{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002022623,0.00008367978,0.00009311939,0.00001952839,0.00005612293,0.0002993899,0.0002010059,0.00002504306,0.000002759706],"category_scores_gemma":[0.00001939471,0.00007093801,0.00003222862,0.00009358429,0.00002328763,0.0003079575,0.0000495103,0.00004456944,0.00004143831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000363498,"about_ca_system_score_gemma":0.00004674053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008988468,"about_ca_topic_score_gemma":1.084235e-7,"domain_scores_codex":[0.9992709,0.00001569156,0.0001173845,0.0002944179,0.0001201317,0.0001815116],"domain_scores_gemma":[0.9996174,0.0001161999,0.00001582515,0.0001484447,0.00003459819,0.00006754936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000287126,0.00004964726,0.0006425735,0.0001853229,0.0001331758,0.0002211489,0.0004363536,0.01786734,0.0004455881,0.5225081,0.02708626,0.4303958],"study_design_scores_gemma":[0.000329056,0.00007400548,0.0007563204,0.00003542572,0.000007672063,0.0001401418,0.000004560686,0.9914252,0.0001564997,0.005023859,0.001950547,0.00009676678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003658434,0.0003050967,0.9920647,0.001571059,0.0005886581,0.0001905722,0.00001773571,0.0002744148,0.001329326],"genre_scores_gemma":[0.3971035,0.000001724376,0.6020354,0.0002259373,0.0001051649,0.00001766671,0.000006834894,0.000004603565,0.0004992066],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9735578,"threshold_uncertainty_score":0.2892768,"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."}}