{"id":"https://openalex.org/W7139914607","doi":"https://doi.org/10.48550/arxiv.2603.18771","title":"Empathetic Motion Generation for Humanoid Educational Robots via Reasoning-Guided Vision--Language--Motion Diffusion Architecture","display_name":"Empathetic Motion Generation for Humanoid Educational Robots via Reasoning-Guided Vision--Language--Motion Diffusion Architecture","publication_year":2026,"publication_date":"2026-03-19","ids":{"openalex":"https://openalex.org/W7139914607","doi":"https://doi.org/10.48550/arxiv.2603.18771"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.18771","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18771","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.18771","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130247810","display_name":"Fuze Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Fuze","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130232580","display_name":"Lingyu Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Lingyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130229075","display_name":"Lekan Dai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dai, Lekan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130233343","display_name":"Xinyu Fan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan, Xinyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.3822000026702881,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.3822000026702881,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.22120000422000885,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.12309999763965607,"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/motion","display_name":"Motion (physics)","score":0.7681999802589417},{"id":"https://openalex.org/keywords/humanoid-robot","display_name":"Humanoid robot","score":0.6743999719619751},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.6474000215530396},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5989999771118164},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5181000232696533},{"id":"https://openalex.org/keywords/controllability","display_name":"Controllability","score":0.48240000009536743},{"id":"https://openalex.org/keywords/doors","display_name":"Doors","score":0.3741999864578247},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.3596999943256378}],"concepts":[{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.7681999802589417},{"id":"https://openalex.org/C60692881","wikidata":"https://www.wikidata.org/wiki/Q584529","display_name":"Humanoid robot","level":3,"score":0.6743999719619751},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6474000215530396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6317999958992004},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5989999771118164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5644999742507935},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5521000027656555},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5181000232696533},{"id":"https://openalex.org/C48209547","wikidata":"https://www.wikidata.org/wiki/Q1331104","display_name":"Controllability","level":2,"score":0.48240000009536743},{"id":"https://openalex.org/C125209513","wikidata":"https://www.wikidata.org/wiki/Q4037520","display_name":"Doors","level":2,"score":0.3741999864578247},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.3596999943256378},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.32910001277923584},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.31200000643730164},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.30970001220703125},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.26910001039505005},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.26089999079704285},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.25450000166893005},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C2779038628","wikidata":"https://www.wikidata.org/wiki/Q7248497","display_name":"Programming by demonstration","level":3,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.18771","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18771","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.18771","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18771","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.742452085018158,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"article":[1],"suggests":[2],"a":[3,66,87,121],"reasoning-guided":[4,131],"vision-language-motion":[5],"diffusion":[6,89],"framework":[7],"(RG-VLMD)":[8],"for":[9,14,124],"generating":[10],"instruction-aware":[11],"co-speech":[12],"gestures":[13],"humanoid":[15],"robots":[16],"in":[17,140],"educational":[18,141],"scenarios.":[19],"The":[20,127],"system":[21],"integrates":[22],"multi-modal":[23],"affective":[24],"estimation,":[25],"pedagogical":[26,138],"reasoning,":[27],"and":[28,35,50,73,97,106,116,137],"teaching-act-conditioned":[29],"motion":[30,68,99,104,111],"synthesis":[31],"to":[32,56,86,120],"enable":[33],"adaptive":[34],"semantically":[36],"consistent":[37],"robot":[38,123],"behavior.":[39],"A":[40],"gated":[41],"mixture-of-experts":[42],"model":[43],"predicts":[44],"Valence/Arousal":[45],"from":[46],"input":[47],"text,":[48],"visual,":[49],"acoustic":[51],"features,":[52],"which":[53],"then":[54],"mapped":[55],"discrete":[57],"teaching-act":[58],"categories":[59],"through":[60],"an":[61],"affect-driven":[62],"policy.These":[63],"signals":[64],"condition":[65],"diffusion-based":[67],"generator":[69],"using":[70],"clip-level":[71],"intent":[72],"frame-level":[74],"instructional":[75,132],"schedules":[76],"via":[77],"additive":[78],"latent":[79],"restriction":[80],"with":[81],"auxiliary":[82],"action-group":[83],"supervision.":[84],"Compared":[85],"baseline":[88],"model,":[90],"our":[91],"proposed":[92],"method":[93],"produces":[94],"more":[95],"structured":[96],"distinctive":[98],"patterns,":[100],"as":[101],"verified":[102],"by":[103],"statics":[105],"pairwise":[107],"distance":[108],"analysis.":[109],"Generated":[110],"sequences":[112],"remain":[113],"physically":[114],"plausible":[115],"can":[117],"be":[118],"retargeted":[119],"NAO":[122],"real-time":[125],"execution.":[126],"results":[128],"reveal":[129],"that":[130],"conditioning":[133],"improves":[134],"gesture":[135],"controllability":[136],"expressiveness":[139],"human-robot":[142],"interaction.":[143]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-21T00:00:00"}
