{"id":"W1800547807","doi":"10.1109/robot.1999.769911","title":"A neural network approach to real-time collision-free navigation of 3-DOF robots in 2D","year":2003,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Robot; Holonomic; Computer science; Trajectory; Artificial neural network; Workspace; Mobile robot; Cartesian coordinate system; Collision; Artificial intelligence; Control theory (sociology); Simulation; Mathematics","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":[0.0001892852,0.00044474,0.0003517517,0.0002555684,0.0002604237,0.0004082738,0.0006796443,0.0008575022,0.001028145],"category_scores_gemma":[0.000446393,0.0002655598,0.0003727029,0.0003078593,0.0003669999,0.0006341862,0.0004216177,0.0006500169,0.0001896626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006170698,"about_ca_system_score_gemma":0.0006340741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007469451,"about_ca_topic_score_gemma":0.006717397,"domain_scores_codex":[0.9999104,0.00001843818,0.000004643329,0.0000227256,0.00002980914,0.00001406667],"domain_scores_gemma":[0.9999088,0.00003895291,0.00001308511,0.000005750154,0.0000268137,0.00000655205],"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":[0.00001948843,0.00001391711,0.0001600281,0.00002781812,0.00001722989,0.00005637053,0.00002494659,0.9568434,0.003130745,0.006801114,0.000288716,0.0326162],"study_design_scores_gemma":[0.000002026645,0.000007301899,0.00003171994,0.000001384442,0.000002197099,0.000008581917,0.000001424174,0.9978521,0.0003559235,0.001541259,0.0001936027,0.000002489445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008951008,0.0003250744,0.9886614,0.0001190526,0.0000325056,0.00001153773,0.00001838492,0.0001823104,0.00169872],"genre_scores_gemma":[0.6478512,0.0007854771,0.3439287,0.0001597846,0.00008097552,0.0002293311,0.00008667535,0.0000602852,0.006817652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007469451,"threshold_uncertainty_score":0.01485193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810913678602367,"score_gpt":0.2457353043102942,"score_spread":0.2276261675242706,"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."}}