{"id":"https://openalex.org/W7127700007","doi":"https://doi.org/10.1063/5.0306302","title":"Osprey: Production-ready agentic AI for safety-critical control systems","display_name":"Osprey: Production-ready agentic AI for safety-critical control systems","publication_year":2026,"publication_date":"2026-02-04","ids":{"openalex":"https://openalex.org/W7127700007","doi":"https://doi.org/10.1063/5.0306302"},"language":"en","primary_location":{"id":"doi:10.1063/5.0306302","doi":"https://doi.org/10.1063/5.0306302","is_oa":true,"landing_page_url":"https://doi.org/10.1063/5.0306302","pdf_url":null,"source":{"id":"https://openalex.org/S4387287287","display_name":"APL Machine Learning","issn_l":"2770-9019","issn":["2770-9019"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1"],"host_organization":"https://openalex.org/P4310320257","host_organization_name":"American Institute of Physics","host_organization_lineage":["https://openalex.org/P4310320257"],"host_organization_lineage_names":["American Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"APL Machine Learning","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["arxiv","crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1063/5.0306302","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089272150","display_name":"Thorsten Hellert","orcid":"https://orcid.org/0000-0002-2797-0926","observed_orcids":["https://orcid.org/0000-0002-2797-0926"]},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thorsten Hellert","raw_affiliation_strings":["Accelerator Technology & Applied Physics Division, Lawrence Berkeley National Laboratory , Berkeley, California 94720,"],"raw_orcid":"https://orcid.org/0000-0002-2797-0926","affiliations":[{"raw_affiliation_string":"Accelerator Technology & Applied Physics Division, Lawrence Berkeley National Laboratory , Berkeley, California 94720,","institution_ids":["https://openalex.org/I148283060"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jo\u00e3o Montenegro","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jo\u00e3o Montenegro","raw_affiliation_strings":["Accelerator Technology & Applied Physics Division, Lawrence Berkeley National Laboratory , Berkeley, California 94720,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Accelerator Technology & Applied Physics Division, Lawrence Berkeley National Laboratory , Berkeley, California 94720,","institution_ids":["https://openalex.org/I148283060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114424269","display_name":"Antonin Sulc","orcid":"https://orcid.org/0000-0001-7767-778X","observed_orcids":["https://orcid.org/0000-0001-7767-778X"]},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Antonin Sulc","raw_affiliation_strings":["Accelerator Technology & Applied Physics Division, Lawrence Berkeley National Laboratory , Berkeley, California 94720,"],"raw_orcid":"https://orcid.org/0000-0001-7767-778X","affiliations":[{"raw_affiliation_string":"Accelerator Technology & Applied Physics Division, Lawrence Berkeley National Laboratory , Berkeley, California 94720,","institution_ids":["https://openalex.org/I148283060"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I148283060"],"apc_list":null,"apc_paid":null,"fwci":7.2252,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.96026613,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"4","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13904","display_name":"Artificial Intelligence Applications","score":0.3978999853134155,"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/T13904","display_name":"Artificial Intelligence Applications","score":0.3978999853134155,"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":0.32030001282691956,"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/T13295","display_name":"Safety Systems Engineering in Autonomy","score":0.04360000044107437,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/agentic-ai","display_name":"agentic AI","score":0.9850000143051147},{"id":"https://openalex.org/keywords/safety-critical-control-systems","display_name":"safety-critical control systems","score":0.8339999914169312},{"id":"https://openalex.org/keywords/language-model-agents","display_name":"language model agents","score":0.7749999761581421},{"id":"https://openalex.org/keywords/control-room","display_name":"control room","score":0.6890000104904175},{"id":"https://openalex.org/keywords/human-in-the-loop-review","display_name":"human-in-the-loop review","score":0.6439999938011169},{"id":"https://openalex.org/keywords/tool-selection","display_name":"tool selection","score":0.6769999861717224},{"id":"https://openalex.org/keywords/data-integration","display_name":"data integration","score":0.4819999933242798},{"id":"https://openalex.org/keywords/real-time-control","display_name":"real-time control","score":0.4959999918937683},{"id":"https://openalex.org/keywords/advanced-light-source","display_name":"Advanced Light Source","score":0.9279999732971191},{"id":"https://openalex.org/keywords/production-deployment","display_name":"production deployment","score":0.7369999885559082}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7480999827384949},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7142000198364258},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47839999198913574},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4733999967575073},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4438000023365021},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.43860000371932983},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3707999885082245},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.35929998755455017},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.3499999940395355},{"id":"https://openalex.org/C145428669","wikidata":"https://www.wikidata.org/wiki/Q471748","display_name":"Exception handling","level":2,"score":0.34450000524520874},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.3375000059604645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3140000104904175},{"id":"https://openalex.org/C20277647","wikidata":"https://www.wikidata.org/wiki/Q5227234","display_name":"Data access layer","level":3,"score":0.30149999260902405},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.2996000051498413},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2854999899864197},{"id":"https://openalex.org/C81293917","wikidata":"https://www.wikidata.org/wiki/Q4189534","display_name":"System deployment","level":3,"score":0.27810001373291016},{"id":"https://openalex.org/C2779697362","wikidata":"https://www.wikidata.org/wiki/Q390516","display_name":"Control room","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2606000006198883},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.25529998540878296}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1063/5.0306302","doi":"https://doi.org/10.1063/5.0306302","is_oa":true,"landing_page_url":"https://doi.org/10.1063/5.0306302","pdf_url":null,"source":{"id":"https://openalex.org/S4387287287","display_name":"APL Machine Learning","issn_l":"2770-9019","issn":["2770-9019"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1"],"host_organization":"https://openalex.org/P4310320257","host_organization_name":"American Institute of Physics","host_organization_lineage":["https://openalex.org/P4310320257"],"host_organization_lineage_names":["American Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"APL Machine Learning","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2508.15066","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.15066","pdf_url":"https://arxiv.org/pdf/2508.15066","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:40587dbf85b24ee99bb7fc0f650282e5","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/40587dbf85b24ee99bb7fc0f650282e5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"APL Machine Learning, Vol 4, Iss 1, Pp - (2026)","raw_type":"article"},{"id":"doi:10.48550/arxiv.2508.15066","doi":"https://doi.org/10.48550/arxiv.2508.15066","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2508.15066","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1063/5.0306302","doi":"https://doi.org/10.1063/5.0306302","is_oa":true,"landing_page_url":"https://doi.org/10.1063/5.0306302","pdf_url":null,"source":{"id":"https://openalex.org/S4387287287","display_name":"APL Machine Learning","issn_l":"2770-9019","issn":["2770-9019"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1"],"host_organization":"https://openalex.org/P4310320257","host_organization_name":"American Institute of Physics","host_organization_lineage":["https://openalex.org/P4310320257"],"host_organization_lineage_names":["American Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"APL Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1143651532","display_name":null,"funder_award_id":"DE-AC02-05CH11231","funder_id":"https://openalex.org/F4320338292","funder_display_name":"Lawrence Berkeley National Laboratory"}],"funders":[{"id":"https://openalex.org/F4320338292","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2081860436","https://openalex.org/W2337392266","https://openalex.org/W4367175694","https://openalex.org/W4389132715","https://openalex.org/W4389991792","https://openalex.org/W4391347505","https://openalex.org/W4391509217","https://openalex.org/W4392805407","https://openalex.org/W4396723768","https://openalex.org/W4396732312","https://openalex.org/W4403266000","https://openalex.org/W4408167800","https://openalex.org/W4410422038","https://openalex.org/W4412759774","https://openalex.org/W4417210044"],"related_works":[],"abstract_inverted_index":{"Operating":[0],"large-scale":[1],"scientific":[2],"facilities":[3,135],"requires":[4],"coordinating":[5],"diverse":[6],"subsystems,":[7],"translating":[8],"operator":[9],"intent":[10],"into":[11],"precise":[12],"hardware":[13,96],"actions,":[14],"and":[15,70,111,141,149,170,174],"maintaining":[16],"strict":[17],"safety":[18],"oversight.":[19],"Language":[20],"model-driven":[21],"agents":[22],"offer":[23],"a":[24,50,80,100,119,128,163,175,200],"natural":[25],"interface":[26],"for":[27,41,52,91,127,152,203],"these":[28,72],"tasks,":[29],"but":[30],"most":[31],"existing":[32],"approaches":[33],"are":[34,150],"not":[35],"yet":[36],"reliable":[37],"or":[38],"safe":[39],"enough":[40],"production":[42,176],"use.":[43,154],"In":[44],"this":[45],"paper,":[46],"we":[47],"introduce":[48],"Osprey,":[49],"framework":[51,158,202],"using":[53],"agentic":[54,205],"AI":[55,206],"in":[56,74,207],"large,":[57],"safety-critical":[58,209],"facility":[59],"operations.":[60],"Osprey":[61,184,198],"is":[62,97],"built":[63],"around":[64],"the":[65,124,157,179],"needs":[66],"of":[67,190,192],"control":[68,147,193],"rooms":[69],"addresses":[71],"challenges":[73],"four":[75],"ways.":[76],"First,":[77],"it":[78],"uses":[79],"plan-first":[81],"orchestrator":[82],"that":[83],"generates":[84],"complete":[85],"execution":[86],"plans,":[87],"including":[88],"all":[89],"dependencies,":[90],"human":[92],"review":[93],"before":[94],"any":[95],"touched.":[98],"Second,":[99],"coordination":[101],"layer":[102],"manages":[103,185],"complex":[104],"data":[105,108,172],"flows,":[106],"keeps":[107],"types":[109],"consistent,":[110],"automatically":[112],"downsamples":[113],"large":[114],"datasets":[115],"when":[116],"needed.":[117],"Third,":[118],"classifier":[120],"dynamically":[121],"selects":[122],"only":[123],"tools":[125],"required":[126],"given":[129],"task,":[130],"keeping":[131],"prompts":[132],"compact":[133],"as":[134,199],"add":[136],"capabilities.":[137],"Fourth,":[138],"connector":[139],"abstractions":[140],"deployment":[142,177],"patterns":[143],"work":[144],"across":[145,188],"different":[146],"systems":[148],"ready":[151],"day-to-day":[153],"We":[155],"demonstrate":[156],"through":[159],"two":[160],"case":[161],"studies:":[162],"control-assistant":[164],"tutorial":[165],"showing":[166],"semantic":[167],"channel":[168],"mapping":[169],"historical":[171],"integration":[173],"at":[178],"Advanced":[180],"Light":[181],"Source,":[182],"where":[183],"real-time":[186],"operations":[187],"hundreds":[189],"thousands":[191],"channels.":[194],"These":[195],"results":[196],"establish":[197],"production-ready":[201],"deploying":[204],"complex,":[208],"environments.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2026-02-06T00:00:00"}
