{"id":"W622964856","doi":"10.1007/s10846-015-0236-9","title":"Cooperative Tracking a Moving Target Using Multiple Fixed-wing UAVs","year":2015,"lang":"en","type":"article","venue":"Journal of Intelligent & Robotic Systems","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Tracking (education); Range (aeronautics); Track (disk drive); Wing; Control theory (sociology); Computer science; Fixed wing; Scheme (mathematics); Separation (statistics); Algorithm; Artificial intelligence; Engineering; Aerospace engineering; Mathematics; Control (management)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004229846,0.0005488519,0.000638984,0.000386864,0.0007749478,0.0005459272,0.0008637786,0.0008018325,0.0006895245],"category_scores_gemma":[0.0009818068,0.0003469893,0.0004543967,0.0003697962,0.0003946838,0.0007391949,0.001289476,0.0004588313,0.0002305894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002842658,"about_ca_system_score_gemma":0.0004272228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003063239,"about_ca_topic_score_gemma":0.002692848,"domain_scores_codex":[0.9996926,0.00005177025,0.0000159421,0.00008754734,0.00009214042,0.00006006881],"domain_scores_gemma":[0.9994565,0.0001134703,0.00009744575,0.0001114472,0.0001471536,0.00007403115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009989202,0.0002090279,0.010969,0.0001692803,0.0003362037,0.001492621,0.0007557952,0.5182477,0.2316536,0.005457569,0.001176035,0.2285342],"study_design_scores_gemma":[0.0000260695,0.000331608,0.001584684,0.000007730441,0.00004416886,0.0002071866,0.0001122469,0.9839109,0.01165646,0.001240314,0.0008645419,0.00001403867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4856821,0.0003941941,0.5078135,0.0002411888,0.0001413438,0.00005585809,0.00002349697,0.0002782889,0.005370015],"genre_scores_gemma":[0.9777799,0.00005886655,0.02076718,0.00001920041,0.00001393233,0.00001901585,0.00001335702,0.000003983461,0.001324562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003063239,"threshold_uncertainty_score":0.00609082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08292814693169615,"score_gpt":0.292234452415665,"score_spread":0.2093063054839689,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}