{"id":"https://openalex.org/W2947802808","doi":"https://doi.org/10.1109/icmech.2019.8722932","title":"Remote Control Method with Force Assist Based on Collision Prediction Calculated from Each Turning Radius in Mobile Robot","display_name":"Remote Control Method with Force Assist Based on Collision Prediction Calculated from Each Turning Radius in Mobile Robot","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2947802808","doi":"https://doi.org/10.1109/icmech.2019.8722932","mag":"2947802808"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmech.2019.8722932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5091378169","display_name":"Naoki Motoi","orcid":"https://orcid.org/0000-0003-1536-0095"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"funder","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoki Motoi","raw_affiliation_strings":["Graduate School of Maritime Science, Kobe University, Kobe, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Maritime Science, Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047008928","display_name":"Ryo Masaki","orcid":"https://orcid.org/0000-0001-6990-3994"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"funder","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryo Masaki","raw_affiliation_strings":["Graduate School of Maritime Science, Kobe University, Kobe, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Maritime Science, Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022934757","display_name":"Masato Kobayashi","orcid":"https://orcid.org/0000-0001-9703-2858"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"funder","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masato Kobayashi","raw_affiliation_strings":["Graduate School of Maritime Science, Kobe University, Kobe, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Maritime Science, Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.581,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":1,"citation_normalized_percentile":{"value":0.417866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":61,"max":69},"biblio":{"volume":null,"issue":null,"first_page":"477","last_page":"482"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11687","display_name":"Teleoperation and Haptic Systems","score":0.9999,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11687","display_name":"Teleoperation and Haptic Systems","score":0.9999,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T13382","display_name":"Robotics and Automated Systems","score":0.9991,"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":0.9954,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/turning-radius","display_name":"Turning radius","score":0.6634341},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.4452598}],"concepts":[{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.75292486},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.7381066},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.71092963},{"id":"https://openalex.org/C205148227","wikidata":"https://www.wikidata.org/wiki/Q2558948","display_name":"Turning radius","level":2,"score":0.6634341},{"id":"https://openalex.org/C178635117","wikidata":"https://www.wikidata.org/wiki/Q747499","display_name":"RADIUS","level":2,"score":0.6305478},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.5823224},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5775887},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.5490525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.542499},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.4452598},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.43959862},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.30186892},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21940628},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.08054519},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06713644},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.065538526},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmech.2019.8722932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":10,"referenced_works":["https://openalex.org/W1973766736","https://openalex.org/W2055310310","https://openalex.org/W2096323098","https://openalex.org/W2102279668","https://openalex.org/W2160099291","https://openalex.org/W2170140357","https://openalex.org/W2475172502","https://openalex.org/W2570754965","https://openalex.org/W2798775036","https://openalex.org/W3106058837"],"related_works":["https://openalex.org/W4317634134","https://openalex.org/W3163022373","https://openalex.org/W3005999311","https://openalex.org/W2981729160","https://openalex.org/W2536744725","https://openalex.org/W2379128895","https://openalex.org/W2340892746","https://openalex.org/W2167345783","https://openalex.org/W2109445039","https://openalex.org/W1819938260"],"abstract_inverted_index":{"This":[0,119],"paper":[1,108],"proposes":[2,109],"the":[3,8,13,31,35,40,44,48,51,55,59,62,65,73,77,82,89,95,110,116,125,129,137,142,152,156,160,162,165,177,181,186,192,198],"remote":[4,26,45],"control":[5,27,32,46,78,157],"method":[6,113,194],"with":[7],"force":[9,41,63,84,178],"assist":[10,42,85,179],"based":[11,114],"on":[12,115],"collision":[14,117,120,143],"prediction":[15,121,130,144,147],"calculated":[16,123],"from":[17,72,88,124,151,197],"each":[18,133,146],"turning":[19,134],"radius":[20],"in":[21,43],"a":[22],"mobile":[23,36,74,153],"robot.":[24,37],"The":[25,189],"system":[28],"consists":[29],"of":[30,61,132,164,191],"device":[33],"and":[34,128],"By":[38],"using":[39],"system,":[47],"operator":[49],"recognizes":[50],"environmental":[52,66,92,102,126,139],"information":[53,67,127],"as":[54,185],"tactile":[56],"sensation.":[57],"For":[58],"realization":[60],"assist,":[64],"has":[68],"to":[69,76,155,175],"be":[70],"transmitted":[71],"robot":[75,154],"device.":[79,158],"In":[80,170],"addition,":[81,171],"precise":[83],"is":[86,122,149,167,173],"achieved":[87],"high":[90],"resolution":[91],"data.":[93,103],"However,":[94],"communication":[96],"time":[97],"delay":[98],"occurs":[99],"by":[100],"increasing":[101],"From":[104],"this":[105,107],"viewpoint,":[106],"data":[111,140,166],"compression":[112],"prediction.":[118],"trajectory":[131,148],"radius.":[135],"Not":[136],"whole":[138],"but":[141],"for":[145],"sent":[150],"As":[159],"result,":[161],"amount":[163],"drastically":[168],"decreased.":[169],"it":[172],"possible":[174],"realize":[176],"having":[180],"almost":[182],"same":[183],"performance":[184],"conventional":[187],"method.":[188],"validity":[190],"proposed":[193],"was":[195],"confirmed":[196],"experimental":[199],"results.":[200]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2947802808","counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-04-16T15:33:17.922214","created_date":"2019-06-07"}