{"id":"W2003618165","doi":"10.2316/journal.206.2010.4.206-3347","title":"ROBUST ADAPTIVE TRACKING AND REGULATION OF WHEELED MOBILE ROBOTS VIOLATING KINEMATIC CONSTRAINT","year":2010,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Constraint (computer-aided design); Kinematics; Mobile robot; Computer science; Tracking (education); Robot; Control theory (sociology); Artificial intelligence; Engineering; Control (management); Physics; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002617303,0.00009684829,0.0001913443,0.0001748853,0.00002770078,0.00006205386,0.00008556043,0.00006548025,0.00001385322],"category_scores_gemma":[0.00007358642,0.00009020192,0.00004834645,0.00004573426,0.00004428472,0.0003124168,0.00001975209,0.0001780034,3.34154e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002152764,"about_ca_system_score_gemma":0.00002127719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003779454,"about_ca_topic_score_gemma":0.00001450294,"domain_scores_codex":[0.9991152,0.00001375289,0.0004913469,0.00006680544,0.0002355271,0.00007739689],"domain_scores_gemma":[0.9991006,0.0001271305,0.0003076658,0.00005101513,0.0003644846,0.00004913845],"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":[0.00001137818,0.00001899708,0.0005230082,0.00002922134,0.00007531545,0.000002928909,0.0001816773,0.8938259,0.05445976,0.002986548,0.000005514375,0.0478797],"study_design_scores_gemma":[0.000600188,0.00006110937,0.02267449,0.0001825607,0.0000318485,0.0001426384,0.00008530873,0.9740756,0.0005522888,0.001503537,0.000006574599,0.00008385719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7236694,0.0001866638,0.2750684,0.00009992428,0.0006523588,0.00011534,0.000004986407,0.00002702181,0.0001759904],"genre_scores_gemma":[0.9590042,0.00006107063,0.0407834,0.000006046239,0.0001241035,0.000001853647,0.000004076074,0.00001068994,0.000004551844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2353349,"threshold_uncertainty_score":0.3678328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00892076112615187,"score_gpt":0.2164950043754747,"score_spread":0.2075742432493229,"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."}}