{"id":"https://openalex.org/W7131419178","doi":"https://doi.org/10.48550/arxiv.2602.20219","title":"An Approach to Combining Video and Speech with Large Language Models in Human-Robot Interaction","display_name":"An Approach to Combining Video and Speech with Large Language Models in Human-Robot Interaction","publication_year":2026,"publication_date":"2026-02-23","ids":{"openalex":"https://openalex.org/W7131419178","doi":"https://doi.org/10.48550/arxiv.2602.20219"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2602.20219","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.20219","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2602.20219","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Shen, Guanting","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Guanting","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Tian, Zi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian, Zi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"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":0.21199999749660492,"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":0.21199999749660492,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.18479999899864197,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.1387999951839447,"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/robustness","display_name":"Robustness (evolution)","score":0.573199987411499},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5460000038146973},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4471000134944916},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.438400000333786},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.4341999888420105},{"id":"https://openalex.org/keywords/spoken-language","display_name":"Spoken language","score":0.3928999900817871},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3774000108242035},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.3702000081539154},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.36039999127388}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8258000016212463},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.573199987411499},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5698000192642212},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5460000038146973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46950000524520874},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4471000134944916},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.438400000333786},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.4341999888420105},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.3928999900817871},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3774000108242035},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.3702000081539154},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.36039999127388},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3499999940395355},{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.3271999955177307},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.310699999332428},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.3091999888420105},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.30799999833106995},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2840000092983246},{"id":"https://openalex.org/C135641252","wikidata":"https://www.wikidata.org/wiki/Q738567","display_name":"Multimodal interaction","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C193125573","wikidata":"https://www.wikidata.org/wiki/Q7449065","display_name":"Semantic interpretation","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.27790001034736633},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.2757999897003174},{"id":"https://openalex.org/C174252522","wikidata":"https://www.wikidata.org/wiki/Q3816772","display_name":"Natural language user interface","level":3,"score":0.2639999985694885},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.2563999891281128},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2531000077724457},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25189998745918274},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2602.20219","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.20219","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2602.20219","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.20219","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":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Interpreting":[0],"human":[1],"intent":[2],"accurately":[3],"is":[4],"a":[5,13,30,52,79,115,139,149],"central":[6],"challenge":[7],"in":[8],"human-robot":[9,157],"interaction":[10],"(HRI)":[11],"and":[12,20,25,42,48,71,81,95,106,125,141,155,163],"key":[14],"requirement":[15],"for":[16,62,67,73,84,144],"achieving":[17],"more":[18,153],"natural":[19,68,156],"intuitive":[21,82],"collaboration":[22,158],"between":[23],"humans":[24],"machines.":[26],"This":[27],"work":[28],"presents":[29],"novel":[31],"multimodal":[32],"HRI":[33,146],"framework":[34],"that":[35],"combines":[36],"advanced":[37],"vision-language":[38,164],"models,":[39],"speech":[40,74,162],"processing,":[41],"fuzzy":[43],"logic":[44],"to":[45],"enable":[46],"precise":[47],"adaptive":[49],"control":[50],"of":[51,103,119,127],"Dobot":[53],"Magician":[54],"robotic":[55],"arm.":[56],"The":[57],"proposed":[58,135],"system":[59],"integrates":[60],"Florence-2":[61],"object":[63,85],"detection,":[64],"Llama":[65],"3.1":[66],"language":[69],"understanding,":[70],"Whisper":[72],"recognition,":[75],"providing":[76],"users":[77],"with":[78],"seamless":[80],"interface":[83],"manipulation":[86],"through":[87,159],"spoken":[88],"commands.":[89],"By":[90],"jointly":[91],"addressing":[92],"scene":[93],"perception":[94],"action":[96],"planning,":[97],"the":[98,101,123,128,134],"approach":[99],"enhances":[100],"reliability":[102],"command":[104,116],"interpretation":[105],"execution.":[107],"Experimental":[108],"evaluations":[109],"conducted":[110],"on":[111],"consumer-grade":[112],"hardware":[113],"demonstrate":[114],"execution":[117],"accuracy":[118],"75\\%,":[120],"highlighting":[121],"both":[122],"robustness":[124],"adaptability":[126],"system.":[129],"Beyond":[130],"its":[131],"current":[132],"performance,":[133],"architecture":[136],"serves":[137],"as":[138],"flexible":[140],"extensible":[142],"foundation":[143],"future":[145],"research,":[147],"offering":[148],"practical":[150],"pathway":[151],"toward":[152],"sophisticated":[154],"tightly":[160],"coupled":[161],"processing.":[165]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-17T00:00:00"}
