{"id":"https://openalex.org/W4392633394","doi":"https://doi.org/10.1145/3610977.3638460","title":"What Do Foundation Models have to Do With and For HRI?","display_name":"What Do Foundation Models have to Do With and For HRI?","publication_year":2024,"publication_date":"2024-03-10","ids":{"openalex":"https://openalex.org/W4392633394","doi":"https://doi.org/10.1145/3610977.3638460"},"language":"en","primary_location":{"id":"doi:10.1145/3610977.3638460","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3610977.3638460","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction","raw_type":"proceedings-article"},"type":"conference-abstract","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/A5090570382","display_name":"Carolina Parada","orcid":"https://orcid.org/0009-0000-7772-4646"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Carolina Parada","raw_affiliation_strings":["Google DeepMind Robotics, Boulder, CO, USA"],"raw_orcid":"https://orcid.org/0009-0000-7772-4646","affiliations":[{"raw_affiliation_string":"Google DeepMind Robotics, Boulder, CO, USA","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5090570382"],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.2556000053882599,"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"}},"topics":[{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.2556000053882599,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.6260692477226257},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.615001380443573},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.0797320306301117}],"concepts":[{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.6260692477226257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.615001380443573},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0797320306301117},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3610977.3638460","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3610977.3638460","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2381393187","https://openalex.org/W2332779545","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2358060160","https://openalex.org/W2035483685","https://openalex.org/W2376932109","https://openalex.org/W1969764885","https://openalex.org/W2001405890"],"abstract_inverted_index":{"Foundation":[0],"models":[1,11,30,47,62,96,120,148,196],"have":[2,12,98,140],"unlocked":[3],"major":[4],"advancements":[5],"in":[6,53,101,144],"AI.":[7],"What":[8],"do":[9,14],"foundation":[10,29,46,61,95,119,147,195],"to":[13,59,63,71,116,139,155,168,186],"with":[15],"and":[16,34,77,127,135,142,184],"for":[17,31,166],"Human-Robot":[18],"Interaction":[19],"-":[20],"And":[21],"how":[22,45,58],"can":[23],"HRI":[24,112,134,167],"help":[25],"unlock":[26,169],"more":[27,124,182],"powerful":[28,125],"robot":[32,88,129,136,170,204],"learning":[33,137,171],"embodied":[35],"reasoning?":[36],"In":[37],"this":[38],"talk,":[39],"I":[40,105],"will":[41,106,177,191,198],"discuss":[42],"examples":[43],"of":[44,133,203],"could":[48,113],"enable":[49,64,68,192],"a":[50,163],"step":[51],"function":[52],"human-robot":[54,66,102],"interaction":[55,103],"research,":[56],"including:":[57],"leverage":[60],"multimodal":[65],"communication,":[67],"non-expert":[69],"users":[70],"teach":[72],"robots":[73,179],"new":[74,86],"low-level":[75],"skills":[76],"personalized":[78],"high":[79],"level":[80],"plans":[81],"through":[82],"natural":[83],"interactions,":[84,126],"create":[85],"expressive":[87],"behaviors,":[89],"etc.":[90],"At":[91],"the":[92,118,151,194],"same":[93],"time,":[94],"still":[97],"significant":[99],"gaps":[100],"contexts.":[104],"share":[107],"early":[108],"insights":[109],"showing":[110],"that":[111,180,197],"be":[114,150],"key":[115],"evolving":[117],"themselves,":[121],"enabling":[122],"even":[123],"improving":[128,193],"learning.":[130,205],"The":[131],"fields":[132,158],"seem":[138],"evolved":[141],"grown":[143],"parallel,":[145],"but":[146,188],"might":[149],"breakthrough":[152],"we":[153],"needed":[154],"bring":[156],"these":[157],"together.":[159],"Now":[160],"there":[161],"is":[162],"unique":[164],"opportunity":[165],"in-the-wild,":[172],"not":[173],"only":[174],"because":[175,189],"it":[176,190],"yield":[178],"are":[181],"useful":[183],"adaptable":[185],"humans,":[187],"likely":[199],"affect":[200],"every":[201],"aspect":[202]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
