{"id":"W4236810417","doi":"10.32920/ryerson.14660991","title":"Stochastic Optimal Control with Application in Visual Servoing","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Visual servoing; Computer science; Inference; Inverted pendulum; Robotics; Artificial intelligence; Image (mathematics); Nonlinear system; Mathematical optimization; Robot; Mathematics","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":[0.000728722,0.0005172904,0.0006161565,0.0003586658,0.0002243894,0.0005039076,0.0005569476,0.000676473,0.0009398642],"category_scores_gemma":[0.00222196,0.0002511624,0.0005242567,0.0004058923,0.0007217643,0.0004286638,0.0006583002,0.001061655,0.0001369393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005479614,"about_ca_system_score_gemma":0.0007149561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003763745,"about_ca_topic_score_gemma":0.001897397,"domain_scores_codex":[0.9995776,0.00009108549,0.00002535381,0.00008974931,0.0001861521,0.00003002495],"domain_scores_gemma":[0.9994598,0.0003067053,0.00007668181,0.00002515877,0.0001108896,0.00002064623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003275607,0.00001995472,0.0002168316,0.0001327104,0.00003045809,0.00005077813,0.00005657886,0.8988696,0.003943916,0.05336358,0.0004633831,0.04281953],"study_design_scores_gemma":[0.000002917401,0.00001246768,0.00004737643,0.000004793395,0.000002518939,0.000007833935,0.00000207621,0.9932483,0.0003956475,0.005644578,0.0006280423,0.000003513745],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.002917907,0.0004549995,0.9955223,0.00008571483,0.00004166275,0.000008321822,0.000007948746,0.00005877138,0.0009023746],"genre_scores_gemma":[0.7494385,0.002269152,0.2424267,0.0002049844,0.000272561,0.0001176009,0.0000842298,0.00007854054,0.005107695],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.003763745,"threshold_uncertainty_score":0.007483661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007432361106871361,"score_gpt":0.2806139536665156,"score_spread":0.2731815925596442,"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."}}