{"id":"W1901839089","doi":"10.1109/pacrim.1999.799612","title":"Neural network application in robot motion planning","year":2003,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Robot; Artificial neural network; Motion planning; Holonomic; Computer science; Mobile robot; Nonholonomic system; Obstacle avoidance; Artificial intelligence; Robot kinematics; Robot control; Motion (physics); Control engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003719631,0.00008583602,0.00009421279,0.00006396261,0.00005777739,0.00005841645,0.0003037945,0.00004732115,0.000002733115],"category_scores_gemma":[0.00003075414,0.00008325942,0.00001847402,0.0004957239,0.000009607779,0.0002731576,0.00003982878,0.0001169206,0.00004518159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003571507,"about_ca_system_score_gemma":0.00001585359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002607583,"about_ca_topic_score_gemma":0.000001698278,"domain_scores_codex":[0.9990463,0.00008003441,0.0001725631,0.0002835104,0.000141811,0.0002758441],"domain_scores_gemma":[0.9995083,0.00005873968,0.00004985211,0.0003158231,0.00001803569,0.00004923251],"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":[5.043236e-7,0.00001589164,0.02744102,0.000001683736,0.000001274649,0.000009567081,0.0001325619,0.9365276,0.00005767462,0.02260745,0.0002478438,0.01295701],"study_design_scores_gemma":[0.0001445386,0.0000146287,0.0448387,0.000008802276,7.305562e-7,0.00002023238,0.000009421363,0.9519647,0.00009136909,0.002577746,0.0002262204,0.000102959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003444026,0.00007160716,0.9895054,0.0001748904,0.0002818372,0.000118585,5.133522e-8,0.0001777919,0.006225785],"genre_scores_gemma":[0.5961353,5.054873e-7,0.4035094,0.0001883645,0.00004249541,0.00001539072,0.000001661056,0.000004393393,0.0001024974],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5926913,"threshold_uncertainty_score":0.339522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02375388967921627,"score_gpt":0.2623012999357578,"score_spread":0.2385474102565415,"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."}}