{"id":"W2127607541","doi":"10.1109/imtc.2002.1007202","title":"Behavior-based neuro-fuzzy controller for mobile robot navigation","year":2003,"lang":"en","type":"article","venue":"","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada; University of Ottawa","funders":"","keywords":"Mobile robot; Computer science; Mobile robot navigation; Neuro-fuzzy; Fuzzy logic; Controller (irrigation); Robot control; Robot; Artificial intelligence; Fuzzy control system; Control engineering; Engineering","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":[0.0003121461,0.0001362536,0.0002022324,0.00004320174,0.0001264738,0.0001344761,0.0003740865,0.00006937725,0.00001007704],"category_scores_gemma":[0.00004605776,0.0001086428,0.0001288577,0.0001596044,0.00002077291,0.0001966175,0.00001705612,0.00006098731,0.00005169697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002830367,"about_ca_system_score_gemma":0.00006232556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002901399,"about_ca_topic_score_gemma":0.0000025689,"domain_scores_codex":[0.9988177,0.00009169747,0.0002520974,0.0003575348,0.0001988395,0.0002821008],"domain_scores_gemma":[0.9991355,0.0002140642,0.00008216726,0.0003559331,0.0001225969,0.00008976688],"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":[0.00005272531,0.0004030171,0.001930223,0.00003093188,0.0000240567,0.00001693228,0.0001036022,0.00693909,0.01191092,0.9435858,0.003797146,0.03120551],"study_design_scores_gemma":[0.03537452,0.005845688,0.006431458,0.00009248198,0.0001925812,0.0001306399,0.0002926282,0.693555,0.01610918,0.114174,0.1249545,0.002847256],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004308783,0.0001149392,0.9719353,0.0002279007,0.0006028147,0.001428284,0.000002811149,0.0002480908,0.0211311],"genre_scores_gemma":[0.9778084,4.802885e-7,0.01931485,0.0009198581,0.00004681127,0.001169498,0.000003952507,0.00000934249,0.000726759],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9734997,"threshold_uncertainty_score":0.4430324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688967381678102,"score_gpt":0.2459955130437997,"score_spread":0.2291058392270187,"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."}}