{"id":"W4380839163","doi":"10.1109/lcsys.2023.3286774","title":"A Set-Theoretic Control Approach to the Trajectory Tracking Problem for Input–Output Linearized Wheeled Mobile Robots","year":2023,"lang":"en","type":"article","venue":"IEEE Control Systems Letters","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Trajectory; Mobile robot; Control theory (sociology); Tracking (education); Set (abstract data type); Robot; Control (management); Computer science; Control engineering; Artificial intelligence; Engineering; Physics; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006694443,0.0007704139,0.0006431275,0.0004507652,0.0003876967,0.00102683,0.001154186,0.000823722,0.001705231],"category_scores_gemma":[0.001141481,0.0003467577,0.0008350911,0.0003822088,0.00117175,0.0008049453,0.00102068,0.00131495,0.0003125822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009865392,"about_ca_system_score_gemma":0.0008351133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002548497,"about_ca_topic_score_gemma":0.001461879,"domain_scores_codex":[0.9995939,0.00009657768,0.00002009599,0.0000869853,0.0001707298,0.00003165451],"domain_scores_gemma":[0.9995803,0.0001960165,0.0000744892,0.0000405286,0.00009140684,0.0000172972],"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":[0.00003371669,0.00002662325,0.0001721787,0.0001758585,0.00003493072,0.00008360479,0.0001603834,0.891008,0.006981699,0.0748014,0.0006648157,0.02585681],"study_design_scores_gemma":[0.000005119944,0.00005683972,0.00005018782,0.00001182173,0.000005854792,0.00001916711,0.00001146016,0.9876564,0.001242838,0.009891059,0.001040745,0.000008497284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001906295,0.00007624267,0.9963543,0.00004798666,0.00001459242,0.00001379384,0.00001125038,0.00005040127,0.001525153],"genre_scores_gemma":[0.7802398,0.0005325653,0.213394,0.0001701975,0.00009670465,0.0003025318,0.0001192399,0.00007217317,0.005072758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002548497,"threshold_uncertainty_score":0.007157922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230614437900993,"score_gpt":0.2108211385118945,"score_spread":0.1985149941328846,"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."}}