{"id":"https://openalex.org/W3093478373","doi":"https://doi.org/10.1109/ro-man47096.2020.9223570","title":"Robocentric Conversational Group Discovery","display_name":"Robocentric Conversational Group Discovery","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3093478373","doi":"https://doi.org/10.1109/ro-man47096.2020.9223570","mag":"3093478373"},"language":"en","primary_location":{"id":"doi:10.1109/ro-man47096.2020.9223570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man47096.2020.9223570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5015646659","display_name":"Viktor Schmuck","orcid":null},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Viktor Schmuck","raw_affiliation_strings":["Department of Engineering, King\u2019s College London, London, United Kingdom","Department of Engineering, King's College London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, King\u2019s College London, London, United Kingdom","institution_ids":["https://openalex.org/I183935753"]},{"raw_affiliation_string":"Department of Engineering, King's College London, London, United Kingdom","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033901766","display_name":"Tingran Sheng","orcid":null},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tingran Sheng","raw_affiliation_strings":["Department of Engineering, King\u2019s College London, London, United Kingdom","Department of Engineering, King's College London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, King\u2019s College London, London, United Kingdom","institution_ids":["https://openalex.org/I183935753"]},{"raw_affiliation_string":"Department of Engineering, King's College London, London, United Kingdom","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059459055","display_name":"Oya \u00c7eliktutan","orcid":"https://orcid.org/0000-0002-7213-6359"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Oya Celiktutan","raw_affiliation_strings":["Department of Engineering, King\u2019s College London, London, United Kingdom","Department of Engineering, King's College London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, King\u2019s College London, London, United Kingdom","institution_ids":["https://openalex.org/I183935753"]},{"raw_affiliation_string":"Department of Engineering, King's College London, London, United Kingdom","institution_ids":["https://openalex.org/I183935753"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183935753"],"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":"58","issue":null,"first_page":"1288","last_page":"1293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.9994999766349792,"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/computer-science","display_name":"Computer science","score":0.7180041074752808},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6748600006103516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6720147728919983},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5787642002105713},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5325357913970947},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.508801281452179},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.46002426743507385},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.458874374628067},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4294261038303375},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40217772126197815},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38895753026008606},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20254191756248474}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7180041074752808},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6748600006103516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6720147728919983},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5787642002105713},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5325357913970947},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.508801281452179},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.46002426743507385},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.458874374628067},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4294261038303375},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40217772126197815},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38895753026008606},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20254191756248474}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ro-man47096.2020.9223570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man47096.2020.9223570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.4699999988079071,"display_name":"Reduced inequalities"},{"id":"https://metadata.un.org/sdg/4","score":0.4699999988079071,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1598140581","https://openalex.org/W1861492603","https://openalex.org/W1970701564","https://openalex.org/W1999547171","https://openalex.org/W2016381774","https://openalex.org/W2036721747","https://openalex.org/W2042127251","https://openalex.org/W2051224630","https://openalex.org/W2067589702","https://openalex.org/W2080868736","https://openalex.org/W2085487226","https://openalex.org/W2125215748","https://openalex.org/W2139992310","https://openalex.org/W2147806277","https://openalex.org/W2149705965","https://openalex.org/W2161969291","https://openalex.org/W2193145675","https://openalex.org/W2382793131","https://openalex.org/W2579152745","https://openalex.org/W2591833252","https://openalex.org/W2712083912","https://openalex.org/W2768504120","https://openalex.org/W2792512374","https://openalex.org/W2897819140","https://openalex.org/W2902541409","https://openalex.org/W2947311533","https://openalex.org/W2963037989","https://openalex.org/W2963566548","https://openalex.org/W2981732798","https://openalex.org/W2984783871","https://openalex.org/W2995973729","https://openalex.org/W3106250896","https://openalex.org/W6756787452"],"related_works":["https://openalex.org/W2385859805","https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2530972254","https://openalex.org/W2952760143","https://openalex.org/W2017776670","https://openalex.org/W2347897961","https://openalex.org/W2340870721","https://openalex.org/W3200375535"],"abstract_inverted_index":{"Detecting":[0],"people":[1],"interacting":[2],"and":[3,17,66,87,120],"conversing":[4],"with":[5,14],"each":[6],"other":[7],"is":[8],"essential":[9],"to":[10],"equipping":[11],"social":[12,22,79],"robots":[13],"autonomous":[15],"navigation":[16],"service":[18],"capabilities":[19],"in":[20,36,124],"crowded":[21],"scenes.":[23],"In":[24],"this":[25,45],"paper,":[26],"we":[27,47,100],"introduced":[28],"a":[29,40,49,78,133],"method":[30,106],"for":[31],"unsupervised":[32,103],"conversational":[33],"group":[34,104,129],"detection":[35,105,130],"images":[37,70],"captured":[38,88],"from":[39],"mobile":[41],"robot's":[42],"perspective.":[43],"To":[44],"end,":[46],"collected":[48],"novel":[50],"dataset":[51,60],"called":[52],"Robocentric":[53],"Indoor":[54],"Crowd":[55],"Analysis":[56],"(RICA).":[57],"The":[58],"RICA":[59,98],"features":[61,123],"over":[62],"100,000":[63],"RGB,":[64],"depth,":[65],"wide-":[67],"angle":[68],"camera":[69],"as":[71,73],"well":[72],"LIDAR":[74],"readings,":[75],"recorded":[76],"during":[77],"event":[80],"where":[81],"the":[82,97,117,125],"robot":[83],"navigated":[84],"between":[85],"participants":[86],"interactions":[89],"among":[90],"groups":[91],"using":[92,121],"its":[93],"on-board":[94],"sensors.":[95],"Using":[96],"dataset,":[99],"implemented":[101],"an":[102],"based":[107],"on":[108,137],"agglomerative":[109],"hierarchical":[110],"clustering.":[111],"Our":[112],"results":[113],"show":[114],"that":[115],"incorporating":[116],"depth":[118],"modality":[119],"normalised":[122],"clustering":[126],"algorithm":[127],"improved":[128],"accuracy":[131],"by":[132],"margin":[134],"of":[135],"3%":[136],"average.":[138]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}