{"id":"https://openalex.org/W4409474003","doi":"https://doi.org/10.1109/tnnls.2025.3552793","title":"An Interpretable Neural Control Network With Adaptable Online Learning for Sample Efficient Robot Locomotion Learning","display_name":"An Interpretable Neural Control Network With Adaptable Online Learning for Sample Efficient Robot Locomotion Learning","publication_year":2025,"publication_date":"2025-04-15","ids":{"openalex":"https://openalex.org/W4409474003","doi":"https://doi.org/10.1109/tnnls.2025.3552793","pmid":"https://pubmed.ncbi.nlm.nih.gov/40232927"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2025.3552793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3552793","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://portal.findresearcher.sdu.dk/da/publications/35cd84e8-4c12-4335-ad06-e8882f07b25a","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006221975","display_name":"Arthicha Srisuchinnawong","orcid":"https://orcid.org/0000-0002-7997-745X"},"institutions":[{"id":"https://openalex.org/I4210153049","display_name":"Vidyasirimedhi Institute of Science and Technology","ror":"https://ror.org/053jehz60","country_code":"TH","type":"education","lineage":["https://openalex.org/I4210153049"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Arthicha Srisuchinnawong","raw_affiliation_strings":["Vidyasirimedhi Institute of Science and Technology, Rayong, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-7997-745X","affiliations":[{"raw_affiliation_string":"Vidyasirimedhi Institute of Science and Technology, Rayong, Thailand","institution_ids":["https://openalex.org/I4210153049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034246691","display_name":"Poramate Manoonpong","orcid":"https://orcid.org/0000-0002-4806-7576"},"institutions":[{"id":"https://openalex.org/I4210153049","display_name":"Vidyasirimedhi Institute of Science and Technology","ror":"https://ror.org/053jehz60","country_code":"TH","type":"education","lineage":["https://openalex.org/I4210153049"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Poramate Manoonpong","raw_affiliation_strings":["Vidyasirimedhi Institute of Science and Technology, Rayong, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-4806-7576","affiliations":[{"raw_affiliation_string":"Vidyasirimedhi Institute of Science and Technology, Rayong, Thailand","institution_ids":["https://openalex.org/I4210153049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006221975"],"corresponding_institution_ids":["https://openalex.org/I4210153049"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0322416,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"9","first_page":"16143","last_page":"16155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9696000218391418,"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/T10320","display_name":"Neural Networks and Applications","score":0.9696000218391418,"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/sample","display_name":"Sample (material)","score":0.659417986869812},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6227842569351196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6214179396629333},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5985867381095886},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5277928709983826},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5222407579421997},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.4643004536628723},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4452122151851654},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.08661207556724548}],"concepts":[{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.659417986869812},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6227842569351196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6214179396629333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5985867381095886},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5277928709983826},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5222407579421997},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.4643004536628723},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4452122151851654},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.08661207556724548},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tnnls.2025.3552793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3552793","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:40232927","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40232927","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:sdu.dk:openaire/35cd84e8-4c12-4335-ad06-e8882f07b25a","is_oa":true,"landing_page_url":"https://portal.findresearcher.sdu.dk/da/publications/35cd84e8-4c12-4335-ad06-e8882f07b25a","pdf_url":null,"source":{"id":"https://openalex.org/S4306400423","display_name":"University of Southern Denmark Research Portal (University of Southern Denmark)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177969490","host_organization_name":"University of Southern Denmark","host_organization_lineage":["https://openalex.org/I177969490"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Srisuchinnawong, A & Manoonpong, P 2025, 'An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning', IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 9, pp. 16143-16155. https://doi.org/10.1109/TNNLS.2025.3552793","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:zenodo.org:15428817","is_oa":true,"landing_page_url":"https://doi.org/10.1109/TNNLS.2025.3552793","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems, 1 - 13, (2025-04-15)","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:sdu.dk:openaire/35cd84e8-4c12-4335-ad06-e8882f07b25a","is_oa":true,"landing_page_url":"https://portal.findresearcher.sdu.dk/da/publications/35cd84e8-4c12-4335-ad06-e8882f07b25a","pdf_url":null,"source":{"id":"https://openalex.org/S4306400423","display_name":"University of Southern Denmark Research Portal (University of Southern Denmark)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177969490","host_organization_name":"University of Southern Denmark","host_organization_lineage":["https://openalex.org/I177969490"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Srisuchinnawong, A & Manoonpong, P 2025, 'An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning', IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 9, pp. 16143-16155. https://doi.org/10.1109/TNNLS.2025.3552793","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2082511574","https://openalex.org/W2119717200","https://openalex.org/W2137104525","https://openalex.org/W2158782408","https://openalex.org/W2282821441","https://openalex.org/W2295107390","https://openalex.org/W2904012664","https://openalex.org/W2962858109","https://openalex.org/W2963811535","https://openalex.org/W2968352263","https://openalex.org/W2973136764","https://openalex.org/W2996889214","https://openalex.org/W3018463921","https://openalex.org/W3080662046","https://openalex.org/W3094221113","https://openalex.org/W3111294788","https://openalex.org/W3207033168","https://openalex.org/W3207380642","https://openalex.org/W4229447382","https://openalex.org/W4317987839","https://openalex.org/W4322706856","https://openalex.org/W4362692132","https://openalex.org/W4383108274","https://openalex.org/W4385154230","https://openalex.org/W4390494915","https://openalex.org/W4390591052","https://openalex.org/W4391582645","https://openalex.org/W4394603121","https://openalex.org/W4394963598","https://openalex.org/W4405778594"],"related_works":["https://openalex.org/W8302103","https://openalex.org/W1185300216","https://openalex.org/W3171631314","https://openalex.org/W2674584172","https://openalex.org/W2391251536","https://openalex.org/W2967743314","https://openalex.org/W2961085424","https://openalex.org/W2606825221","https://openalex.org/W2184085865","https://openalex.org/W2064245428"],"abstract_inverted_index":{"Robot":[0],"locomotion":[1,168],"learning":[2,5,88,145,169,183],"using":[3],"reinforcement":[4],"suffers":[6],"from":[7,147],"training":[8],"sample":[9,164,180],"inefficiency":[10],"and":[11,62,127,166,182],"exhibits":[12],"the":[13,43,46,51,54,63,66,69,73,77,80,87,93,112,121,161,173],"non-interpretable/closed-box":[14],"nature.":[15],"Thus,":[16,97],"this":[17,156],"work":[18,157],"presents":[19],"a":[20,37,135,150],"novel":[21],"SME-Adaptable":[22],"Gradient-weighting":[23],"Online":[24],"Learning":[25],"(AGOL)":[26],"to":[27,68,89,102,118],"address":[28],"such":[29],"problems.":[30],"First,":[31],"sequential":[32,108],"motion":[33],"executor":[34],"(SME)":[35],"is":[36],"three-layer":[38],"interpretable":[39],"neural":[40],"network,":[41],"where":[42,106],"first":[44],"produces":[45],"sequentially":[47],"propagating":[48],"hidden":[49,109],"states,":[50],"second":[52],"constructs":[53],"corresponding":[55],"triangular":[56],"bases":[57,67],"with":[58,82],"minor":[59],"non-neighbor":[60],"interference,":[61],"third":[64],"maps":[65],"motor":[70],"commands.":[71],"Second,":[72],"AGOL":[74],"algorithm":[75],"prioritizes":[76],"update":[78],"of":[79,144,176],"parameters":[81],"high":[83],"relevance":[84],"score,":[85],"allowing":[86],"focus":[90],"more":[91],"on":[92,134,149],"highly":[94],"relevant":[95],"ones.":[96],"these":[98],"two":[99],"components":[100],"lead":[101],"an":[103],"analyzable":[104],"framework,":[105],"each":[107],"state/basis":[110],"represents":[111],"learned":[113],"key":[114],"poses/robot":[115],"configuration.":[116],"Compared":[117],"state-of-the-art":[119],"methods,":[120],"SME-AGOL":[122,162],"requires":[123],"40%":[124],"fewer":[125],"samples":[126],"receives":[128],"150%":[129],"higher":[130],"final":[131],"reward/locomotion":[132],"performance":[133],"simulated":[136],"hexapod":[137,152],"robot,":[138],"while":[139],"taking":[140],"merely":[141],"10":[142],"min":[143],"time":[146],"scratch":[148],"physical":[151],"robot.":[153],"Taken":[154],"together,":[155],"not":[158],"only":[159],"proposes":[160],"for":[163,178],"efficient":[165],"understandable":[167],"but":[170],"also":[171],"emphasizes":[172],"potential":[174],"exploitation":[175],"interpretability":[177],"improving":[179],"efficiency":[181],"performance.":[184]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}