{"id":"https://openalex.org/W7130706398","doi":"https://doi.org/10.1109/tmc.2026.3666656","title":"A Novel Expert-Assisted Anomaly-Aware Embodied Learning Framework for UAV Active Target Tracking","display_name":"A Novel Expert-Assisted Anomaly-Aware Embodied Learning Framework for UAV Active Target Tracking","publication_year":2026,"publication_date":"2026-02-20","ids":{"openalex":"https://openalex.org/W7130706398","doi":"https://doi.org/10.1109/tmc.2026.3666656"},"language":null,"primary_location":{"id":"doi:10.1109/tmc.2026.3666656","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2026.3666656","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","raw_type":"journal-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/A5108047070","display_name":"Jiahao Li","orcid":"https://orcid.org/0000-0003-4004-3083"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahao Li","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0008-9740-1500","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011900098","display_name":"Fuhui Zhou","orcid":"https://orcid.org/0000-0001-6880-6244"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuhui Zhou","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-6880-6244","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101738391","display_name":"Quan Wu","orcid":"https://orcid.org/0000-0002-9521-5084"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihui Wu","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-9521-5084","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16804346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":"7","first_page":"11063","last_page":"11083"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.34060001373291016,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.34060001373291016,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11133","display_name":"UAV Applications and Optimization","score":0.3197999894618988,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.049300000071525574,"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/embodied-cognition","display_name":"Embodied cognition","score":0.6761999726295471},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.635200023651123},{"id":"https://openalex.org/keywords/cognitive-robotics","display_name":"Cognitive robotics","score":0.5321999788284302},{"id":"https://openalex.org/keywords/embodied-agent","display_name":"Embodied agent","score":0.49799999594688416},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.48919999599456787},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.46320000290870667},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.40230000019073486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7804999947547913},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.6761999726295471},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.635200023651123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6326000094413757},{"id":"https://openalex.org/C192327766","wikidata":"https://www.wikidata.org/wiki/Q1038799","display_name":"Cognitive robotics","level":3,"score":0.5321999788284302},{"id":"https://openalex.org/C103683099","wikidata":"https://www.wikidata.org/wiki/Q5370102","display_name":"Embodied agent","level":3,"score":0.49799999594688416},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.48919999599456787},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4763999879360199},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.46320000290870667},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.40230000019073486},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.400299996137619},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.3776000142097473},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.36329999566078186},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.36230000853538513},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.28540000319480896},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.27399998903274536},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2590000033378601},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.25429999828338623},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2026.3666656","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2026.3666656","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.49258649349212646,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G4057565415","display_name":null,"funder_award_id":"BK62427801","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Active":[0],"object":[1],"tracking":[2,19,118,143],"(AOT)":[3],"in":[4,22,125,140,176],"complex":[5],"and":[6,29,56,65,81,91,120,128,148,169],"dynamic":[7],"environments":[8],"remains":[9],"a":[10,37,86],"significant":[11],"challenge":[12],"for":[13,47,172],"autonomous":[14],"unmanned":[15],"aerial":[16],"vehicle":[17],"(UAV)":[18],"systems,":[20],"especially":[21],"anomalous":[23,83],"situation":[24],"such":[25],"as":[26],"prolonged":[27],"occlusion":[28],"intense":[30],"interference.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35],"propose":[36],"novel":[38],"embodied":[39,174],"learning":[40,44,107],"framework,":[41,50],"called":[42],"the":[43,63,76,114,133,137,163],"to":[45,61,78,92,112,150],"ask":[46],"help":[48],"(LA4H)":[49],"which":[51],"integrates":[52],"cross-modal":[53,87],"anomaly":[54,88,170],"cognition":[55,89,171],"adaptive":[57],"expert":[58,95,158,167],"assistance":[59,101],"mechanisms":[60],"enhance":[62],"robustness":[64],"generalization":[66,149],"of":[67,142,165],"UAV":[68,178],"active":[69],"target":[70],"tracking.":[71],"The":[72,160],"LA4H":[73,134],"framework":[74],"enables":[75],"agent":[77],"autonomously":[79],"recognize":[80],"classify":[82],"states":[84],"through":[85],"module,":[90],"adaptively":[93],"request":[94],"intervention":[96],"when":[97],"necessary":[98],"via":[99],"an":[100],"decision":[102],"network.":[103],"A":[104],"teacher-student":[105],"policy":[106],"paradigm":[108],"is":[109],"further":[110],"employed":[111],"distill":[113],"temporal-semantic":[115],"knowledge,":[116],"improving":[117],"efficiency":[119],"real-time":[121],"performance.":[122],"Extensive":[123],"experiments":[124],"both":[126],"simulated":[127],"real-world":[129],"scenarios":[130],"demonstrate":[131,162],"that":[132],"significantly":[135],"outperforms":[136],"state-of-the-art":[138],"baselines":[139],"terms":[141],"success":[144],"rate,":[145],"path":[146],"efficiency,":[147],"unseen":[151],"scenarios,":[152],"while":[153],"substantially":[154],"reducing":[155],"reliance":[156],"on":[157],"intervention.":[159],"results":[161],"effectiveness":[164],"integrating":[166],"knowledge":[168],"robust":[173],"AI":[175],"practical":[177],"applications.":[179]},"counts_by_year":[],"updated_date":"2026-06-06T06:22:57.294733","created_date":"2026-02-21T00:00:00"}
