{"id":"W2095846163","doi":"10.1109/ijcnn.2009.5178773","title":"Speed control of a mobile robot using neural networks and fuzzy logic","year":2009,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Mobile robot; Artificial neural network; Computer science; Fuzzy logic; Motion planning; Fuzzy control system; Artificial intelligence; Mobile robot navigation; Robot; Control system; Control engineering; Computational intelligence; Path (computing); Robot control; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003198034,0.0004693452,0.000222255,0.0003205494,0.0003366251,0.0005466046,0.0004341286,0.00047428,0.0007497051],"category_scores_gemma":[0.0007230851,0.0001953405,0.0002950781,0.0002193347,0.0003767758,0.0004966274,0.0002734314,0.0003435442,0.000142923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005956244,"about_ca_system_score_gemma":0.0005625469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007101295,"about_ca_topic_score_gemma":0.006448356,"domain_scores_codex":[0.9998436,0.00002904299,0.000009766703,0.00003266253,0.00006557183,0.00001930793],"domain_scores_gemma":[0.9998268,0.00006359468,0.00003094756,0.00001226862,0.00005779923,0.000008505872],"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":[0.0001731309,0.00007856108,0.001200513,0.0001163418,0.00005844151,0.0001243789,0.0001177712,0.7586221,0.04247741,0.01135061,0.0006640591,0.1850166],"study_design_scores_gemma":[0.00002082766,0.00007989711,0.0003836137,0.00001082565,0.00002127523,0.00003021588,0.00001126076,0.9902685,0.005349739,0.002635994,0.001176247,0.00001161746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05957991,0.0003995886,0.9328884,0.0001473406,0.00004999652,0.00005962068,0.000020093,0.0006325552,0.006222509],"genre_scores_gemma":[0.8578726,0.0002675691,0.1383801,0.00004951489,0.00002636582,0.0001202705,0.00003618209,0.00002118852,0.003226073],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007101295,"threshold_uncertainty_score":0.01411992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02421154372734251,"score_gpt":0.2666118251362942,"score_spread":0.2424002814089517,"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."}}