{"id":"W2322153909","doi":"10.2514/6.2016-0384","title":"Bio-inspired Time-to-contact Control for Autonomous Quadrotor Vehicles","year":2016,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Else Kröner-Fresenius-Stiftung","keywords":"Computer science; Control (management); Control engineering; Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008353021,0.0002347631,0.0001513108,0.0001145045,0.0001804246,0.00024777,0.0002858791,0.0001813681,0.0005361039],"category_scores_gemma":[0.0001898463,0.00006145924,0.0001296119,0.00006321225,0.0002512582,0.0002062684,0.000320142,0.0001863343,0.00009099665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001832065,"about_ca_system_score_gemma":0.0001556726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008142855,"about_ca_topic_score_gemma":0.0007855911,"domain_scores_codex":[0.9999466,0.000007812104,0.000002327605,0.00001295457,0.00002490189,0.000005385965],"domain_scores_gemma":[0.9999352,0.00001629276,0.00002064376,0.000005555588,0.00001290322,0.000009476764],"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":[0.0001734466,0.00009791786,0.0009792212,0.0001512055,0.00004069681,0.0003486699,0.0002553837,0.549758,0.305416,0.02144401,0.000868874,0.1204665],"study_design_scores_gemma":[0.00000913816,0.0002093355,0.0004528857,0.000004262002,0.000005475902,0.00006993097,0.00002051855,0.9887332,0.006744088,0.001624031,0.00212113,0.000006013172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07197189,0.0003697628,0.9226018,0.0001066898,0.00008045539,0.00003686806,0.00001406286,0.0002054814,0.004612977],"genre_scores_gemma":[0.9692973,0.000132466,0.02869873,0.00003390008,0.00001293003,0.00003129549,0.00001371683,0.000009773313,0.001769879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008142855,"threshold_uncertainty_score":0.001793504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00968461774715961,"score_gpt":0.2176574020641019,"score_spread":0.2079727843169422,"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."}}