979","https://openalex.org/W4232052738"],"related_works":["https://openalex.org/W59439004","https://openalex.org/W2094299241","https://openalex.org/W368706031","https://openalex.org/W575696998","https://openalex.org/W572765140","https://openalex.org/W2342739646","https://openalex.org/W610320743","https://openalex.org/W2626136638","https://openalex.org/W4366437295","https://openalex.org/W4251858511"],"abstract_inverted_index":{"Purpose":[0],"This":[1],"paper":[2],"presents":[3],"a":[4,12,26,52,78,92,96,146,156,178,214,229,264,303],"comprehensive":[5],"pallet-picking":[6],"approach":[7],"for":[8],"forklift":[9],"robots,":[10],"comprising":[11],"pallet":[13,24,109,162,174,209],"identification":[14,80],"and":[15,21,25,56,62,67,70,85,106,132,173,189,221,255,291,294],"localization":[16,89,216],"algorithm":[17,29],"(PILA)":[18],"to":[19,31,65,104,150,168,180,259],"detect":[20,105],"locate":[22,107],"the":[23,33,38,72,108,111,115,122,129,133,140,152,170,186,193,208,235,246,270,277,288],"vehicle":[27,34,171,236],"alignment":[28],"(VAA)":[30],"align":[32],"fork":[35],"arms":[36],"with":[37,121,213,234,282],"targeted":[39],"pallet.":[40,73],"Design/methodology/approach":[41],"Opposing":[42],"vision-based":[43],"methods":[44],"or":[45],"point":[46,116,141],"cloud":[47,117],"data":[48,64,118],"strategies,":[49],"we":[50],"utilize":[51],"low-cost":[53],"RGB-D":[54],"camera,":[55],"thus":[57],"PILA":[58,144],"exploits":[59],"both":[60],"RGB":[61,83,112,130],"depth":[63,93,248,266],"quickly":[66],"precisely":[68],"recognize":[69],"localize":[71],"The":[74,204,273],"developed":[75],"method":[76,101],"guarantees":[77],"high":[79],"rate":[81],"from":[82,139],"images":[84],"more":[86],"precise":[87],"3D":[88],"information":[90],"than":[91],"camera.":[94],"Additionally,":[95],"deep":[97],"neural":[98],"network":[99],"(DNN)":[100],"is":[102,119,137,166,243,257],"applied":[103],"in":[110,128,269,307],"images.":[113],"Specifically,":[114],"correlated":[120],"labeled":[123],"region":[124],"of":[125,192,196,218,225,231,285,299,305],"interest":[126],"(RoI)":[127],"images,":[131],"pallet's":[134,153],"front-face":[135],"plane":[136],"extracted":[138],"cloud.":[142],"Furthermore,":[143],"introduces":[145],"universal":[147],"geometrical":[148],"rule":[149],"identify":[151],"center":[154],"as":[155,177],"\u201cT-shape\u201d":[157],"without":[158,200],"depending":[159],"on":[160],"specific":[161],"types.":[163],"Finally,":[164],"VAA":[165],"proposed":[167],"implement":[169],"approaching":[172],"picking":[175],"operations":[176],"\u201cproof-of-concept\u201d":[179],"test":[181],"PILA\u2019s":[182,241],"performance.":[183],"Findings":[184],"Experimentally,":[185],"orientation":[187],"angle":[188,223],"centric":[190],"location":[191],"two":[194],"kinds":[195],"pallets":[197,278],"are":[198],"investigated":[199],"any":[201],"artificial":[202],"marking.":[203],"results":[205,274],"show":[206],"that":[207,276],"could":[210],"be":[211,260,280],"located":[212,281],"three-dimensional":[215],"accuracy":[217,284],"1":[219],"cm":[220],"an":[222,283,296],"resolution":[224,298],"0.4":[226,300],"degrees":[227,301],"at":[228,302],"distance":[230,304],"3":[232,253],"m":[233],"control":[237],"algorithm.":[238],"Research":[239],"limitations/implications":[240],"performance":[242],"limited":[244],"by":[245,262],"current":[247],"camera\u2019s":[249],"range":[250],"(<":[251],"=":[252],"m),":[254],"this":[256],"expected":[258],"improved":[261],"using":[263],"better":[265],"measurement":[267],"device":[268],"future.":[271],"Originality/value":[272],"demonstrate":[275],"can":[279],"1cm":[286],"along":[287],"x,":[289],"y,":[290],"z":[292],"directions":[293],"affording":[295],"angular":[297],"3m":[306],"700ms.":[308]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}