{"id":"W4413394412","doi":"10.23919/acc63710.2025.11107930","title":"Hybrid Feedback for Three-dimensional Convex Obstacle Avoidance","year":2025,"lang":"en","type":"article","venue":"","topic":"Guidance and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Lakehead University","funders":"","keywords":"Obstacle avoidance; Regular polygon; Computer science; Obstacle; Control theory (sociology); Mathematics; Artificial intelligence; Robot; Mobile robot; Control (management); Geometry","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":[0.000153067,0.0004281019,0.0002793137,0.0001962414,0.0002709437,0.0003315905,0.0006418619,0.000354384,0.0009554015],"category_scores_gemma":[0.0002740499,0.0001507349,0.0002537254,0.0001439051,0.0004576709,0.0003483891,0.0008582408,0.0004376301,0.0001363238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002894565,"about_ca_system_score_gemma":0.0003386455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003416237,"about_ca_topic_score_gemma":0.002884572,"domain_scores_codex":[0.9999064,0.00001507607,0.000003425428,0.00001410577,0.0000471513,0.00001372647],"domain_scores_gemma":[0.9998653,0.00004812242,0.00002244158,0.00001071109,0.00003951608,0.00001382683],"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":[0.0001437939,0.00005352316,0.0004319244,0.0001458333,0.00004812927,0.0002914613,0.000264414,0.8033707,0.07275042,0.02915264,0.001346738,0.09200048],"study_design_scores_gemma":[0.0000116125,0.00007843472,0.00008864261,0.000004147574,0.000004816499,0.00001982427,0.00001004808,0.9943981,0.002973556,0.001747205,0.0006542809,0.000009385683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02361744,0.0001357989,0.974309,0.00005793955,0.00004032269,0.00001726817,0.0000120057,0.0002283499,0.001581849],"genre_scores_gemma":[0.9458767,0.0001344076,0.05193673,0.00006332021,0.00001571139,0.00008726355,0.00002841732,0.00001640749,0.001841099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003416237,"threshold_uncertainty_score":0.006792724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007232701109001437,"score_gpt":0.2069636273835835,"score_spread":0.1997309262745821,"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."}}