{"id":"https://openalex.org/W3129612191","doi":"https://doi.org/10.1109/iros45743.2020.9341107","title":"Approximated Dynamic Trait Models for Heterogeneous Multi-Robot Teams","display_name":"Approximated Dynamic Trait Models for Heterogeneous Multi-Robot Teams","publication_year":2020,"publication_date":"2020-10-24","ids":{"openalex":"https://openalex.org/W3129612191","doi":"https://doi.org/10.1109/iros45743.2020.9341107","mag":"3129612191"},"language":"en","primary_location":{"id":"doi:10.1109/iros45743.2020.9341107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros45743.2020.9341107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5052933616","display_name":"Glen Neville","orcid":"https://orcid.org/0000-0003-0623-6279"},"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":"Glen Neville","raw_affiliation_strings":["Institute of Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087370510","display_name":"Harish Ravichandar","orcid":"https://orcid.org/0000-0002-6635-2637"},"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":"Harish Ravichandar","raw_affiliation_strings":["Institute of Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111967065","display_name":"Kenneth L. Shaw","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":"Kenneth Shaw","raw_affiliation_strings":["Institute of Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033265891","display_name":"Sonia Chernova","orcid":"https://orcid.org/0000-0001-6320-0825"},"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":"Sonia Chernova","raw_affiliation_strings":["Institute of Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2708,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66854749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"604","issue":null,"first_page":"7978","last_page":"7984"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9976999759674072,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9976999759674072,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9860000014305115,"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/leverage","display_name":"Leverage (statistics)","score":0.752265214920044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7375642657279968},{"id":"https://openalex.org/keywords/trait","display_name":"Trait","score":0.5994125604629517},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5426758527755737},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4911012649536133},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.48995891213417053},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4838244318962097},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4248255491256714},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4092687666416168},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37022894620895386},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08861550688743591}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.752265214920044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7375642657279968},{"id":"https://openalex.org/C106934330","wikidata":"https://www.wikidata.org/wiki/Q1971873","display_name":"Trait","level":2,"score":0.5994125604629517},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5426758527755737},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4911012649536133},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.48995891213417053},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4838244318962097},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4248255491256714},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4092687666416168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37022894620895386},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08861550688743591},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros45743.2020.9341107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros45743.2020.9341107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1471578414","https://openalex.org/W1538684001","https://openalex.org/W1549280300","https://openalex.org/W1594393406","https://openalex.org/W1972391046","https://openalex.org/W2026162041","https://openalex.org/W2087430197","https://openalex.org/W2107258648","https://openalex.org/W2111784068","https://openalex.org/W2136644454","https://openalex.org/W2144221681","https://openalex.org/W2144827113","https://openalex.org/W2146086743","https://openalex.org/W2157488300","https://openalex.org/W2295985460","https://openalex.org/W2331236532","https://openalex.org/W2570229872","https://openalex.org/W2575523922","https://openalex.org/W2650001473","https://openalex.org/W2795752774","https://openalex.org/W2811346832","https://openalex.org/W2964138223","https://openalex.org/W3024346452","https://openalex.org/W3028492166","https://openalex.org/W6628756481","https://openalex.org/W6632662516","https://openalex.org/W6697218167"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"To":[0],"realize":[1],"effective":[2],"heterogeneous":[3],"multi-agent":[4],"teams,":[5],"we":[6,60,120,143],"must":[7],"be":[8],"able":[9],"to":[10,51,66],"leverage":[11],"individual":[12],"agents'":[13,31,40],"relative":[14,32],"strengths.":[15],"Recent":[16],"work":[17],"has":[18],"addressed":[19],"this":[20,58],"challenge":[21],"by":[22],"introducing":[23],"trait-based":[24],"task":[25,72,117],"assignment":[26,73],"approaches":[27],"that":[28,38,88,129],"exploit":[29],"the":[30,39,68,76,115,137,145,161],"advantages.":[33],"These":[34],"approaches,":[35],"however,":[36],"assume":[37],"traits":[41,48,91,94,151],"remain":[42],"static.":[43],"Indeed,":[44],"in":[45,153,156],"real-world":[46],"scenarios,":[47],"are":[49],"likely":[50],"vary":[52],"as":[53,85,125],"agents":[54],"execute":[55],"tasks.":[56],"In":[57],"paper,":[59],"present":[61],"a":[62,83,86,97,122,126,131,157],"transformation-based":[63],"modeling":[64],"framework":[65],"bridge":[67],"gap":[69],"between":[70],"state-of-the-art":[71],"algorithms":[74],"and":[75,114,155],"reality":[77],"of":[78,133,147,163],"dynamic":[79,90,111,134,150],"traits.":[80],"We":[81,101],"define":[82,102],"transformation":[84,124],"function":[87],"approximates":[89,130],"with":[92],"static":[93],"based":[95],"on":[96,109],"specific":[98],"statistical":[99],"measure.":[100],"different":[103,110],"candidate":[104],"transformations,":[105],"investigate":[106],"their":[107],"effects":[108],"trait":[112],"models,":[113,135],"resulting":[116],"performance.":[118],"Further,":[119],"propose":[121],"variance-based":[123],"general":[127],"solution":[128],"variety":[132],"eliminating":[136],"need":[138],"for":[139],"hand":[140],"specification.":[141],"Finally,":[142],"demonstrate":[144],"benefits":[146],"reasoning":[148],"about":[149],"both":[152],"simulation":[154],"physical":[158],"experiment":[159],"involving":[160],"game":[162],"capture-the-flag.":[164]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}