{"id":"https://openalex.org/W2585077158","doi":"https://doi.org/10.1109/icarcv.2016.7838671","title":"Gripping position detection of a box-shaped object using a RGB-D sensor by tracked mobile robot with two manipulators","display_name":"Gripping position detection of a box-shaped object using a RGB-D sensor by tracked mobile robot with two manipulators","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2585077158","doi":"https://doi.org/10.1109/icarcv.2016.7838671","mag":"2585077158"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2016.7838671","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2016.7838671","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)","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/A5112972622","display_name":"Toyomi Fujita","orcid":null},"institutions":[{"id":"https://openalex.org/I103605164","display_name":"Tohoku Institute of Technology","ror":"https://ror.org/01phqre83","country_code":"JP","type":"education","lineage":["https://openalex.org/I103605164"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Toyomi Fujita","raw_affiliation_strings":["Department of Electronics and Intelligent Systems, Tohoku Institute of Technology, Sendai, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Intelligent Systems, Tohoku Institute of Technology, Sendai, Japan","institution_ids":["https://openalex.org/I103605164"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021277919","display_name":"Wataru Segawa","orcid":null},"institutions":[{"id":"https://openalex.org/I103605164","display_name":"Tohoku Institute of Technology","ror":"https://ror.org/01phqre83","country_code":"JP","type":"education","lineage":["https://openalex.org/I103605164"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Wataru Segawa","raw_affiliation_strings":["Department of Electronics and Intelligent Systems, Tohoku Institute of Technology, Sendai, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Intelligent Systems, Tohoku Institute of Technology, Sendai, Japan","institution_ids":["https://openalex.org/I103605164"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112972622"],"corresponding_institution_ids":["https://openalex.org/I103605164"],"apc_list":null,"apc_paid":null,"fwci":5.5222,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.97577109,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"5422","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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":0.9998000264167786,"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":0.996999979019165,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.996399998664856,"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/computer-vision","display_name":"Computer vision","score":0.8140991926193237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7281374335289001},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.6804704666137695},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6464070081710815},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6423240303993225},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6034029126167297},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5875696539878845},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.553364098072052},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5118240714073181},{"id":"https://openalex.org/keywords/robot-kinematics","display_name":"Robot kinematics","score":0.45460763573646545}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8140991926193237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7281374335289001},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.6804704666137695},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6464070081710815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6423240303993225},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6034029126167297},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5875696539878845},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.553364098072052},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5118240714073181},{"id":"https://openalex.org/C74222875","wikidata":"https://www.wikidata.org/wiki/Q16000312","display_name":"Robot kinematics","level":4,"score":0.45460763573646545},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icarcv.2016.7838671","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2016.7838671","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-article"},{"id":"mag:2746456040","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/201702237926542632","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.6700000166893005,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W586914934","https://openalex.org/W1532362218","https://openalex.org/W1966523243","https://openalex.org/W2043500348","https://openalex.org/W2078063607","https://openalex.org/W2111869100","https://openalex.org/W2161082941","https://openalex.org/W2549609762","https://openalex.org/W2759879155","https://openalex.org/W6631707545","https://openalex.org/W6683681046"],"related_works":["https://openalex.org/W2486460843","https://openalex.org/W2168109476","https://openalex.org/W1968121071","https://openalex.org/W2061647633","https://openalex.org/W8302103","https://openalex.org/W2020254986","https://openalex.org/W2686985752","https://openalex.org/W2122871747","https://openalex.org/W3114279067","https://openalex.org/W2402852349"],"abstract_inverted_index":{"We":[0],"have":[1],"developed":[2],"a":[3,17,31,55,62,71],"tracked":[4],"mobile":[5],"robot":[6],"with":[7],"two":[8,36,67],"robotic":[9],"arms":[10,37,69],"which":[11],"can":[12,21],"work":[13],"by":[14,34],"itself":[15],"in":[16,87],"disaster":[18],"area.":[19],"It":[20],"perform":[22],"handling":[23],"tasks":[24],"such":[25,50],"as":[26,38],"gripping":[27,59],"and":[28],"carrying":[29],"of":[30,43,61,81,83,89,98],"target":[32],"object":[33,64,85],"the":[35,66,79,84,90,96],"manipulators.":[39],"To":[40],"reduce":[41],"burden":[42],"remote":[44],"control":[45],"on":[46,78],"an":[47],"operator":[48],"for":[49,57,65],"tasks,":[51],"this":[52,99],"paper":[53],"presents":[54],"method":[56,75],"detecting":[58],"positions":[60],"box-shape":[63],"manipulation":[68],"using":[70],"RGB-D":[72],"sensor.":[73],"The":[74],"is":[76],"based":[77],"detection":[80],"vertices":[82],"located":[86],"front":[88],"robot.":[91],"Several":[92],"experimental":[93],"results":[94],"verified":[95],"effectiveness":[97],"method.":[100]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
