{"id":"https://openalex.org/W3200697468","doi":"https://doi.org/10.3390/s21186238","title":"Research on Multi-Object Sorting System Based on Deep Learning","display_name":"Research on Multi-Object Sorting System Based on Deep Learning","publication_year":2021,"publication_date":"2021-09-17","ids":{"openalex":"https://openalex.org/W3200697468","doi":"https://doi.org/10.3390/s21186238","mag":"3200697468","pmid":"https://pubmed.ncbi.nlm.nih.gov/34577445"},"language":"en","primary_location":{"id":"doi:10.3390/s21186238","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21186238","pdf_url":"https://www.mdpi.com/1424-8220/21/18/6238/pdf?version=1631955401","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/18/6238/pdf?version=1631955401","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100385579","display_name":"Hongyan Zhang","orcid":"https://orcid.org/0000-0002-7894-5755"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyan Zhang","raw_affiliation_strings":["School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130022, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024854964","display_name":"Huawei Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huawei Liang","raw_affiliation_strings":["School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130022, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100633679","display_name":"Tao Ni","orcid":"https://orcid.org/0000-0001-6402-0199"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Ni","raw_affiliation_strings":["School of Vehicle and Energy, Yanshan University, Qinhuangdao 066004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Vehicle and Energy, Yanshan University, Qinhuangdao 066004, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077280268","display_name":"Lingtao Huang","orcid":"https://orcid.org/0000-0002-8588-7741"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lingtao Huang","raw_affiliation_strings":["School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130022, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089843214","display_name":"J. N. Yang","orcid":"https://orcid.org/0000-0003-1692-8738"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinsong Yang","raw_affiliation_strings":["School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130022, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5077280268"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.083,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.8712289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"21","issue":"18","first_page":"6238","last_page":"6238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9995999932289124,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9995999932289124,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9807000160217285,"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/T10868","display_name":"Soft Robotics and Applications","score":0.9639000296592712,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8118557929992676},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7362607717514038},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6759202480316162},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6225433349609375},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5107402801513672},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.45379650592803955},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4463306963443756},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.44547605514526367},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.43700656294822693},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4176504611968994}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8118557929992676},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7362607717514038},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6759202480316162},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6225433349609375},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5107402801513672},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.45379650592803955},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4463306963443756},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.44547605514526367},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.43700656294822693},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4176504611968994}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/s21186238","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21186238","pdf_url":"https://www.mdpi.com/1424-8220/21/18/6238/pdf?version=1631955401","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:34577445","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34577445","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:282195c6d92b437fa6d750b49ac1a541","is_oa":true,"landing_page_url":"https://doaj.org/article/282195c6d92b437fa6d750b49ac1a541","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 18, p 6238 (2021)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:7364618","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC8473321","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/18/6238/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21186238","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 18; Pages: 6238","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8473321","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8473321","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21186238","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21186238","pdf_url":"https://www.mdpi.com/1424-8220/21/18/6238/pdf?version=1631955401","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3200697468.pdf","grobid_xml":"https://content.openalex.org/works/W3200697468.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W1990386062","https://openalex.org/W1994200336","https://openalex.org/W2041376653","https://openalex.org/W2555182955","https://openalex.org/W2594417061","https://openalex.org/W2626073992","https://openalex.org/W2903141337","https://openalex.org/W2962736495","https://openalex.org/W2963150697","https://openalex.org/W2963161243","https://openalex.org/W2964979676","https://openalex.org/W2991363140","https://openalex.org/W3035709993","https://openalex.org/W3113410735","https://openalex.org/W3127167435","https://openalex.org/W6760739867"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W2090763504","https://openalex.org/W4389574804","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W148178222","https://openalex.org/W2295788148","https://openalex.org/W1578717197","https://openalex.org/W3108295644","https://openalex.org/W2114282491"],"abstract_inverted_index":{"As":[0],"a":[1,8,31,240],"complex":[2],"task,":[3],"robot":[4,32,212],"sorting":[5,23,34,213,254],"has":[6],"become":[7],"research":[9],"hotspot.":[10],"In":[11],"order":[12,175],"to":[13,16,75,119,133,162,179],"enable":[14],"robots":[15],"perform":[17],"simple,":[18],"efficient,":[19],"stable":[20],"and":[21,51,81,94,101,125,150,193,210,243,270],"accurate":[22],"operations":[24],"for":[25,68],"stacked":[26,266],"multi-objects":[27],"in":[28,38,59,239,261,272],"unstructured":[29,60,273],"scenes,":[30],"multi-object":[33,253],"system":[35,214,255],"is":[36,49,62,73,92,99,107,117,131,156,176],"built":[37],"this":[39,224,226,262],"paper.":[40],"Firstly,":[41],"the":[42,52,65,77,84,88,95,102,110,121,126,135,139,143,147,151,159,164,167,170,173,180,184,188,198,201,206,211,218,233,252],"training":[43,66],"model":[44,72,91,106],"of":[45,55,83,146,166,183,200,236],"rotating":[46,202],"target":[47,85,153,203],"detection":[48,154,204],"constructed,":[50,93],"placement":[53],"state":[54],"five":[56],"common":[57],"objects":[58,267],"scenes":[61],"collected":[63],"as":[64],"set":[67,98],"training.":[69],"The":[70,247],"trained":[71],"used":[74,118],"obtain":[76,163],"position,":[78],"rotation":[79,152],"angle":[80,140],"category":[82,192],"object.":[86,168],"Then,":[87,109,138],"instance":[89,103,114,207],"segmentation":[90,104,115,208],"same":[96,171],"data":[97],"made,":[100],"network":[105,116,155,209,242],"trained.":[108],"optimized":[111],"Mask":[112],"R-CNN":[113],"segment":[120],"object":[122,190,237],"surface":[123,128,149],"pixels,":[124],"upper":[127,148],"point":[129],"cloud":[130],"extracted":[132],"calculate":[134],"normal":[136,144,160],"vector.":[137],"obtained":[141,189],"by":[142],"vector":[145,161],"fused":[157],"with":[158],"attitude":[165],"At":[169],"time,":[172],"grasping":[174,194],"calculated":[177],"according":[178],"average":[181],"depth":[182],"surface.":[185],"Finally,":[186],"after":[187],"posture,":[191],"sequence":[195],"are":[196,215],"fused,":[197],"performance":[199],"network,":[205],"tested":[216],"on":[217,223,232,257],"established":[219],"experimental":[220,248],"platform.":[221],"Based":[222],"system,":[225],"paper":[227,263],"carried":[228],"out":[229],"an":[230,244],"experiment":[231],"success":[234],"rate":[235],"capture":[238],"single":[241],"integrated":[245],"network.":[246],"results":[249],"show":[250],"that":[251],"based":[256],"deep":[258],"learning":[259],"proposed":[260],"can":[264],"sort":[265],"efficiently,":[268],"accurately":[269],"stably":[271],"scenes.":[274]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4}],"updated_date":"2026-06-19T17:40:00.097472","created_date":"2025-10-10T00:00:00"}
