{"id":"https://openalex.org/W2503178882","doi":"https://doi.org/10.1109/biorob.2016.7523692","title":"Data-efficient human training of a care motion controller for human transfer assistant robots using Bayesian optimization","display_name":"Data-efficient human training of a care motion controller for human transfer assistant robots using Bayesian optimization","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2503178882","doi":"https://doi.org/10.1109/biorob.2016.7523692","mag":"2503178882"},"language":"en","primary_location":{"id":"doi:10.1109/biorob.2016.7523692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biorob.2016.7523692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob)","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/A5042074952","display_name":"Takamitsu Matsubara","orcid":"https://orcid.org/0000-0003-3545-4814"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takamitsu Matsubara","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031271483","display_name":"Yoshihito Funaki","orcid":null},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshihito Funaki","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100606824","display_name":"Ming Ding","orcid":"https://orcid.org/0000-0002-4919-5772"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ming Ding","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044340470","display_name":"Tsukasa Ogasawara","orcid":"https://orcid.org/0000-0001-9767-6039"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsukasa Ogasawara","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087612281","display_name":"Kenji Sugimoto","orcid":"https://orcid.org/0000-0002-5149-5643"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenji Sugimoto","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042074952"],"corresponding_institution_ids":["https://openalex.org/I75917431"],"apc_list":null,"apc_paid":null,"fwci":0.84563064,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.89260831,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"54","issue":null,"first_page":"606","last_page":"611"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9965000152587891,"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"}},"topics":[{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9965000152587891,"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"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9861999750137329,"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/robot","display_name":"Robot","score":0.7377861142158508},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6560824513435364},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.6535735726356506},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.54891437292099},{"id":"https://openalex.org/keywords/lift","display_name":"Lift (data mining)","score":0.5466287136077881},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.48547080159187317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4505874514579773},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.42726439237594604},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.42516395449638367},{"id":"https://openalex.org/keywords/wheelchair","display_name":"Wheelchair","score":0.4191071093082428},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25318458676338196},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1985875964164734}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.7377861142158508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6560824513435364},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.6535735726356506},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.54891437292099},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.5466287136077881},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.48547080159187317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4505874514579773},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.42726439237594604},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.42516395449638367},{"id":"https://openalex.org/C2781042323","wikidata":"https://www.wikidata.org/wiki/Q191931","display_name":"Wheelchair","level":2,"score":0.4191071093082428},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25318458676338196},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1985875964164734},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/biorob.2016.7523692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biorob.2016.7523692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob)","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":15,"referenced_works":["https://openalex.org/W414567873","https://openalex.org/W1965971961","https://openalex.org/W2063932736","https://openalex.org/W2090656762","https://openalex.org/W2098584016","https://openalex.org/W2131241448","https://openalex.org/W2133261881","https://openalex.org/W2138257932","https://openalex.org/W2151074445","https://openalex.org/W2160167627","https://openalex.org/W2951665052","https://openalex.org/W3124229194","https://openalex.org/W6678911119","https://openalex.org/W6680021834","https://openalex.org/W6764988152"],"related_works":["https://openalex.org/W4378364071","https://openalex.org/W2399287283","https://openalex.org/W1998563140","https://openalex.org/W2742303892","https://openalex.org/W2724219770","https://openalex.org/W2076341217","https://openalex.org/W2065035327","https://openalex.org/W2718635042","https://openalex.org/W2388875409","https://openalex.org/W4401858220"],"abstract_inverted_index":{"Transferring":[0],"is":[1,17,98,141,159],"one":[2],"of":[3,26,53,104,129],"care":[4,148,180,202],"motions":[5,38,203],"for":[6,22,39,69,74,116,143,161,183],"transferring":[7,27],"a":[8,11,14,18,66,125,130,136,153,178],"patient":[9],"between":[10,110,190],"bed":[12],"and":[13,58,113,194],"wheelchair,":[15],"which":[16],"heavy":[19],"burden":[20],"task":[21,123,166],"caregivers.":[23],"Various":[24],"kinds":[25],"assistant":[28,157],"robots":[29],"have":[30],"been":[31,43],"proposed":[32],"previously.":[33],"However,":[34],"designing":[35],"comfortable":[36,71,79],"transfer":[37,72,156],"individuals":[40],"has":[41],"not":[42],"intensively":[44],"studied":[45],"maybe":[46],"due":[47],"to":[48,100],"its":[49],"difficulty":[50],"in":[51,167],"modeling":[52],"such":[54,93],"physical":[55,89,108],"human-robot":[56,88],"interactions":[57,109],"user's":[59,118],"preference.":[60],"In":[61,150],"this":[62],"paper,":[63],"we":[64],"propose":[65],"novel":[67],"framework":[68],"generating":[70],"motion":[73,80,181],"individuals.":[75],"We":[76,120],"find":[77],"the":[78,82,102,111,114,122,146,162,188,191,195,200],"from":[81],"user":[83,112,192],"feedback":[84,193],"(scalar":[85],"value)":[86],"through":[87],"interactions.":[90],"To":[91],"make":[92],"an":[94],"approach":[95],"practical,":[96],"it":[97],"critical":[99],"reduce":[101],"number":[103],"required":[105],"experiments":[106],"with":[107,199],"robot":[115,158,201],"reducing":[117],"burden.":[119],"formulate":[121],"as":[124],"black-box":[126,138],"optimization":[127,139],"problem":[128],"unknown":[131],"noisy":[132],"function;":[133],"Bayesian":[134],"optimization,":[135],"data-efficient":[137],"method,":[140],"utilized":[142],"quickly":[144],"searching":[145],"optimal":[147],"motion.":[149],"our":[151,174],"experiment,":[152],"dual-arm":[154],"human":[155],"used":[160],"raising":[163],"upper":[164],"body":[165],"lift-up":[168],"state.":[169],"Experimental":[170],"results":[171],"demonstrate":[172],"that":[173],"method":[175],"can":[176],"optimize":[177],"user-comfortable":[179],"controller":[182],"each":[184],"individual":[185],"efficiently.":[186],"Moreover,":[187],"relationship":[189],"sensor":[196],"data":[197],"associated":[198],"are":[204],"analyzed":[205],"using":[206],"linear":[207],"regression":[208],"analysis.":[209]},"counts_by_year":[{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}