{"id":"https://openalex.org/W2006939056","doi":"https://doi.org/10.1109/iros.2010.5649229","title":"Human-robot interaction for learning and adaptation of object movements","display_name":"Human-robot interaction for learning and adaptation of object movements","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2006939056","doi":"https://doi.org/10.1109/iros.2010.5649229","mag":"2006939056"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2010.5649229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2010.5649229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5086210535","display_name":"Manuel M\u00fchlig","orcid":null},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]},{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"M Mu\u0308hlig","raw_affiliation_strings":["Research Institute for Cognition and Robotics, Bielefeld University, Bielfeld, Germany","Honda Research Institute Europe, Offenbach/Main, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute for Cognition and Robotics, Bielefeld University, Bielfeld, Germany","institution_ids":["https://openalex.org/I20121455"]},{"raw_affiliation_string":"Honda Research Institute Europe, Offenbach/Main, Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025560073","display_name":"Michael Gienger","orcid":"https://orcid.org/0000-0001-8036-2519"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"M Gienger","raw_affiliation_strings":["Honda Research Institute Europe, Offenbach/Main, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe, Offenbach/Main, Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085055595","display_name":"Jochen J. Steil","orcid":"https://orcid.org/0000-0002-6738-9933"},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]},{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J J Steil","raw_affiliation_strings":["Honda Research Institute Europe, Offenbach/Main, Germany","Research Institute of Cognition and Robotics, Bielefeld University, Bielefeld, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe, Offenbach/Main, Germany","institution_ids":["https://openalex.org/I4210112253"]},{"raw_affiliation_string":"Research Institute of Cognition and Robotics, Bielefeld University, Bielefeld, Germany","institution_ids":["https://openalex.org/I20121455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"4901","last_page":"4907"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9994999766349792,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9994999766349792,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9944000244140625,"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/T10879","display_name":"Robotic Locomotion and Control","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7549562454223633},{"id":"https://openalex.org/keywords/humanoid-robot","display_name":"Humanoid robot","score":0.7014786601066589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6494016647338867},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6202362179756165},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5525705814361572},{"id":"https://openalex.org/keywords/tutor","display_name":"TUTOR","score":0.5233240127563477},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.4821126461029053},{"id":"https://openalex.org/keywords/robot-learning","display_name":"Robot learning","score":0.46607705950737},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.4600411057472229},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34427207708358765},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21933245658874512},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.18987718224525452}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7549562454223633},{"id":"https://openalex.org/C60692881","wikidata":"https://www.wikidata.org/wiki/Q584529","display_name":"Humanoid robot","level":3,"score":0.7014786601066589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6494016647338867},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6202362179756165},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5525705814361572},{"id":"https://openalex.org/C2778371403","wikidata":"https://www.wikidata.org/wiki/Q7672049","display_name":"TUTOR","level":2,"score":0.5233240127563477},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.4821126461029053},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.46607705950737},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.4600411057472229},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34427207708358765},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21933245658874512},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.18987718224525452},{"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/iros.2010.5649229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2010.5649229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W192414588","https://openalex.org/W1510918013","https://openalex.org/W1982486572","https://openalex.org/W2049617391","https://openalex.org/W2065629971","https://openalex.org/W2069384692","https://openalex.org/W2116377670","https://openalex.org/W2121989750","https://openalex.org/W2128272608","https://openalex.org/W2134194996","https://openalex.org/W2141098361","https://openalex.org/W2155756087","https://openalex.org/W2161395589","https://openalex.org/W2163848682","https://openalex.org/W2247821596","https://openalex.org/W2542762620","https://openalex.org/W2543071036","https://openalex.org/W2544432894","https://openalex.org/W6607710998","https://openalex.org/W6691349097"],"related_works":["https://openalex.org/W2478195092","https://openalex.org/W4312351362","https://openalex.org/W2362145073","https://openalex.org/W2358338760","https://openalex.org/W183073912","https://openalex.org/W2745063183","https://openalex.org/W4293926484","https://openalex.org/W1989753795","https://openalex.org/W3133699834","https://openalex.org/W2542622692"],"abstract_inverted_index":{"In":[0,91],"this":[1,120],"paper":[2,121],"we":[3],"present":[4],"a":[5,34,53,67,72,79,93,147,189],"new":[6,19,48,94,185],"robot":[7,22,143,179],"control":[8],"and":[9,29,50,82,131,167],"learning":[10,126],"framework.":[11],"By":[12],"integrating":[13],"previously":[14],"presented":[15,99],"as":[16,18,78],"well":[17],"methods,":[20],"the":[21,56,89,107,111,115,124,129,141,163,168,178,182,193,202],"is":[23,60,64,76,98,101,122,134],"able":[24],"to":[25,42,47,136,180],"learn":[26],"an":[27,137,159],"invariant":[28],"generic":[30,45],"movement":[31,95,183],"representation":[32],"from":[33,146,158,173],"human":[35,73,148],"tutor.":[36,149],"We":[37],"argue":[38],"that":[39,87,100,156,192],"in":[40,114,139,184],"order":[41],"apply":[43],"such":[44],"representations":[46],"situations":[49],"thus":[51],"create":[52],"flexible":[54],"system,":[55],"use":[57],"of":[58,71,119,128,162,170],"interaction":[59,63],"beneficial.":[61],"The":[62,117,150],"based":[65,102],"on":[66,103,123],"kinematically":[68],"controlled":[69],"model":[70],"tutor,":[74],"which":[75,140],"used":[77],"model-based":[80],"filter":[81],"also":[83],"for":[84],"recognizing":[85],"postures":[86],"influence":[88],"interaction.":[90],"addition,":[92],"segmentation":[96],"scheme":[97],"correlating":[104],"movements":[105],"by":[106,201],"tutor's":[108],"hand":[109],"with":[110],"salient":[112],"objects":[113],"scene.":[116],"focus":[118],"interactive":[125],"aspects":[127],"system":[130,151],"particular":[132],"emphasis":[133],"given":[135],"experiment":[138],"humanoid":[142],"ASIMO":[144],"learns":[145],"includes":[152],"extensive":[153],"generalization":[154],"capabilities":[155],"result":[157],"online":[160],"adaption":[161],"robot's":[164],"body":[165],"schema":[166],"exploitation":[169],"inter-trial":[171],"variance":[172],"multiple":[174],"demonstrations.":[175],"This":[176],"enables":[177],"reproduce":[181],"situations.":[186],"For":[187],"example,":[188],"stacking":[190],"task":[191],"tutor":[194],"performed":[195],"one-handed":[196],"can":[197],"be":[198],"executed":[199],"bi-manually":[200],"robot.":[203]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
