{"id":"https://openalex.org/W1997458507","doi":"https://doi.org/10.1145/1349822.1349852","title":"Multi-thresholded approach to demonstration selection for interactive robot learning","display_name":"Multi-thresholded approach to demonstration selection for interactive robot learning","publication_year":2008,"publication_date":"2008-03-12","ids":{"openalex":"https://openalex.org/W1997458507","doi":"https://doi.org/10.1145/1349822.1349852","mag":"1997458507"},"language":"en","primary_location":{"id":"doi:10.1145/1349822.1349852","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1349822.1349852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction","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/A5033265891","display_name":"Sonia Chernova","orcid":"https://orcid.org/0000-0001-6320-0825"},"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":"Sonia Chernova","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, USA","[Computer Science Dept., Carnegie Mellon University, Pittsburgh, PA, USA]"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"[Computer Science Dept., 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":["Carnegie Mellon University, Pittsburgh, USA","[Computer Science Dept., Carnegie Mellon University, Pittsburgh, PA, USA]"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"[Computer Science Dept., Carnegie Mellon University, Pittsburgh, PA, USA]","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033265891"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":11.7317,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.98326392,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"225","last_page":"232"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9994000196456909,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9994000196456909,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9994000196456909,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9979000091552734,"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/computer-science","display_name":"Computer science","score":0.7445688843727112},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.7052054405212402},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6896861791610718},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6387543082237244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6116185188293457},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6005331873893738},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5525083541870117},{"id":"https://openalex.org/keywords/action-selection","display_name":"Action selection","score":0.4200507402420044},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07982385158538818}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7445688843727112},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.7052054405212402},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6896861791610718},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6387543082237244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6116185188293457},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6005331873893738},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5525083541870117},{"id":"https://openalex.org/C166109690","wikidata":"https://www.wikidata.org/wiki/Q4677422","display_name":"Action selection","level":3,"score":0.4200507402420044},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07982385158538818},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1349822.1349852","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1349822.1349852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"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":17,"referenced_works":["https://openalex.org/W1539761902","https://openalex.org/W1965218672","https://openalex.org/W1971890413","https://openalex.org/W1999874108","https://openalex.org/W2029456675","https://openalex.org/W2068755782","https://openalex.org/W2080021732","https://openalex.org/W2108157636","https://openalex.org/W2119388568","https://openalex.org/W2154342426","https://openalex.org/W2154633587","https://openalex.org/W2164568552","https://openalex.org/W2303345904","https://openalex.org/W2913447261","https://openalex.org/W4365799919","https://openalex.org/W6676314958","https://openalex.org/W7074228229"],"related_works":["https://openalex.org/W2012531322","https://openalex.org/W2402761219","https://openalex.org/W2785900585","https://openalex.org/W2353730437","https://openalex.org/W2490303674","https://openalex.org/W2609066826","https://openalex.org/W2389015757","https://openalex.org/W3213722473","https://openalex.org/W2110944602","https://openalex.org/W2077555735"],"abstract_inverted_index":{"Effective":[0],"learning":[1],"from":[2,12],"demonstration":[3,50,67],"techniques":[4],"enable":[5],"complex":[6],"robot":[7,33,56],"behaviors":[8],"to":[9,27,39,57,79,112,129,138,161],"be":[10],"taught":[11],"a":[13,49,72,80,91,96,103,122,133,143],"small":[14],"number":[15,19,157],"of":[16,20,82,89,99,124,158],"demonstrations.":[17],"A":[18],"recent":[21],"works":[22],"have":[23],"explored":[24],"interactive":[25],"approaches":[26,65],"demonstration,":[28],"in":[29],"which":[30,76],"both":[31],"the":[32,35,55,87,117,150,156,163],"and":[34,101,137],"teacher":[36],"are":[37],"able":[38],"select":[40],"training":[41],"examples.":[42],"In":[43],"this":[44],"paper,":[45],"we":[46],"focus":[47],"on":[48,71],"selection":[51,68,127,131,141],"algorithm":[52],"used":[53],"by":[54,142],"identify":[58],"informative":[59],"states":[60,115],"for":[61,66,95,105],"demonstration.":[62],"Existing":[63],"automated":[64,151],"typically":[69],"rely":[70],"single":[73,92,134],"threshold":[74,94],"value,":[75],"is":[77],"applied":[78],"measure":[81],"action":[83],"confidence.":[84],"We":[85,120],"highlight":[86],"limitations":[88],"using":[90,132],"fixed":[93,135],"specific":[97],"subset":[98],"algorithms,":[100],"contribute":[102],"method":[104,128],"automatically":[106],"setting":[107],"multiple":[108],"confidence":[109],"thresholds":[110],"designed":[111],"target":[113],"domain":[114],"with":[116],"greatest":[118],"uncertainty.":[119],"present":[121],"comparison":[123],"our":[125],"multi-threshold":[126,152],"confidence-based":[130],"threshold,":[136],"manual":[139],"data":[140],"human":[144],"teacher.":[145],"Our":[146],"results":[147],"indicate":[148],"that":[149],"approach":[153],"significantly":[154],"reduces":[155],"demonstrations":[159],"required":[160],"learn":[162],"task.":[164]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":5},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}