{"id":"https://openalex.org/W2095940361","doi":"https://doi.org/10.1109/roman.2008.4600711","title":"Quantifying coherence when learning behaviors via teleoperation","display_name":"Quantifying coherence when learning behaviors via teleoperation","publication_year":2008,"publication_date":"2008-08-01","ids":{"openalex":"https://openalex.org/W2095940361","doi":"https://doi.org/10.1109/roman.2008.4600711","mag":"2095940361"},"language":"en","primary_location":{"id":"doi:10.1109/roman.2008.4600711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/roman.2008.4600711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RO-MAN 2008 - The 17th IEEE International Symposium on Robot and Human Interactive Communication","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/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":["Human Automation Systems HumAnS Laboratory, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","Sch. of Electr. & Comput. Eng., Georgia Inst. of Tech., Atlanta, GA"],"affiliations":[{"raw_affiliation_string":"Human Automation Systems HumAnS Laboratory, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Sch. of Electr. & Comput. Eng., Georgia Inst. of Tech., Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103550416","display_name":"Ayanna M. Howard","orcid":null},"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":["Human Automation Systems HumAnS Laboratory, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","Sch. of Electr. & Comput. Eng., Georgia Inst. of Tech., Atlanta, GA"],"affiliations":[{"raw_affiliation_string":"Human Automation Systems HumAnS Laboratory, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Sch. of Electr. & Comput. Eng., Georgia Inst. of Tech., Atlanta, GA","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":1.6558,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.86739868,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"471","last_page":"476"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9984999895095825,"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":0.9984999895095825,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9753999710083008,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9670000076293945,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7374099493026733},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.7021896839141846},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6710407733917236},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5971975326538086},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5801341533660889},{"id":"https://openalex.org/keywords/robot-learning","display_name":"Robot learning","score":0.5613606572151184},{"id":"https://openalex.org/keywords/teleoperation","display_name":"Teleoperation","score":0.5576105117797852},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.5214090347290039},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.47191646695137024},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3305469751358032},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.28155916929244995}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7374099493026733},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.7021896839141846},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6710407733917236},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5971975326538086},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5801341533660889},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.5613606572151184},{"id":"https://openalex.org/C161759796","wikidata":"https://www.wikidata.org/wiki/Q3982902","display_name":"Teleoperation","level":3,"score":0.5576105117797852},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.5214090347290039},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.47191646695137024},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3305469751358032},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.28155916929244995},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/roman.2008.4600711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/roman.2008.4600711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RO-MAN 2008 - The 17th IEEE International Symposium on Robot and Human Interactive Communication","raw_type":"proceedings-article"},{"id":"pmh:oai:smartech.gatech.edu:1853/38383","is_oa":false,"landing_page_url":"http://hdl.handle.net/1853/38383","pdf_url":null,"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":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6318047389","display_name":"HRI: ROBOT LEARNING FROM TELEOPERATIVE-BASED INSTRUCTION AND MULTIMODAL INTERACTION","funder_award_id":"0705130","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6825202671","display_name":null,"funder_award_id":"IIS-0705130","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1540685400","https://openalex.org/W1679913846","https://openalex.org/W1965218672","https://openalex.org/W1997353331","https://openalex.org/W2058857176","https://openalex.org/W2114499717","https://openalex.org/W2119388568","https://openalex.org/W2154342426","https://openalex.org/W2159336829","https://openalex.org/W2171137737","https://openalex.org/W6632235069","https://openalex.org/W6637308636"],"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/W2913184176"],"abstract_inverted_index":{"Applications":[0],"of":[1,18,39,51,64,67,79,148,158,188,206],"robotics":[2,19],"are":[3,20],"quickly":[4],"changing.":[5],"Just":[6],"as":[7],"computer":[8],"use":[9],"evolved":[10],"from":[11,99,155],"research":[12],"purposes":[13],"to":[14,24,47,56,61,83,86,94,108,161,170,199],"everyday":[15],"functions,":[16],"applications":[17,31],"making":[21],"a":[22,33,44],"transition":[23],"mainstream":[25],"usage.":[26],"With":[27],"this":[28,96,113,127,159,186,194],"change":[29,34],"in":[30,35,137,174],"comes":[32],"the":[36,49,62,65,77,80,120,131,135,138,146,149,156,167,179,207],"user":[37],"base":[38],"robotics,":[40],"and":[41,70,88,190],"there":[42],"is":[43,59,97,116,124,183],"pronounced":[45],"move":[46,55],"reduce":[48,57],"complexity":[50,58],"robotic":[52],"control.":[53],"The":[54],"linked":[60],"separation":[63],"role":[66],"robot":[68,71,81],"designer":[69],"operator.":[72],"For":[73],"many":[74],"target":[75],"applications,":[76],"operator":[78],"needs":[82],"be":[84,171,197],"able":[85],"correct":[87],"augment":[89],"its":[90],"capabilities.":[91],"One":[92],"method":[93,160],"enable":[95],"learning":[98,114,150,168,189,208],"human":[100,122],"data,":[101],"which":[102],"has":[103],"already":[104],"been":[105],"successfully":[106],"applied":[107],"robotics.":[109],"We":[110,152],"assert":[111],"that":[112,133,181,193],"process":[115,169],"only":[117],"viable":[118],"when":[119],"demonstrated":[121],"behavior":[123],"coherent.":[125],"In":[126],"work":[128],"we":[129],"test":[130],"hypothesis":[132,180],"quantifying":[134],"coherence":[136,182],"provided":[139],"instruction":[140],"can":[141,196],"provide":[142,200],"useful":[143],"information":[144],"about":[145],"progress":[147],"process.":[151,209],"discuss":[153],"results":[154,177],"application":[157],"reactive":[162],"behaviors.":[163],"Such":[164],"behaviors":[165],"permit":[166],"computationally":[172],"tractable":[173],"real-time.":[175],"These":[176],"support":[178],"important":[184],"for":[185,203],"type":[187],"also":[191],"show":[192],"property":[195],"used":[198],"an":[201],"avenue":[202],"self":[204],"regulation":[205]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}