{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002960169,0.000375493,0.0003614234,0.0003535355,0.0002623333,0.0004648819,0.0003910888,0.0008339504,0.001503517],"category_scores_gemma":[0.001127483,0.0001907671,0.0002489404,0.0009134384,0.0003900372,0.0005465208,0.00040745,0.0005912601,0.0002430935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005116891,"about_ca_system_score_gemma":0.000309732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003543834,"about_ca_topic_score_gemma":0.002298888,"domain_scores_codex":[0.9998713,0.00004452084,0.000008997449,0.00002458679,0.00004046356,0.00001029324],"domain_scores_gemma":[0.9997062,0.0001972564,0.00001891143,0.00001504955,0.00005482087,0.000007746017],"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":[0.00004854366,0.00002245898,0.0004427207,0.0001726485,0.00003723424,0.000179592,0.0000442375,0.8283594,0.005972049,0.0277783,0.001221124,0.1357217],"study_design_scores_gemma":[0.00000481249,0.00001732697,0.0001336057,0.00001507668,0.000008767594,0.00004792524,0.000009556825,0.9791437,0.002060712,0.01542137,0.003129723,0.000007422002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02050426,0.00988377,0.9543342,0.0008972627,0.000236594,0.00003591971,0.00004679028,0.0003921035,0.01366914],"genre_scores_gemma":[0.7497549,0.01164413,0.2272472,0.0002422915,0.0002230185,0.0001499865,0.0001101492,0.00007385534,0.0105544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003543834,"threshold_uncertainty_score":0.007046402,"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."}}