{"id":"W4256212102","doi":"10.1017/s026357470700389x","title":"Modified Newton's method applied to potential field based navigation for nonholonomic robots in dynamic environments","year":2007,"lang":"en","type":"article","venue":"Robotica","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Ontario Tech University","funders":"","keywords":"Nonholonomic system; Robot; Computer science; Control theory (sociology); Field (mathematics); Mobile robot; Control engineering; Artificial intelligence; Engineering; Mathematics; Control (management)","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":[0.0005211016,0.0003989093,0.0003915868,0.0003109245,0.00019943,0.0003349881,0.0006189576,0.0005086564,0.001134277],"category_scores_gemma":[0.001597689,0.000270045,0.0003016859,0.000250334,0.0004896757,0.0005273379,0.0004327193,0.0005333623,0.0002139628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003059924,"about_ca_system_score_gemma":0.0004284863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00154639,"about_ca_topic_score_gemma":0.001132026,"domain_scores_codex":[0.9998212,0.00006950682,0.000007816668,0.00002229067,0.00007190803,0.000007211616],"domain_scores_gemma":[0.9995382,0.0002555067,0.00004884012,0.00003723687,0.00009807212,0.00002215837],"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":[0.0001225733,0.00004895471,0.0007422759,0.0002095801,0.00005122333,0.0002422857,0.0001840759,0.7297308,0.03070726,0.04587492,0.001642231,0.1904438],"study_design_scores_gemma":[0.000007411043,0.0000255322,0.0001040758,0.000005448949,0.000002461814,0.00002762137,0.000004328615,0.9934573,0.00116648,0.003662854,0.001530394,0.000006216281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01294875,0.0001675288,0.9855793,0.0000780617,0.00005855747,0.00002711617,0.000006967822,0.0001013428,0.001032405],"genre_scores_gemma":[0.3464279,0.0003824917,0.6479635,0.00006281445,0.00004753526,0.0002003324,0.00002878464,0.0001162378,0.004770368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00154639,"threshold_uncertainty_score":0.003794551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202838229016644,"score_gpt":0.2924205957372746,"score_spread":0.2803922134471081,"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."}}