{"id":"W2003987973","doi":"10.1016/j.robot.2005.10.001","title":"A higher level path tracking controller for a four-wheel differentially steered mobile robot","year":2005,"lang":"en","type":"article","venue":"Robotics and Autonomous Systems","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":158,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université TÉLUQ; École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Computer science; Mobile robot; Controller (irrigation); Robot; Path (computing); Heuristic; Trajectory; Fuzzy logic; Robot control; Control theory (sociology); Motion planning; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002026579,0.0003744013,0.0006726481,0.0001019143,0.0001730581,0.0002852333,0.0001819124,0.0001983953,0.00001983698],"category_scores_gemma":[0.000009621999,0.0003460156,0.0001827877,0.0000646138,0.00002825734,0.0001545754,0.00003963667,0.000166646,0.00002341123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001329342,"about_ca_system_score_gemma":0.00003414787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003604978,"about_ca_topic_score_gemma":0.00004744442,"domain_scores_codex":[0.9982961,0.00002723791,0.0005817027,0.0003516847,0.0001792118,0.0005640017],"domain_scores_gemma":[0.9992043,0.0001512538,0.0001019496,0.0002568117,0.0001009402,0.000184709],"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":[0.00002353026,0.00006061087,0.00005240964,0.0002071623,0.0001762207,0.000003949714,0.0000964037,0.9608902,0.002932743,0.002951344,0.0002642519,0.03234114],"study_design_scores_gemma":[0.002824131,0.0001142627,0.0009944241,0.00009869245,0.00009851105,0.00001975628,0.00003418204,0.9821673,0.00001842588,0.00007681911,0.0131011,0.0004523711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01593053,0.01073794,0.9645021,0.0002832695,0.002169753,0.003360549,0.0002961874,0.0008444698,0.001875204],"genre_scores_gemma":[0.9912336,0.00007446717,0.003022162,0.00003184244,0.0007145846,0.0004393166,0.0000243522,0.00009991126,0.004359743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9753031,"threshold_uncertainty_score":0.9998992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02310563493639737,"score_gpt":0.2159503612402744,"score_spread":0.192844726303877,"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."}}