{"id":"https://openalex.org/W2908684875","doi":"https://doi.org/10.1109/iros.2018.8594452","title":"Teaching Robots to Predict Human Motion","display_name":"Teaching Robots to Predict Human Motion","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2908684875","doi":"https://doi.org/10.1109/iros.2018.8594452","mag":"2908684875"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2018.8594452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2018.8594452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5016962709","display_name":"Liang-Yan Gui","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Liang-Yan Gui","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100629183","display_name":"Kevin Zhang","orcid":"https://orcid.org/0000-0003-3524-7719"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin Zhang","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102952938","display_name":"Yu-Xiong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu-Xiong Wang","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047878798","display_name":"Xiaodan Liang","orcid":"https://orcid.org/0000-0003-3213-3062"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaodan Liang","raw_affiliation_strings":["Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045861415","display_name":"Jos\u00e9 M. F. Moura","orcid":"https://orcid.org/0000-0002-9822-8294"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jose M. F. Moura","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088276691","display_name":"Manuela Veloso","orcid":"https://orcid.org/0000-0001-6738-238X"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Manuela Veloso","raw_affiliation_strings":["Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5016962709"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":6.0553,"has_fulltext":false,"cited_by_count":124,"citation_normalized_percentile":{"value":0.97309795,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"562","last_page":"567"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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/T12290","display_name":"Human Motion and Animation","score":0.9990000128746033,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.7897505760192871},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.7828139662742615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7203713655471802},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6842613220214844},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.6280556917190552},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5233780145645142},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5185071229934692},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4893328547477722},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.43220779299736023},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.42292842268943787},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32546213269233704}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7897505760192871},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.7828139662742615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7203713655471802},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6842613220214844},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.6280556917190552},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5233780145645142},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5185071229934692},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4893328547477722},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.43220779299736023},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.42292842268943787},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32546213269233704},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2018.8594452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2018.8594452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W648143168","https://openalex.org/W648786980","https://openalex.org/W1483019628","https://openalex.org/W1486649854","https://openalex.org/W1735317348","https://openalex.org/W2034792058","https://openalex.org/W2064675550","https://openalex.org/W2066261402","https://openalex.org/W2099320314","https://openalex.org/W2099471712","https://openalex.org/W2101032778","https://openalex.org/W2110935301","https://openalex.org/W2114216982","https://openalex.org/W2124609748","https://openalex.org/W2158164339","https://openalex.org/W2293741035","https://openalex.org/W2296073425","https://openalex.org/W2336236730","https://openalex.org/W2343568200","https://openalex.org/W2520707650","https://openalex.org/W2546066744","https://openalex.org/W2559085405","https://openalex.org/W2593216298","https://openalex.org/W2594167370","https://openalex.org/W2730676472","https://openalex.org/W2807782124","https://openalex.org/W2899771611","https://openalex.org/W2901136733","https://openalex.org/W2949099979","https://openalex.org/W2951523806","https://openalex.org/W2953267996","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963125871","https://openalex.org/W2963165299","https://openalex.org/W2963684088","https://openalex.org/W2964049455","https://openalex.org/W2964199361","https://openalex.org/W2964203186","https://openalex.org/W2964303162","https://openalex.org/W4231947169","https://openalex.org/W4297772798","https://openalex.org/W4320013936","https://openalex.org/W6621378261","https://openalex.org/W6621543089","https://openalex.org/W6629028937","https://openalex.org/W6674904848","https://openalex.org/W6676977166","https://openalex.org/W6677265961","https://openalex.org/W6683128514","https://openalex.org/W6685352114","https://openalex.org/W6691096134","https://openalex.org/W6726983635","https://openalex.org/W6729001083","https://openalex.org/W6729046916","https://openalex.org/W6740666249","https://openalex.org/W6756040250","https://openalex.org/W6756486208"],"related_works":["https://openalex.org/W1827696521","https://openalex.org/W2039848376","https://openalex.org/W2173450654","https://openalex.org/W2621720158","https://openalex.org/W2130272765","https://openalex.org/W1996800738","https://openalex.org/W2091722187","https://openalex.org/W2006196742","https://openalex.org/W2055991023","https://openalex.org/W2089042722"],"abstract_inverted_index":{"Teaching":[0],"a":[1,8,19,26,40,44,96,100,105,129,178,184],"robot":[2,41,63,91,168],"to":[3,67,151,172],"predict":[4],"and":[5,33,52,118,140],"mimic":[6],"how":[7],"human":[9,23,71,76],"moves":[10],"or":[11],"acts":[12],"in":[13,30,177],"the":[14,62,69,81,90,135,157,167,174],"near":[15],"future":[16],"by":[17,47,122],"observing":[18],"series":[20],"of":[21,104,107],"historical":[22,88],"movements":[24],"is":[25,138],"crucial":[27],"first":[28],"step":[29],"human-robot":[31],"interaction":[32],"collaboration.":[34],"In":[35],"this":[36,87,163],"paper,":[37],"we":[38,127],"instrument":[39],"with":[42,80,183],"such":[43],"prediction":[45,149],"ability":[46,171],"leveraging":[48],"recent":[49],"deep":[50],"learning":[51],"computer":[53],"vision":[54],"techniques.":[55],"First,":[56],"our":[57],"system":[58],"takes":[59],"images":[60],"from":[61,115],"camera":[64],"as":[65],"input":[66],"produce":[68],"corresponding":[70,101],"skeleton":[72],"based":[73],"on":[74,86,156,162],"real-time":[75],"pose":[77],"estimation":[78],"obtained":[79],"OpenPose":[82],"library.":[83],"Then,":[84],"conditioning":[85],"sequence,":[89],"forecasts":[92],"plausible":[93],"motion":[94,97,144,164,176],"through":[95],"predictor,":[98],"generating":[99],"demonstration.":[102],"Because":[103],"lack":[106],"high-level":[108],"fidelity":[109],"validation,":[110],"existing":[111],"forecasting":[112],"algorithms":[113],"suffer":[114],"error":[116],"accumulation":[117],"inaccurate":[119],"prediction.":[120],"Inspired":[121],"generative":[123],"adversarial":[124],"networks":[125],"(GANs),":[126],"introduce":[128],"global":[130],"discriminator":[131],"that":[132],"examines":[133],"whether":[134],"predicted":[136,175],"sequence":[137],"smooth":[139],"realistic.":[141],"Our":[142],"resulting":[143],"GAN":[145,165],"model":[146],"achieves":[147],"superior":[148],"performance":[150],"state-of-the-art":[152],"approaches":[153],"when":[154,181],"evaluated":[155],"standard":[158],"H3.6M":[159],"dataset.":[160],"Based":[161],"model,":[166],"demonstrates":[169],"its":[170],"replay":[173],"human-like":[179],"manner":[180],"interacting":[182],"person.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":5}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
