{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002131069,0.0004151302,0.0003448889,0.0005322983,0.0004130997,0.000424341,0.000666104,0.0006608882,0.00285948],"category_scores_gemma":[0.0003930859,0.0001824624,0.0003269257,0.0002750795,0.0003851558,0.0005847134,0.0005901789,0.0005620565,0.0007242896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003561155,"about_ca_system_score_gemma":0.0006534458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002745971,"about_ca_topic_score_gemma":0.002746739,"domain_scores_codex":[0.9997534,0.0000418196,0.00001069759,0.00006155707,0.0001191589,0.00001325626],"domain_scores_gemma":[0.9998722,0.00002445641,0.00001108387,0.00001276552,0.00006798438,0.00001154082],"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":[0.00010646,0.00006568582,0.0007038446,0.0003221837,0.00006368602,0.0002448329,0.0003195835,0.0849343,0.08489668,0.06137418,0.006674754,0.7602938],"study_design_scores_gemma":[0.00008522534,0.0001499129,0.000370927,0.00003913676,0.0000407684,0.0006315903,0.00005246556,0.9165626,0.01385722,0.01116721,0.05699236,0.00005059431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00380352,0.0001769379,0.9932807,0.00006266734,0.0001226074,0.00002766285,0.00001219081,0.0003908804,0.002122846],"genre_scores_gemma":[0.1327917,0.0002588837,0.8564423,0.00009245786,0.00008847154,0.0001412032,0.00006729796,0.00007801222,0.01003974],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00285948,"threshold_uncertainty_score":0.00956589,"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."}}