{"id":"W2018682346","doi":"10.1002/rob.20004","title":"A New Navigation Method for an Automatic Guided Vehicle","year":2004,"lang":"en","type":"article","venue":"Journal of Robotic Systems","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Process (computing); Scheme (mathematics); Automated guided vehicle; Computer science; Artificial neural network; Control engineering; Fuzzy logic; Artificial intelligence; Measure (data warehouse); Control (management); Navigation system; Automatic control; Engineering; Real-time computing; Simulation; Data mining","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":[0.001822986,0.0001562829,0.0004483346,0.0001858597,0.00009902632,0.0002799589,0.0009009793,0.00008956931,8.28976e-7],"category_scores_gemma":[0.0001942822,0.0001299014,0.0001389641,0.0003414798,0.00001021955,0.0008858072,0.00003858675,0.0001513944,0.00001343199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002254513,"about_ca_system_score_gemma":0.0004945246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001644415,"about_ca_topic_score_gemma":5.935962e-7,"domain_scores_codex":[0.9978939,0.0001776596,0.0008820892,0.0002123637,0.000547159,0.0002868834],"domain_scores_gemma":[0.9978856,0.0002269636,0.0008381804,0.0004191734,0.0003378514,0.0002922204],"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":[0.000003513695,0.00004953726,0.00007495763,0.00007573865,0.00005366076,0.00004834567,0.001239765,0.9793004,0.00162675,0.00461123,0.00139113,0.01152494],"study_design_scores_gemma":[0.001513288,0.0006303283,0.0005714532,0.0006112995,0.00004234922,0.002655263,0.0001133425,0.989301,0.0003562575,0.003944831,0.0000976536,0.0001629473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002691336,0.0002538664,0.9932016,0.0006730201,0.002732715,0.0003149991,4.842852e-7,0.00008595658,0.00004602201],"genre_scores_gemma":[0.05133333,0.000001053349,0.9478931,0.0000624715,0.0005737706,0.000005554096,0.000001055593,0.00001647825,0.0001131258],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.048642,"threshold_uncertainty_score":0.5297225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04966550122999226,"score_gpt":0.3392969090700151,"score_spread":0.2896314078400229,"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."}}