{"id":"https://openalex.org/W2063058982","doi":"https://doi.org/10.1109/icra.2014.6907585","title":"Autonomous acquisition of generic handheld objects in unstructured environments via sequential back-tracking for object recognition","display_name":"Autonomous acquisition of generic handheld objects in unstructured environments via sequential back-tracking for object recognition","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2063058982","doi":"https://doi.org/10.1109/icra.2014.6907585","mag":"2063058982"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2014.6907585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2014.6907585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Robotics and Automation (ICRA)","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/A5026860496","display_name":"Krishneel Chaudhary","orcid":"https://orcid.org/0000-0001-6173-9800"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Krishneel Chaudhary","raw_affiliation_strings":["Graduate School of Engineering Science, Osaka University","Graduate Sch. of Eng. Sci., Osaka Univ"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Science, Osaka University","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Graduate Sch. of Eng. Sci., Osaka Univ","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044203013","display_name":"Yasushi Mae","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasushi Mae","raw_affiliation_strings":["Graduate School of Engineering Science, Osaka University","Graduate Sch. of Eng. Sci., Osaka Univ"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Science, Osaka University","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Graduate Sch. of Eng. Sci., Osaka Univ","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000726773","display_name":"Masaru Kojima","orcid":"https://orcid.org/0000-0002-1314-3540"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaru Kojima","raw_affiliation_strings":["Graduate School of Engineering Science, Osaka University","Graduate Sch. of Eng. Sci., Osaka Univ"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Science, Osaka University","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Graduate Sch. of Eng. Sci., Osaka Univ","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017331725","display_name":"Tatsuo Arai","orcid":"https://orcid.org/0000-0001-7863-5696"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuo Arai","raw_affiliation_strings":["Graduate School of Engineering Science, Osaka University","Graduate Sch. of Eng. Sci., Osaka Univ"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Science, Osaka University","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Graduate Sch. of Eng. Sci., Osaka Univ","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026860496"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":1.4633,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.85691783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4953","last_page":"4958"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9990000128746033,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.7960324287414551},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7940429449081421},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7596062421798706},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7177771329879761},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.5513333678245544},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5323574542999268},{"id":"https://openalex.org/keywords/3d-single-object-recognition","display_name":"3D single-object recognition","score":0.525244951248169},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4809941053390503},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.46608513593673706},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.45728394389152527},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43542203307151794},{"id":"https://openalex.org/keywords/method","display_name":"Method","score":0.4173647165298462},{"id":"https://openalex.org/keywords/object-model","display_name":"Object model","score":0.4115889072418213},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.3483062982559204},{"id":"https://openalex.org/keywords/object-oriented-programming","display_name":"Object-oriented programming","score":0.21906998753547668}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7960324287414551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7940429449081421},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7596062421798706},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7177771329879761},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.5513333678245544},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5323574542999268},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.525244951248169},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4809941053390503},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.46608513593673706},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.45728394389152527},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43542203307151794},{"id":"https://openalex.org/C512554520","wikidata":"https://www.wikidata.org/wiki/Q815844","display_name":"Method","level":3,"score":0.4173647165298462},{"id":"https://openalex.org/C20894473","wikidata":"https://www.wikidata.org/wiki/Q1116105","display_name":"Object model","level":3,"score":0.4115889072418213},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.3483062982559204},{"id":"https://openalex.org/C73752529","wikidata":"https://www.wikidata.org/wiki/Q79872","display_name":"Object-oriented programming","level":2,"score":0.21906998753547668},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2014.6907585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2014.6907585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W145168206","https://openalex.org/W1503398984","https://openalex.org/W1625255723","https://openalex.org/W1677409904","https://openalex.org/W1985690171","https://openalex.org/W2007944162","https://openalex.org/W2029013291","https://openalex.org/W2085261163","https://openalex.org/W2126326837","https://openalex.org/W2153635508","https://openalex.org/W2155983176","https://openalex.org/W2158762525","https://openalex.org/W2169551590","https://openalex.org/W2533738420","https://openalex.org/W2542911972","https://openalex.org/W6605853179","https://openalex.org/W6636494156","https://openalex.org/W6637400245"],"related_works":["https://openalex.org/W196505194","https://openalex.org/W2727211572","https://openalex.org/W2046953865","https://openalex.org/W113382539","https://openalex.org/W2587477420","https://openalex.org/W2191130262","https://openalex.org/W1830968567","https://openalex.org/W1563300717","https://openalex.org/W2040220294","https://openalex.org/W2126933138"],"abstract_inverted_index":{"Robots":[0],"operating":[1],"in":[2,14,33,50,71],"human":[3,24,38,95],"environments":[4],"must":[5],"have":[6],"the":[7,45,62,83,92,119,151],"ability":[8],"to":[9,16,60,81,156],"autonomously":[10],"acquire":[11],"object":[12,18,30,46,66,86,126,148,159],"representations":[13],"order":[15],"perform":[17,157],"search":[19,160],"and":[20,36,114,150,161],"recognition":[21,162],"tasks":[22],"without":[23,88],"intervention.":[25],"However,":[26],"autonomous":[27],"acquisition":[28],"of":[29,64,85,91,135,138],"appearance":[31],"model":[32],"an":[34,72],"unstructured":[35,73],"cluttered":[37],"environment":[39,74],"is":[40,80,128,143],"a":[41,57,103],"challenging":[42],"task,":[43],"since":[44],"boundaries":[47,67],"are":[48,154],"unknown":[49,65,125],"prior.":[51],"In":[52,99],"this":[53],"paper,":[54],"we":[55,101],"present":[56,102],"novel":[58],"method":[59,104],"solve":[61,82],"problem":[63,84],"for":[68],"handheld":[69,107],"objects":[70,93,108],"using":[75,122,130,145],"robotic":[76],"vision.":[77],"The":[78,124,141],"objective":[79],"segmentation":[87,142],"prior":[89],"knowledge":[90],"that":[94,105],"interacts":[96],"with":[97],"daily.":[98],"particular,":[100],"segments":[106],"by":[109],"observing":[110],"human-object":[111],"interaction":[112],"process,":[113],"performs":[115],"incremental":[116],"learning":[117],"on":[118],"acquired":[120],"models":[121,153],"SVM.":[123],"boundary":[127],"estimated":[129],"sequential":[131],"back-tracking":[132],"via":[133],"exploitation":[134],"affine":[136],"relationship":[137],"consecutive":[139],"frames.":[140],"achieved":[144],"identified":[146],"optimal":[147],"boundaries,":[149],"extracted":[152],"used":[155],"future":[158],"tasks.":[163]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
