{"id":"W2074668827","doi":"10.1109/tcst.2012.2223470","title":"Path Following for a Class of Mechanical Systems","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Control Systems Technology","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Traverse; Path (computing); Control engineering; Linearization; Feedback linearization; Motion control; Motion planning; A priori and a posteriori; Mechanical system; Computer science; Trajectory; Control system; Engineering; Nonlinear system; Robot; Control (management); Artificial intelligence","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":[0.0002773183,0.0003994613,0.000221813,0.0003186654,0.0004490204,0.000787669,0.0003880463,0.0004579504,0.003597911],"category_scores_gemma":[0.0011508,0.00009765047,0.0003429246,0.0003165075,0.000744805,0.001040368,0.0005927275,0.000829157,0.0005536204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000437487,"about_ca_system_score_gemma":0.0006416708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001414029,"about_ca_topic_score_gemma":0.001074149,"domain_scores_codex":[0.9996672,0.00004720912,0.00001616974,0.00009020685,0.0001507869,0.00002848594],"domain_scores_gemma":[0.9996356,0.0001411247,0.00006607016,0.00004326327,0.00009773015,0.00001632937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006181457,0.00008781158,0.001027766,0.0003097613,0.00002837818,0.0004198625,0.0004262585,0.1326261,0.02818054,0.6828236,0.0058955,0.1481126],"study_design_scores_gemma":[0.00003136947,0.0002075828,0.0007134784,0.00003874466,0.00001119433,0.0004304054,0.00008071677,0.6569949,0.003877271,0.3043424,0.0332437,0.00002822252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02253047,0.0005190171,0.9639156,0.0002804243,0.0000641759,0.0000953169,0.00010611,0.0002427752,0.01224609],"genre_scores_gemma":[0.7484976,0.002085772,0.2279454,0.0003176995,0.0002674957,0.0004248534,0.0005821318,0.0001044563,0.0197746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003597911,"threshold_uncertainty_score":0.0120362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009007177646848979,"score_gpt":0.2116970276516212,"score_spread":0.2026898500047722,"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."}}