{"id":"https://openalex.org/W7119078742","doi":"https://doi.org/10.1109/indin64977.2025.11279129","title":"A Deep Reinforcement Learning-based Autonomous Robotic Operation Framework for Blood Gas Analyzers","display_name":"A Deep Reinforcement Learning-based Autonomous Robotic Operation Framework for Blood Gas Analyzers","publication_year":2025,"publication_date":"2025-07-12","ids":{"openalex":"https://openalex.org/W7119078742","doi":"https://doi.org/10.1109/indin64977.2025.11279129"},"language":null,"primary_location":{"id":"doi:10.1109/indin64977.2025.11279129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin64977.2025.11279129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 23rd International Conference on Industrial Informatics (INDIN)","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/A5122142215","display_name":"Haiyang Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiyang Jiang","raw_affiliation_strings":["Chongqing University,School of Automation,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University,School of Automation,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018227586","display_name":"T. Y. Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tong Liu","raw_affiliation_strings":["University of Sheffield,School of Computer Science,Sheffield,UK"],"affiliations":[{"raw_affiliation_string":"University of Sheffield,School of Computer Science,Sheffield,UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104955837","display_name":"Xiao Li","orcid":"https://orcid.org/0009-0001-7744-705X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaping Liu","raw_affiliation_strings":["Tsinghua University,Department of Computer Science and Technology,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Computer Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121556950","display_name":"Visakan Kadirkamanathan","orcid":null},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Visakan Kadirkamanathan","raw_affiliation_strings":["University of Sheffield,School of Electrical and Electronic Engineering,Sheffield,UK"],"affiliations":[{"raw_affiliation_string":"University of Sheffield,School of Electrical and Electronic Engineering,Sheffield,UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076874510","display_name":"Hang Wu","orcid":"https://orcid.org/0000-0003-2112-1533"},"institutions":[{"id":"https://openalex.org/I2802541053","display_name":"Academy of Military Medical Sciences","ror":"https://ror.org/02bv3c993","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2802541053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Wu","raw_affiliation_strings":["Academy of Military Sciences,Medical Support Technology Research Department,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"Academy of Military Sciences,Medical Support Technology Research Department,Tianjin,China","institution_ids":["https://openalex.org/I2802541053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122207777","display_name":"Kai Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Wang","raw_affiliation_strings":["Chongqing University,School of Automation,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University,School of Automation,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5122142215"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.60280276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11393","display_name":"Biosensors and Analytical Detection","score":0.07840000092983246,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11393","display_name":"Biosensors and Analytical Detection","score":0.07840000092983246,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.045499999076128006,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11948","display_name":"Machine Learning in Materials Science","score":0.042399998754262924,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8493000268936157},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5785999894142151},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.39899998903274536},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.3905999958515167},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.382099986076355},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.358599990606308},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.3398999869823456}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8493000268936157},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6884999871253967},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5785999894142151},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.484499990940094},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.39899998903274536},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.3905999958515167},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.382099986076355},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.358599990606308},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3467999994754791},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.3398999869823456},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.3319000005722046},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.2881999909877777},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28200000524520874},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.28029999136924744},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C13687954","wikidata":"https://www.wikidata.org/wiki/Q4826847","display_name":"Autonomous agent","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin64977.2025.11279129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin64977.2025.11279129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 23rd International Conference on Industrial Informatics (INDIN)","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":14,"referenced_works":["https://openalex.org/W1689711448","https://openalex.org/W1953681979","https://openalex.org/W3009928773","https://openalex.org/W3042021489","https://openalex.org/W4361011164","https://openalex.org/W4389991792","https://openalex.org/W4399066742","https://openalex.org/W4400189246","https://openalex.org/W4400189363","https://openalex.org/W4401416598","https://openalex.org/W4403887646","https://openalex.org/W4404548159","https://openalex.org/W4405709846","https://openalex.org/W4408332997"],"related_works":[],"abstract_inverted_index":{"To":[0,30,64],"tackle":[1],"the":[2,32,35,59,80,95,99,137],"technical":[3],"challenges":[4],"of":[5,34,68,98],"precisely":[6],"aligning":[7],"and":[8,37,54,85,116,129,148],"inserting":[9],"test":[10],"tubes":[11],"into":[12,43],"sampling":[13],"needles,":[14],"this":[15,91],"paper":[16],"proposes":[17],"an":[18],"autonomous":[19],"operation":[20],"method":[21],"for":[22],"blood":[23],"gas":[24],"analyzers":[25],"based":[26],"on":[27,90],"reinforcement":[28,73],"learning.":[29],"simplify":[31],"complexity":[33],"alignment":[36],"insertion":[38,62],"task,":[39],"it":[40],"is":[41,76],"decomposed":[42],"two":[44],"independent":[45],"subtasks,":[46],"which":[47],"are":[48],"learned":[49],"in":[50],"a":[51,72,107,142],"distributed":[52],"manner":[53],"executed":[55],"sequentially":[56],"to":[57],"complete":[58],"overall":[60],"needle":[61],"process.":[63],"enable":[65],"accurate":[66],"perception":[67],"dynamic":[69],"environmental":[70],"states,":[71],"learning":[74,127],"model":[75],"developed":[77],"that":[78,110,136],"defines":[79],"state":[81],"space,":[82,84],"action":[83],"multi-task":[86],"reward":[87],"functions.":[88],"Building":[89],"framework,":[92],"we":[93],"enhance":[94],"Actor-Critic":[96],"structure":[97],"Proximal":[100],"Policy":[101],"Optimization":[102],"(PPO)":[103],"algorithm":[104,140],"by":[105],"introducing":[106],"dual-network":[108],"architecture":[109],"integrates":[111],"Long":[112],"Short-Term":[113],"Memory":[114],"(LSTM)":[115],"Wavelet":[117],"Transform":[118],"Convolution":[119],"(WTC)":[120],"networks.":[121],"This":[122],"enhancement":[123],"significantly":[124],"improves":[125],"both":[126],"efficiency":[128],"policy":[130,150],"stability.":[131],"Extensive":[132],"comparative":[133],"experiments":[134],"demonstrate":[135],"proposed":[138],"LSTM-WTC-PPO":[139],"achieves":[141],"high":[143],"success":[144],"rate,":[145],"stable":[146],"convergence,":[147],"efficient":[149],"optimization.":[151]},"counts_by_year":[],"updated_date":"2026-01-08T20:10:11.968330","created_date":"2026-01-08T00:00:00"}