{"id":"W2162211279","doi":"10.2514/6.2012-5049","title":"Relative Position-Based Visual Servoing Control for Quadrotors","year":2012,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Visual servoing; Position (finance); Computer science; Computer vision; Artificial intelligence; Control (management); Control theory (sociology); Robot","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002834059,0.0002207053,0.000281681,0.00007976978,0.0002201221,0.00008859183,0.00007917804,0.0001351641,0.00001451024],"category_scores_gemma":[0.0000597621,0.0002252555,0.00006890116,0.0001527804,0.00007291388,0.0003728948,0.000003837321,0.0001168071,0.000009168264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006630231,"about_ca_system_score_gemma":0.00005753989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000018946,"about_ca_topic_score_gemma":0.000006180959,"domain_scores_codex":[0.9988507,0.00006452988,0.0003818656,0.0001955003,0.000148914,0.0003585082],"domain_scores_gemma":[0.9989916,0.0003070679,0.00009203015,0.0001389324,0.0003388906,0.0001314605],"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":[0.000663261,0.0003333218,0.1502513,0.00105016,0.0007906636,0.000004790918,0.00150772,0.4237412,0.08838235,0.3202209,0.001764162,0.01129017],"study_design_scores_gemma":[0.003836622,0.0001017016,0.01413835,0.00019293,0.0001207397,0.000001827696,0.00006512406,0.9751697,0.00255326,0.001745063,0.00173595,0.0003387304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08665384,0.0007371758,0.9106438,0.0002401687,0.0003186392,0.0007366709,0.00004863274,0.0001619125,0.0004592046],"genre_scores_gemma":[0.9978667,0.00001673935,0.001132407,0.0004324361,0.0001610974,0.000201732,0.0001030184,0.00003438557,0.00005143519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9112129,"threshold_uncertainty_score":0.9185651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00870398673387723,"score_gpt":0.232362670311026,"score_spread":0.2236586835771488,"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."}}