{"id":"W4402265811","doi":"10.23919/acc60939.2024.10644387","title":"Hybrid Feedback Control for Global and Optimal Safe Navigation","year":2024,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Control (management); Feedback control; Control theory (sociology); Control engineering; Engineering; Artificial intelligence","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":[0.000318949,0.0006024434,0.0003242497,0.0002649922,0.0002973982,0.0006050449,0.0006001376,0.0004100497,0.001265461],"category_scores_gemma":[0.0004664709,0.0001966852,0.000269914,0.0001832149,0.000697408,0.0005075376,0.0007998431,0.0004755235,0.0001914824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004421221,"about_ca_system_score_gemma":0.0004747321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003485756,"about_ca_topic_score_gemma":0.003010381,"domain_scores_codex":[0.9998246,0.00003064405,0.000007042117,0.000033826,0.00007459884,0.00002935539],"domain_scores_gemma":[0.9998094,0.00008289587,0.00003417697,0.0000135222,0.00004653804,0.00001346938],"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":[0.0001352249,0.00004247358,0.000320569,0.0001107142,0.00003275509,0.0001557831,0.0001583323,0.8731544,0.01994095,0.03428525,0.001361177,0.07030246],"study_design_scores_gemma":[0.00001576075,0.000125869,0.0000874933,0.00000676603,0.000008134676,0.00002381139,0.00001408047,0.9908894,0.001702124,0.005988175,0.00112983,0.000008626619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01514896,0.0002354933,0.9815421,0.00007036727,0.00004985116,0.00001341229,0.00001147512,0.0002477788,0.002680647],"genre_scores_gemma":[0.9584975,0.0001746255,0.03864675,0.00006038397,0.00002921657,0.00008171423,0.00002572665,0.00002232769,0.00246175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003485756,"threshold_uncertainty_score":0.006930947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215291836834741,"score_gpt":0.2670697572926217,"score_spread":0.2549168389242743,"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."}}