{"id":"https://openalex.org/W2159336829","doi":"https://doi.org/10.1109/icsmc.2007.4414025","title":"In situ interactive teaching of trustworthy robotic assistants","display_name":"In situ interactive teaching of trustworthy robotic assistants","publication_year":2007,"publication_date":"2007-10-01","ids":{"openalex":"https://openalex.org/W2159336829","doi":"https://doi.org/10.1109/icsmc.2007.4414025","mag":"2159336829"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2007.4414025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2007.4414025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://repository.gatech.edu/bitstreams/827aadca-1d27-4e75-8d43-3f8e9605fe90/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089731310","display_name":"Sekou L. Remy","orcid":"https://orcid.org/0000-0003-2332-6890"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sekou Remy","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038825611","display_name":"Ayanna Howard","orcid":"https://orcid.org/0000-0003-2609-9371"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ayanna M. Howard","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089731310"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":1.7418,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.88582255,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"30","issue":null,"first_page":"1280","last_page":"1285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9918000102043152,"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"}},"topics":[{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9918000102043152,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9868999719619751,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9847999811172485,"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/teleoperation","display_name":"Teleoperation","score":0.8224263191223145},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.7968581914901733},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7640699744224548},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.6368612051010132},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.584516704082489},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4751184582710266},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.47350838780403137},{"id":"https://openalex.org/keywords/interactive-learning","display_name":"Interactive Learning","score":0.43171802163124084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42180395126342773},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.2751169800758362},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09986647963523865}],"concepts":[{"id":"https://openalex.org/C161759796","wikidata":"https://www.wikidata.org/wiki/Q3982902","display_name":"Teleoperation","level":3,"score":0.8224263191223145},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.7968581914901733},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7640699744224548},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.6368612051010132},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.584516704082489},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4751184582710266},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.47350838780403137},{"id":"https://openalex.org/C2776716048","wikidata":"https://www.wikidata.org/wiki/Q6045290","display_name":"Interactive Learning","level":2,"score":0.43171802163124084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42180395126342773},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.2751169800758362},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09986647963523865},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icsmc.2007.4414025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2007.4414025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"},{"id":"pmh:oai:smartech.gatech.edu:1853/38354","is_oa":true,"landing_page_url":"http://hdl.handle.net/1853/38354","pdf_url":"http://repository.gatech.edu/bitstreams/827aadca-1d27-4e75-8d43-3f8e9605fe90/download","source":{"id":"https://openalex.org/S4377196313","display_name":"SMARTech Repository (Georgia Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130701444","host_organization_name":"Georgia Institute of Technology","host_organization_lineage":["https://openalex.org/I130701444"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Proceedings"}],"best_oa_location":{"id":"pmh:oai:smartech.gatech.edu:1853/38354","is_oa":true,"landing_page_url":"http://hdl.handle.net/1853/38354","pdf_url":"http://repository.gatech.edu/bitstreams/827aadca-1d27-4e75-8d43-3f8e9605fe90/download","source":{"id":"https://openalex.org/S4377196313","display_name":"SMARTech Repository (Georgia Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130701444","host_organization_name":"Georgia Institute of Technology","host_organization_lineage":["https://openalex.org/I130701444"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Proceedings"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2159336829.pdf","grobid_xml":"https://content.openalex.org/works/W2159336829.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W61455569","https://openalex.org/W1949075814","https://openalex.org/W1965218672","https://openalex.org/W2019161543","https://openalex.org/W2026990973","https://openalex.org/W2110178871","https://openalex.org/W2111012881","https://openalex.org/W2116165953","https://openalex.org/W2119757950","https://openalex.org/W2135681398","https://openalex.org/W2153756422","https://openalex.org/W2154342426","https://openalex.org/W2169071078","https://openalex.org/W2339534148","https://openalex.org/W3036192984","https://openalex.org/W4245176872","https://openalex.org/W4285719527","https://openalex.org/W6602498601","https://openalex.org/W6657412832","https://openalex.org/W6676388466"],"related_works":["https://openalex.org/W1923069992","https://openalex.org/W2160982102","https://openalex.org/W2048862765","https://openalex.org/W2770942502","https://openalex.org/W4281943815","https://openalex.org/W2364738582","https://openalex.org/W2160932924","https://openalex.org/W2082997813","https://openalex.org/W2296377172","https://openalex.org/W2946737911"],"abstract_inverted_index":{"In":[0,54],"this":[1,55,69],"paper":[2],"we":[3,57,87],"discuss":[4,36],"a":[5,12,32,60],"method":[6,18],"for":[7,65,80],"transferring":[8],"human":[9],"knowledge":[10],"to":[11,27,46,71],"robotic":[13,43],"platform":[14,45],"via":[15],"teleoperation.":[16],"The":[17],"combines":[19],"unsupervised":[20],"clustering":[21],"and":[22,42,62,67,76,86],"classification":[23],"with":[24],"interactive":[25,84],"instruction":[26],"enable":[28],"behavior":[29],"capture":[30],"in":[31,39],"transferable":[33],"form.":[34],"We":[35],"the":[37,48,51],"approach":[38],"both":[40],"simulation":[41],"hardware":[44],"show":[47],"capability":[49],"of":[50,83],"learning":[52],"system.":[53],"work":[56],"also":[58],"present":[59,88],"definition":[61],"associated":[63],"metric":[64],"trustworthiness,":[66],"relate":[68],"quantity":[70],"system":[72],"performance.":[73],"Improved":[74],"performance":[75],"trustworthiness":[77],"are":[78],"motivations":[79],"our":[81],"application":[82],"learning,":[85],"results":[89],"that":[90,92],"indicate":[91],"these":[93],"were":[94],"indeed":[95],"attained.":[96]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}