{"id":"W2098789596","doi":"10.1109/cca.2005.1507124","title":"A fuzzy logic-based reactive navigation algorithm for mobile robots","year":2005,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Mobile robot; Fuzzy logic; Robot; Mobile robot navigation; Computer science; Obstacle; Obstacle avoidance; Computer vision; Navigation system; Algorithm; Feature (linguistics); Artificial intelligence; Real-time computing; Robot control","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":[0.0003345663,0.000167144,0.000176332,0.00008937913,0.0001322373,0.0001093148,0.0005569549,0.00009323829,0.000006277237],"category_scores_gemma":[0.00003094882,0.0001479673,0.00008532223,0.0002816894,0.00003121209,0.0005175962,0.00006523647,0.0001126507,0.0001274572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001198128,"about_ca_system_score_gemma":0.00009788013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002149935,"about_ca_topic_score_gemma":6.878932e-7,"domain_scores_codex":[0.998624,0.00004099731,0.0002323519,0.0004794767,0.0002653002,0.0003578583],"domain_scores_gemma":[0.9989285,0.0002201605,0.0001103034,0.0004661157,0.0001650464,0.0001098602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004575798,0.0001734785,0.00002255245,0.000007979898,0.00001748688,0.00001223698,0.000332944,0.1167901,0.0006299973,0.005791096,0.001983175,0.8742344],"study_design_scores_gemma":[0.0005877723,0.0002178152,0.0001399905,0.00002100759,0.000006164205,0.00001670881,0.00002303225,0.9869564,0.006837806,0.002824973,0.002149668,0.0002187211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002825849,0.00005659825,0.9946038,0.0007957139,0.0002779826,0.0005673957,0.000007903504,0.0004488305,0.002959162],"genre_scores_gemma":[0.009747121,7.137729e-7,0.9883664,0.0007475223,0.0002031283,0.0002523315,0.00003052786,0.00001232063,0.0006398935],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8740157,"threshold_uncertainty_score":0.603393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02232825293144753,"score_gpt":0.2889832436219081,"score_spread":0.2666549906904606,"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."}}