{"id":"https://openalex.org/W4405786974","doi":"https://doi.org/10.1109/iros58592.2024.10801889","title":"Open Human-Robot Collaboration using Decentralized Inverse Reinforcement Learning","display_name":"Open Human-Robot Collaboration using Decentralized Inverse Reinforcement Learning","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4405786974","doi":"https://doi.org/10.1109/iros58592.2024.10801889"},"language":"en","primary_location":{"id":"doi:10.1109/iros58592.2024.10801889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10801889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/A5011705566","display_name":"Prasanth Sengadu Suresh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Prasanth Sengadu Suresh","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories (MERL),Cambridge,MA,USA"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories (MERL),Cambridge,MA,USA","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062291876","display_name":"Siddarth Jain","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siddarth Jain","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories (MERL),Cambridge,MA,USA"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories (MERL),Cambridge,MA,USA","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001254145","display_name":"Prashant Doshi","orcid":"https://orcid.org/0000-0001-9042-9131"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prashant Doshi","raw_affiliation_strings":["University of Georgia,School of Computing,Athens,GA,USA"],"affiliations":[{"raw_affiliation_string":"University of Georgia,School of Computing,Athens,GA,USA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062272788","display_name":"Diego Romeres","orcid":"https://orcid.org/0000-0002-8603-2438"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Diego Romeres","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories (MERL),Cambridge,MA,USA"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories (MERL),Cambridge,MA,USA","institution_ids":["https://openalex.org/I4210159266"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011705566"],"corresponding_institution_ids":["https://openalex.org/I4210159266"],"apc_list":null,"apc_paid":null,"fwci":1.8507,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.87444923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"7092","last_page":"7098"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.8082000017166138,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10763","display_name":"Digital Transformation in Industry","score":0.8082000017166138,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10653","display_name":"Robot Manipulation and Learning","score":0.807699978351593,"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/T12784","display_name":"Modular Robots and Swarm Intelligence","score":0.7964000105857849,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7193243503570557},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6036671996116638},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5851916670799255},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.5093947052955627},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.4407992959022522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4013509154319763},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3750622868537903},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12277063727378845}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7193243503570557},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6036671996116638},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5851916670799255},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.5093947052955627},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.4407992959022522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4013509154319763},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3750622868537903},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12277063727378845},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros58592.2024.10801889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10801889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2110158409","https://openalex.org/W2128814508","https://openalex.org/W2142505627","https://openalex.org/W2789905221","https://openalex.org/W2806075452","https://openalex.org/W2997909270","https://openalex.org/W3012435612","https://openalex.org/W4243580963","https://openalex.org/W4285605933","https://openalex.org/W4312071386","https://openalex.org/W4387520149","https://openalex.org/W4405786959","https://openalex.org/W6632024096","https://openalex.org/W6690270979","https://openalex.org/W6731897826","https://openalex.org/W6741002519","https://openalex.org/W6762020777","https://openalex.org/W6771970964","https://openalex.org/W6779442434","https://openalex.org/W6800349239","https://openalex.org/W6801104975","https://openalex.org/W6846538794","https://openalex.org/W7046109876"],"related_works":["https://openalex.org/W2978665606","https://openalex.org/W4287179229","https://openalex.org/W3205513966","https://openalex.org/W3120459843","https://openalex.org/W4366547574","https://openalex.org/W3200191727","https://openalex.org/W189465620","https://openalex.org/W4366818884","https://openalex.org/W2248308732","https://openalex.org/W4392651289"],"abstract_inverted_index":{"The":[0],"growing":[1],"interest":[2],"in":[3,154],"human-robot":[4,165],"collaboration":[5,89],"(HRC),":[6],"where":[7,61,117],"humans":[8],"and":[9,86,161,173],"robots":[10],"cooperate":[11],"towards":[12],"shared":[13],"goals,":[14],"has":[15,26],"seen":[16],"significant":[17],"advancements":[18],"over":[19],"the":[20,49,67,71,88,145],"past":[21],"decade.":[22],"While":[23],"previous":[24],"research":[25],"addressed":[27],"various":[28],"challenges,":[29],"several":[30],"key":[31],"issues":[32],"remain":[33],"unresolved.":[34],"Many":[35],"domains":[36],"within":[37],"HRC":[38,56,115],"involve":[39],"activities":[40],"that":[41,170],"do":[42],"not":[43],"necessarily":[44],"require":[45],"human":[46],"presence":[47],"throughout":[48],"entire":[50,68],"task.":[51,72],"Existing":[52],"literature":[53],"typically":[54],"models":[55],"as":[57,90],"a":[58,104,129,156,162],"closed":[59,179],"system,":[60],"all":[62],"agents":[63,118],"are":[64],"present":[65],"for":[66],"duration":[69],"of":[70],"In":[73,99],"contrast,":[74],"an":[75,82],"open":[76,114,141],"model":[77,113],"offers":[78],"flexibility":[79],"by":[80],"allowing":[81],"agent":[83],"to":[84,94,112,138],"enter":[85],"exit":[87],"needed,":[91],"enabling":[92],"them":[93],"concurrently":[95],"manage":[96],"other":[97],"tasks.":[98],"this":[100],"paper,":[101],"we":[102],"introduce":[103],"novel":[105],"multiagent":[106,131],"framework":[107,172],"called":[108],"oDec-MDP,":[109],"designed":[110],"specifically":[111],"scenarios":[116],"can":[119],"join":[120],"or":[121],"leave":[122],"tasks":[123],"flexibly":[124],"during":[125],"execution.":[126],"We":[127],"generalize":[128],"recent":[130],"inverse":[132],"reinforcement":[133],"learning":[134,174],"method":[135,148,175],"-":[136],"Dec-AIRL":[137],"learn":[139],"from":[140],"systems":[142],"modeled":[143],"using":[144],"oDec-MDP.":[146],"Our":[147],"is":[149],"validated":[150],"through":[151],"experiments":[152],"conducted":[153],"both":[155],"simplified":[157],"toy":[158],"firefighting":[159],"domain":[160],"realistic":[163],"dyadic":[164],"collaborative":[166],"assembly.":[167],"Results":[168],"show":[169],"our":[171],"improves":[176],"upon":[177],"its":[178],"system":[180],"counterpart.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
