{"id":"https://openalex.org/W2772139884","doi":"https://doi.org/10.1109/iecon.2017.8217491","title":"Collision avoidance support for a power-assisted omni-directional mobile robot to present obstacle information by adjusting model viscosity coefficients","display_name":"Collision avoidance support for a power-assisted omni-directional mobile robot to present obstacle information by adjusting model viscosity coefficients","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2772139884","doi":"https://doi.org/10.1109/iecon.2017.8217491","mag":"2772139884"},"language":"en","primary_location":{"id":"doi:10.1109/iecon.2017.8217491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2017.8217491","pdf_url":null,"source":{"id":"https://openalex.org/S4363608531","display_name":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","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/A5076918154","display_name":"Yuki Ueno","orcid":"https://orcid.org/0000-0002-7226-4967"},"institutions":[{"id":"https://openalex.org/I148798404","display_name":"Tokyo University of Technology","ror":"https://ror.org/021a26605","country_code":"JP","type":"education","lineage":["https://openalex.org/I148798404"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuki Ueno","raw_affiliation_strings":["School of Engineering, Tokyo University of Technology, Hachioji, Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Tokyo University of Technology, Hachioji, Tokyo","institution_ids":["https://openalex.org/I148798404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049879194","display_name":"Yuto Oba","orcid":null},"institutions":[{"id":"https://openalex.org/I148798404","display_name":"Tokyo University of Technology","ror":"https://ror.org/021a26605","country_code":"JP","type":"education","lineage":["https://openalex.org/I148798404"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuto Oba","raw_affiliation_strings":["Graduated School of Bionics, Tokyo University of Technology, Hachioji, Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduated School of Bionics, Tokyo University of Technology, Hachioji, Tokyo","institution_ids":["https://openalex.org/I148798404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005230150","display_name":"Yoshiki Matsuo","orcid":"https://orcid.org/0000-0001-7247-131X"},"institutions":[{"id":"https://openalex.org/I148798404","display_name":"Tokyo University of Technology","ror":"https://ror.org/021a26605","country_code":"JP","type":"education","lineage":["https://openalex.org/I148798404"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiki Matsuo","raw_affiliation_strings":["School of Engineering, Tokyo University of Technology, Hachioji, Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Tokyo University of Technology, Hachioji, Tokyo","institution_ids":["https://openalex.org/I148798404"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I148798404"],"apc_list":null,"apc_paid":null,"fwci":0.5441,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5694051,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"8491","last_page":"8496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11615","display_name":"Control and Dynamics of Mobile Robots","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/T11615","display_name":"Control and Dynamics of Mobile Robots","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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10586","display_name":"Robotic Path Planning Algorithms","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"}}],"keywords":[{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.7143159508705139},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.7014622688293457},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6369547247886658},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.5859671831130981},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5765463709831238},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.5709652304649353},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.5456881523132324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5188223719596863},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.5138943195343018},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4714076519012451},{"id":"https://openalex.org/keywords/viscosity","display_name":"Viscosity","score":0.4592547118663788},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4167572557926178},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.38413822650909424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2560378909111023},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09314116835594177},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0857279896736145}],"concepts":[{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.7143159508705139},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.7014622688293457},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6369547247886658},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.5859671831130981},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5765463709831238},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.5709652304649353},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.5456881523132324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5188223719596863},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.5138943195343018},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4714076519012451},{"id":"https://openalex.org/C127172972","wikidata":"https://www.wikidata.org/wiki/Q128709","display_name":"Viscosity","level":2,"score":0.4592547118663788},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4167572557926178},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.38413822650909424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2560378909111023},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09314116835594177},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0857279896736145},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon.2017.8217491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2017.8217491","pdf_url":null,"source":{"id":"https://openalex.org/S4363608531","display_name":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1974248905","https://openalex.org/W1990665574","https://openalex.org/W2087718902","https://openalex.org/W2135861502","https://openalex.org/W2137774647"],"related_works":["https://openalex.org/W2930076404","https://openalex.org/W4253519380","https://openalex.org/W2023024008","https://openalex.org/W2071957557","https://openalex.org/W2596413128","https://openalex.org/W1911254468","https://openalex.org/W4391249562","https://openalex.org/W2356867392","https://openalex.org/W2913749762","https://openalex.org/W2321940404"],"abstract_inverted_index":{"Collision":[0],"avoidance":[1,18],"subject":[2,89,110],"to":[3,15,69,113,124],"operator's":[4,20],"intention":[5],"is":[6,34,43],"needed":[7],"for":[8],"power-assisted":[9,92],"omni-directional":[10,93],"mobile":[11,94],"robots.":[12],"In":[13,36,80],"order":[14],"realize":[16],"collision":[17],"on":[19],"initiative,":[21],"the":[22,26,29,41,56,70,73,76,107,109,115,120,126,130],"system":[23],"which":[24],"makes":[25],"operator":[27,121],"notice":[28],"existence":[30,39],"of":[31,40,55,61],"an":[32,81],"obstacle":[33,42,77],"necessary.":[35],"this":[37],"paper,":[38],"notified":[44],"through":[45],"a":[46,85,88,91,98,101],"change":[47],"in":[48],"operation":[49,82],"feeling":[50],"by":[51,96,129],"adjusting":[52,62,134],"viscosity":[53,63,132],"coefficients":[54,64,133],"power-assist":[57],"system.":[58],"Two":[59],"methods":[60],"proportionally":[65],"or":[66,100],"exponentially":[67],"according":[68],"distance":[71],"between":[72],"robot":[74,95,116,127],"and":[75],"are":[78],"considered.":[79],"experiment":[83],"at":[84],"narrow":[86],"passage,":[87],"operated":[90],"wearing":[97],"blindfold":[99],"tunnel":[102],"vision":[103],"experience":[104],"goggle.":[105],"From":[106],"results,":[108],"was":[111,122],"able":[112,123],"operate":[114,125],"without":[117],"collision.":[118],"Additionally,":[119],"smoothly":[128],"exponantial":[131],"method.":[135]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}