{"id":"https://openalex.org/W4296872105","doi":"https://doi.org/10.1109/mm.2022.3199686","title":"Efficient Language-Guided Reinforcement Learning for Resource-Constrained Autonomous Systems","display_name":"Efficient Language-Guided Reinforcement Learning for Resource-Constrained Autonomous Systems","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4296872105","doi":"https://doi.org/10.1109/mm.2022.3199686"},"language":"en","primary_location":{"id":"doi:10.1109/mm.2022.3199686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mm.2022.3199686","pdf_url":null,"source":{"id":"https://openalex.org/S59697426","display_name":"IEEE Micro","issn_l":"0272-1732","issn":["0272-1732","1937-4143"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Micro","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11603/26186","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067589584","display_name":"Aidin Shiri","orcid":"https://orcid.org/0000-0001-5402-0988"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aidin Shiri","raw_affiliation_strings":["University of Maryland Baltimore County, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002891616","display_name":"Mozhgan Navardi","orcid":"https://orcid.org/0000-0002-3521-2869"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mozhgan Navardi","raw_affiliation_strings":["University of Maryland Baltimore County, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006446207","display_name":"Tejaswini Manjunath","orcid":"https://orcid.org/0000-0001-9690-5047"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tejaswini Manjunath","raw_affiliation_strings":["University of Maryland Baltimore County, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079459509","display_name":"Nicholas R. Waytowich","orcid":"https://orcid.org/0000-0002-3786-0675"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicholas R. Waytowich","raw_affiliation_strings":["U.S. Army Research Laboratory, Adelphi, MD, USA"],"affiliations":[{"raw_affiliation_string":"U.S. Army Research Laboratory, Adelphi, MD, USA","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084010501","display_name":"Tinoosh Mohsenin","orcid":"https://orcid.org/0000-0001-5551-2124"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tinoosh Mohsenin","raw_affiliation_strings":["University of Maryland Baltimore County, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5067589584"],"corresponding_institution_ids":["https://openalex.org/I79272384"],"apc_list":null,"apc_paid":null,"fwci":0.694,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75418451,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"42","issue":"6","first_page":"107","last_page":"114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9994000196456909,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9994000196456909,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9865999817848206,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8582839369773865},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7668555974960327},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.46784695982933044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3600810766220093},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.353458046913147},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3418850004673004},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.33140599727630615},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3255869150161743},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12729960680007935}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8582839369773865},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7668555974960327},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.46784695982933044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3600810766220093},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.353458046913147},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3418850004673004},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.33140599727630615},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3255869150161743},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12729960680007935}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/mm.2022.3199686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mm.2022.3199686","pdf_url":null,"source":{"id":"https://openalex.org/S59697426","display_name":"IEEE Micro","issn_l":"0272-1732","issn":["0272-1732","1937-4143"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Micro","raw_type":"journal-article"},{"id":"pmh:oai:mdsoar.org:11603/26186","is_oa":true,"landing_page_url":"http://hdl.handle.net/11603/26186","pdf_url":null,"source":{"id":"https://openalex.org/S4306402556","display_name":"Maryland Shared Open Access Repository (USMAI Consortium)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"doi:10.13016/m2cdcw-ydhr","is_oa":true,"landing_page_url":"https://doi.org/10.13016/m2cdcw-ydhr","pdf_url":null,"source":{"id":"https://openalex.org/S4306402644","display_name":"Digital Repository at the University of Maryland (University of Maryland College Park)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:mdsoar.org:11603/26186","is_oa":true,"landing_page_url":"http://hdl.handle.net/11603/26186","pdf_url":null,"source":{"id":"https://openalex.org/S4306402556","display_name":"Maryland Shared Open Access Repository (USMAI Consortium)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3634866725","display_name":null,"funder_award_id":"W911NF2120076","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G5259331294","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G996473832","display_name":null,"funder_award_id":"W911NF21200","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320309622","display_name":"Harvard University","ror":"https://ror.org/03vek6s52"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2145339207","https://openalex.org/W2736601468","https://openalex.org/W2909953480","https://openalex.org/W2967727187","https://openalex.org/W2981601849","https://openalex.org/W2996195849","https://openalex.org/W3083734093","https://openalex.org/W3098490553","https://openalex.org/W3178845376","https://openalex.org/W4297798492","https://openalex.org/W4321392130","https://openalex.org/W6739585900","https://openalex.org/W6739847781","https://openalex.org/W6741002519","https://openalex.org/W6747984218","https://openalex.org/W6769492773"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W2024136090","https://openalex.org/W2586732548","https://openalex.org/W3049728571","https://openalex.org/W2964765435","https://openalex.org/W4391331176"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3,71,141],"propose":[4],"an":[5,150],"energy-efficient":[6],"architecture,":[7],"which":[8,91],"is":[9],"designed":[10],"to":[11,53,144],"receive":[12],"both":[13],"images":[14],"and":[15,31,46,58,82,105,110,117,126],"text":[16,83],"inputs":[17],"as":[18],"a":[19,47],"step":[20],"toward":[21,55],"designing":[22],"reinforcement":[23,68],"learning":[24,69],"agents":[25],"that":[26,133],"can":[27],"understand":[28],"human":[29],"language":[30],"act":[32],"in":[33],"real-world":[34],"environments.":[35],"We":[36],"evaluate":[37],"our":[38],"proposed":[39],"method":[40],"on":[41,86],"three":[42],"different":[43],"software":[44],"environments":[45],"low":[48],"power":[49,107],"drone":[50,89],"named":[51],"Crazyflie":[52,88],"navigate":[54],"specified":[56],"goals":[57],"avoid":[59],"obstacles":[60],"successfully.":[61],"To":[62],"find":[63],"the":[64,73,87],"most":[65],"efficient":[66],"language-guided":[67],"model,":[70],"implemented":[72],"model":[74],"with":[75,119],"various":[76],"configurations":[77],"of":[78,93,113,137],"image":[79,139],"input":[80,138],"sizes":[81,85],"instruction":[84,96],"GAP8,":[90],"consists":[92],"eight":[94],"reduced":[95],"set":[97],"computer-V":[98],"cores.":[99],"The":[100,130],"task":[101,152],"completion":[102,153],"success":[103,154],"rate":[104],"onboard":[106],"consumption,":[108],"latency,":[109],"memory":[111],"usage":[112],"GAP8":[114],"are":[115],"measured":[116],"compared":[118],"Jetson":[120],"TX2":[121],"ARM":[122],"central":[123],"processing":[124],"unit":[125],"Raspberry":[127],"Pi":[128],"4.":[129],"results":[131],"show":[132],"by":[134],"decreasing":[135],"20%":[136],"size":[140],"achieve":[142],"up":[143],"78%":[145],"energy":[146],"improvement":[147],"while":[148],"achieving":[149],"82%":[151],"rate.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}