{"id":"https://openalex.org/W4407739337","doi":"https://doi.org/10.3233/978-1-61499-898-3-281","title":"Deep Learning-Based Method for Vision-Guided Robotic Grasping of Unknown Objects","display_name":"Deep Learning-Based Method for Vision-Guided Robotic Grasping of Unknown Objects","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W4407739337","doi":"https://doi.org/10.3233/978-1-61499-898-3-281"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-898-3-281","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-898-3-281","pdf_url":null,"source":{"id":"https://openalex.org/S4210187496","display_name":"Advances in transdisciplinary engineering","issn_l":"2352-751X","issn":["2352-751X","2352-7528"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Transdisciplinary Engineering","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/978-1-61499-898-3-281","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102957644","display_name":"Luca Bergamini","orcid":"https://orcid.org/0000-0003-1221-8640"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bergamini Luca","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116327353","display_name":"Sposato Mario","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sposato Mario","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102846220","display_name":"Margherita Peruzzini","orcid":"https://orcid.org/0000-0003-2260-0392"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peruzzini Margherita","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102085714","display_name":"Vito Roberto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vezzani Roberto","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5003445819","display_name":"Marcello Pellicciari","orcid":"https://orcid.org/0000-0003-2578-4123"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pellicciari Marcello","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102957644"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5528623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9997000098228455,"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":0.9997000098228455,"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/T10868","display_name":"Soft Robotics and Applications","score":0.9783999919891357,"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"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9757999777793884,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7463103532791138},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.67534339427948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5776572823524475},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4894377291202545},{"id":"https://openalex.org/keywords/robot-vision","display_name":"Robot vision","score":0.4314180910587311},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.27715742588043213},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.12220162153244019}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7463103532791138},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.67534339427948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5776572823524475},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4894377291202545},{"id":"https://openalex.org/C2983761899","wikidata":"https://www.wikidata.org/wiki/Q604674","display_name":"Robot vision","level":4,"score":0.4314180910587311},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.27715742588043213},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.12220162153244019}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3233/978-1-61499-898-3-281","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-898-3-281","pdf_url":null,"source":{"id":"https://openalex.org/S4210187496","display_name":"Advances in transdisciplinary engineering","issn_l":"2352-751X","issn":["2352-751X","2352-7528"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Transdisciplinary Engineering","raw_type":"book-chapter"},{"id":"pmh:oai:cris.unibo.it:11585/952230","is_oa":true,"landing_page_url":"https://hdl.handle.net/11585/952230","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:iris.unimore.it:11380/1165036","is_oa":true,"landing_page_url":"http://ebooks.iospress.nl/volumearticle/49809","pdf_url":null,"source":{"id":"https://openalex.org/S4306400718","display_name":"IRIS UNIMORE (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.3233/978-1-61499-898-3-281","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-898-3-281","pdf_url":null,"source":{"id":"https://openalex.org/S4210187496","display_name":"Advances in transdisciplinary engineering","issn_l":"2352-751X","issn":["2352-751X","2352-7528"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Transdisciplinary Engineering","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1892339738","https://openalex.org/W1895577753","https://openalex.org/W1999156278","https://openalex.org/W2103496339","https://openalex.org/W2108598243","https://openalex.org/W2163605009","https://openalex.org/W2570343428","https://openalex.org/W2581803153","https://openalex.org/W2600030077"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407"],"abstract_inverted_index":{"Collaborative":[0],"robots":[1,119],"must":[2],"operate":[3],"safely":[4],"and":[5,12,28,39,67,83,130,147,166,185,199,229],"efficiently":[6],"in":[7,111,175,218],"ever-changing":[8],"unstructured":[9,113],"environments,":[10],"grasping":[11,123],"manipulating":[13],"many":[14],"different":[15],"objects.":[16],"Artificial":[17],"vision":[18,56],"has":[19,144,191,222],"proved":[20,148],"to":[21,37,75,120,149],"be":[22,172],"collaborative":[23,118,234],"robots'":[24],"ideal":[25],"sensing":[26],"technology":[27],"it":[29,200],"is":[30,58,201],"widely":[31],"used":[32],"for":[33,40,63,101,136],"identifying":[34],"the":[35,47,53,59,65,80,102,105,126,137,140,160,179,195,207,214,226],"objects":[36,110],"manipulate":[38],"detecting":[41],"their":[42],"optimal":[43,68],"grasping.":[44],"One":[45],"of":[46,50,52,70,79,104,108,128,139,162,181,189,206,213],"main":[48],"drawbacks":[49],"state":[51],"art":[54],"robotic":[55,106,176],"systems":[57],"long":[60],"training":[61,129,138],"needed":[62],"teaching":[64],"identification":[66],"grasps":[69,107],"each":[71],"object,":[72],"which":[73,115],"leads":[74],"a":[76,163,187,232],"strong":[77],"reduction":[78],"robot":[81],"productivity":[82],"overall":[84],"operating":[85],"flexibility.":[86],"To":[87],"overcome":[88],"such":[89],"limit,":[90],"we":[91],"propose":[92],"an":[93,112],"engineering":[94],"method,":[95],"based":[96],"on":[97,194,231],"deep":[98],"learning":[99],"techniques,":[100],"detection":[103],"unknown":[109],"environment,":[114],"should":[116],"enable":[117],"autonomously":[121],"generate":[122],"strategies":[124],"without":[125],"need":[127],"programming.":[131],"A":[132],"novel":[133],"loss":[134,208],"function":[135,209],"grasp":[141],"prediction":[142],"network":[143],"been":[145,192,223],"developed":[146],"work":[150],"well":[151],"also":[152],"with":[153],"low":[154,167],"resolution":[155],"2-D":[156],"images,":[157],"then":[158],"allowing":[159],"use":[161],"single,":[164],"smaller":[165],"cost":[168],"camera,":[169],"that":[170,203],"can":[171],"better":[173],"integrated":[174],"end-effectors.":[177],"Despite":[178],"availability":[180],"less":[182],"information":[183],"(resolution":[184],"depth)":[186],"75%":[188],"accuracy":[190],"achieved":[193],"Cornell":[196],"data":[197],"set":[198],"shown":[202],"our":[204],"implementation":[205],"does":[210],"not":[211],"suffer":[212],"common":[215],"problems":[216],"reported":[217],"literature.":[219],"The":[220],"system":[221],"implemented":[224],"using":[225],"ROS":[227],"framework":[228],"tested":[230],"Baxter":[233],"robot.":[235]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-02-20T00:00:00"}
