{"id":"https://openalex.org/W3129900808","doi":"https://doi.org/10.1109/lra.2021.3058917","title":"A Scalable Approach to Predict Multi-Agent Motion for Human-Robot Collaboration","display_name":"A Scalable Approach to Predict Multi-Agent Motion for Human-Robot Collaboration","publication_year":2021,"publication_date":"2021-02-13","ids":{"openalex":"https://openalex.org/W3129900808","doi":"https://doi.org/10.1109/lra.2021.3058917","mag":"3129900808"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2021.3058917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2021.3058917","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-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/A5086074961","display_name":"Mohammad Samin Yasar","orcid":"https://orcid.org/0000-0002-4684-2823"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Samin Yasar","raw_affiliation_strings":["School of Engineering and Applied Science, University of Virginia, Charlottesville, Virginia, USA"],"raw_orcid":"https://orcid.org/0000-0002-4684-2823","affiliations":[{"raw_affiliation_string":"School of Engineering and Applied Science, University of Virginia, Charlottesville, Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101779827","display_name":"Tariq Iqbal","orcid":"https://orcid.org/0000-0003-0133-1234"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tariq Iqbal","raw_affiliation_strings":["School of Engineering and Applied Science, University of Virginia, Charlottesville, Virginia, USA"],"raw_orcid":"https://orcid.org/0000-0003-0133-1234","affiliations":[{"raw_affiliation_string":"School of Engineering and Applied Science, University of Virginia, Charlottesville, Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I51556381"],"apc_list":null,"apc_paid":null,"fwci":3.5902,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.94185372,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"6","issue":"2","first_page":"1686","last_page":"1693"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9969000220298767,"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/T12290","display_name":"Human Motion and Animation","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.7318637371063232},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7166917324066162},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6700917482376099},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6207671165466309},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.564359188079834},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5186464190483093},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.5068569779396057},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5057461261749268},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5035297274589539},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.48204001784324646},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.48148810863494873},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.4478795528411865},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.43590059876441956},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4210949242115021},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1166985034942627},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09664055705070496}],"concepts":[{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.7318637371063232},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7166917324066162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6700917482376099},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6207671165466309},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.564359188079834},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5186464190483093},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.5068569779396057},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5057461261749268},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5035297274589539},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.48204001784324646},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.48148810863494873},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.4478795528411865},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.43590059876441956},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4210949242115021},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1166985034942627},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09664055705070496},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2021.3058917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2021.3058917","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1735317348","https://openalex.org/W1840106123","https://openalex.org/W1959608418","https://openalex.org/W2016589492","https://openalex.org/W2065804258","https://openalex.org/W2086207208","https://openalex.org/W2099471712","https://openalex.org/W2118607666","https://openalex.org/W2187089797","https://openalex.org/W2215643317","https://openalex.org/W2290354516","https://openalex.org/W2296311849","https://openalex.org/W2296332048","https://openalex.org/W2346286924","https://openalex.org/W2424778531","https://openalex.org/W2592391419","https://openalex.org/W2594167370","https://openalex.org/W2607296803","https://openalex.org/W2790666199","https://openalex.org/W2791385109","https://openalex.org/W2891091472","https://openalex.org/W2927819804","https://openalex.org/W2963001155","https://openalex.org/W2963165299","https://openalex.org/W2963324990","https://openalex.org/W2963403868","https://openalex.org/W2963499233","https://openalex.org/W2963703618","https://openalex.org/W2963891243","https://openalex.org/W2964121744","https://openalex.org/W2964134613","https://openalex.org/W2964147651","https://openalex.org/W2964203186","https://openalex.org/W2968603329","https://openalex.org/W2982745079","https://openalex.org/W2993797559","https://openalex.org/W3009807960","https://openalex.org/W3016943329","https://openalex.org/W3033920763","https://openalex.org/W3045019771","https://openalex.org/W3090359064","https://openalex.org/W3105214888","https://openalex.org/W3106257603","https://openalex.org/W3107552218","https://openalex.org/W3130174139","https://openalex.org/W3133191957","https://openalex.org/W4293568373","https://openalex.org/W4297824908","https://openalex.org/W4320013936","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6640963894","https://openalex.org/W6734770023","https://openalex.org/W6739901393","https://openalex.org/W6743446608","https://openalex.org/W6751254666","https://openalex.org/W6774330597","https://openalex.org/W6780248173"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W2965083567","https://openalex.org/W2357256365","https://openalex.org/W4235240664","https://openalex.org/W1838576100","https://openalex.org/W2757182831","https://openalex.org/W2095886385","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550"],"abstract_inverted_index":{"Human":[0],"motion":[1,18,58,94,107,136],"prediction":[2,108],"is":[3],"considered":[4],"a":[5,26,44,51,65],"key":[6],"component":[7],"for":[8,73,132,144],"enabling":[9],"fluent":[10],"human-robot":[11,114,159],"collaboration.":[12,160],"The":[13,117,138],"ability":[14],"to":[15,30],"anticipate":[16],"the":[17,23,31,55,88,98,128],"and":[19,33,59,76,79,113,134,147],"subsequent":[20],"intent":[21],"of":[22,36,67,91,141],"partner(s)":[24],"remains":[25],"challenging":[27],"task":[28],"due":[29],"complex":[32],"interpersonal":[34],"nature":[35],"human":[37,57,93],"behavior.":[38],"In":[39],"this":[40],"work,":[41],"we":[42],"propose":[43],"novel":[45],"sequence":[46],"learning":[47],"approach":[48,71,100,122,143],"that":[49,86,120],"learns":[50],"robust":[52],"representation":[53],"over":[54,64,126],"observed":[56],"can":[60,156],"condition":[61],"future":[62],"predictions":[63],"subset":[66],"past":[68],"sequences.":[69],"Our":[70],"works":[72],"both":[74,145],"single":[75,146],"multi-agent":[77,135,148],"settings":[78],"relies":[80],"on":[81,110],"an":[82,152],"interpretable":[83,153],"latent":[84,154],"space":[85],"has":[87],"implicit":[89],"benefit":[90],"improving":[92],"understanding.":[95],"We":[96],"evaluated":[97,129],"proposed":[99],"by":[101],"comparing":[102],"its":[103],"performance":[104,140],"against":[105],"state-of-the-art":[106],"methods":[109,125],"single,":[111],"multi-agent,":[112],"collaboration":[115],"datasets.":[116],"results":[118],"suggest":[119],"our":[121,142],"outperforms":[123],"other":[124],"all":[127],"temporal":[130],"horizons,":[131],"single-agent":[133],"prediction.":[137],"improved":[139],"settings,":[149],"coupled":[150],"with":[151],"space,":[155],"enable":[157],"close-proximity":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":8}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
