{"id":"https://openalex.org/W4285981737","doi":"https://doi.org/10.1145/3528233.3530697","title":"Learning to Get Up","display_name":"Learning to Get Up","publication_year":2022,"publication_date":"2022-07-20","ids":{"openalex":"https://openalex.org/W4285981737","doi":"https://doi.org/10.1145/3528233.3530697"},"language":"en","primary_location":{"id":"doi:10.1145/3528233.3530697","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3528233.3530697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings","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/A5000510646","display_name":"Tianxin Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Tianxin Tao","raw_affiliation_strings":["University of British Columbia, Canada"],"affiliations":[{"raw_affiliation_string":"University of British Columbia, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100782723","display_name":"Matthew Wilson","orcid":"https://orcid.org/0000-0002-2378-8828"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Matthew Wilson","raw_affiliation_strings":["University of British Columbia, Canada"],"affiliations":[{"raw_affiliation_string":"University of British Columbia, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042272545","display_name":"Ruiyu Gou","orcid":"https://orcid.org/0009-0003-9851-8501"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ruiyu Gou","raw_affiliation_strings":["University of British Columbia, Canada"],"affiliations":[{"raw_affiliation_string":"University of British Columbia, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052748246","display_name":"Michiel van de Panne","orcid":"https://orcid.org/0000-0002-9123-3672"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Michiel van de Panne","raw_affiliation_strings":["University of British Columbia, Canada"],"affiliations":[{"raw_affiliation_string":"University of British Columbia, Canada","institution_ids":["https://openalex.org/I141945490"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000510646"],"corresponding_institution_ids":["https://openalex.org/I141945490"],"apc_list":null,"apc_paid":null,"fwci":2.0485,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.86310602,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9998999834060669,"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/T12290","display_name":"Human Motion and Animation","score":0.9998999834060669,"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":0.9991000294685364,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9919999837875366,"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/variety","display_name":"Variety (cybernetics)","score":0.8064834475517273},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7651413679122925},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.760871946811676},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6093741059303284},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5521107912063599},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5491356253623962},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.48264437913894653},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4552220106124878},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.4547325074672699},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4260452389717102},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4127481281757355},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33559107780456543},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0930793285369873},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08271646499633789}],"concepts":[{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.8064834475517273},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7651413679122925},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.760871946811676},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6093741059303284},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5521107912063599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5491356253623962},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.48264437913894653},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4552220106124878},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.4547325074672699},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4260452389717102},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4127481281757355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33559107780456543},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0930793285369873},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08271646499633789},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3528233.3530697","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3528233.3530697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1966784014","https://openalex.org/W1996626756","https://openalex.org/W2003584832","https://openalex.org/W2018571963","https://openalex.org/W2020340281","https://openalex.org/W2053621240","https://openalex.org/W2075005272","https://openalex.org/W2087617385","https://openalex.org/W2107742267","https://openalex.org/W2120894402","https://openalex.org/W2140396806","https://openalex.org/W2148863387","https://openalex.org/W2162617871","https://openalex.org/W2550399328","https://openalex.org/W2566610034","https://openalex.org/W2597430783","https://openalex.org/W2796290181","https://openalex.org/W2899718839","https://openalex.org/W2902318149","https://openalex.org/W2942634077","https://openalex.org/W2958043083","https://openalex.org/W2963310566","https://openalex.org/W2964203186","https://openalex.org/W2981479926","https://openalex.org/W2984579799","https://openalex.org/W2986708244","https://openalex.org/W2987886924","https://openalex.org/W3006497026","https://openalex.org/W3036619998","https://openalex.org/W3048474702","https://openalex.org/W3048539707","https://openalex.org/W3048550213","https://openalex.org/W3048710353","https://openalex.org/W3104342477","https://openalex.org/W3104515094","https://openalex.org/W3105609823","https://openalex.org/W3180898512","https://openalex.org/W3202044011","https://openalex.org/W4205985701","https://openalex.org/W4206665678","https://openalex.org/W4214679856","https://openalex.org/W4238945371","https://openalex.org/W4246479614","https://openalex.org/W4256308547","https://openalex.org/W4300892751","https://openalex.org/W6769436500","https://openalex.org/W6786189056"],"related_works":["https://openalex.org/W4251972423","https://openalex.org/W1503216044","https://openalex.org/W2393609567","https://openalex.org/W2369369044","https://openalex.org/W2354143083","https://openalex.org/W2372906645","https://openalex.org/W4319998713","https://openalex.org/W2032233321","https://openalex.org/W2366269494","https://openalex.org/W2349116566"],"abstract_inverted_index":{"Getting":[0],"up":[1],"from":[2,156],"an":[3,217],"arbitrary":[4],"fallen":[5,176],"state":[6],"is":[7,149],"a":[8,47,65,96,123,133,144,194,214,220],"basic":[9],"human":[10,30,39],"skill.":[11],"Existing":[12],"methods":[13],"for":[14,165,171],"learning":[15],"this":[16,43],"skill":[17],"often":[18,183],"generate":[19],"highly":[20],"dynamic":[21],"and":[22,129,173,216],"erratic":[23],"get-up":[24,31,40,107,127,180,200],"motions,":[25],"which":[26,69,166],"do":[27],"not":[28],"resemble":[29],"strategies,":[32,128],"or":[33],"are":[34,169],"based":[35],"on":[36,207],"tracking":[37],"recorded":[38],"motions.":[41],"In":[42],"paper,":[44],"we":[45,161],"present":[46],"staged":[48],"approach":[49],"using":[50],"reinforcement":[51],"learning,":[52],"without":[53],"recourse":[54],"to":[55,81,86,151],"motion":[56],"capture":[57],"data.":[58],"The":[59,137,178],"method":[60,120,206],"first":[61],"takes":[62],"advantage":[63],"of":[64,73,92,126,135,196],"strong":[66],"character":[67],"model,":[68],"facilitates":[70],"the":[71,83,93,105,119,152,199],"discovery":[72],"solution":[74],"modes.":[75],"A":[76],"second":[77],"stage":[78,98],"then":[79],"learns":[80,99],"adapt":[82],"control":[84,100,181],"policy":[85],"work":[87],"with":[88],"progressively":[89],"weaker":[90,106],"versions":[91],"character.":[94],"Finally,":[95],"third":[97],"policies":[101,141,164],"that":[102,115,142,148],"can":[103,121,190],"reproduce":[104],"motions":[108,154],"at":[109,132,193],"much":[110],"slower":[111],"speeds.":[112,136],"We":[113,202],"show":[114],"across":[116],"multiple":[117],"runs,":[118],"discover":[122],"diverse":[124],"variety":[125,134,195],"execute":[130],"them":[131],"results":[138],"usually":[139],"produce":[140],"use":[143],"final":[145],"stand-up":[146],"strategy":[147],"common":[150],"recovery":[153],"seen":[155,170],"all":[157],"initial":[158,175],"states.":[159,177],"However,":[160],"also":[162],"find":[163],"different":[167],"strategies":[168,182],"prone":[172],"supine":[174],"learned":[179],"have":[184],"significant":[185],"static":[186],"stability,":[187],"i.e.,":[188],"they":[189],"be":[191],"paused":[192],"points":[197],"during":[198],"motion.":[201],"further":[203],"test":[204],"our":[205],"novel":[208],"constrained":[209],"scenarios,":[210],"such":[211],"as":[212],"having":[213],"leg":[215],"arm":[218],"in":[219],"cast.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-07-20T00:00:00"}
