{"id":"W2767529605","doi":"10.1109/tmech.2017.2771260","title":"Constrained Trajectory Generation and Control for a 9-Axis Micromachining Center With Four Redundant Axes","year":2017,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Control theory (sociology); Kinematics; Trajectory; Servo; Machine tool; Surface micromachining; Servomotor; Position (finance); Tracking error; Computer science; Engineering; Control engineering; Mechanical engineering; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002636971,0.0002882923,0.0003371753,0.00011866,0.0007318308,0.0002878993,0.0001526313,0.0001279889,0.00001566565],"category_scores_gemma":[0.00001152297,0.0002650413,0.0001088061,0.00003049877,0.00009301336,0.0002875082,9.924555e-7,0.0003253661,0.000006762601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001256505,"about_ca_system_score_gemma":0.00004897686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001717635,"about_ca_topic_score_gemma":0.0002146789,"domain_scores_codex":[0.9988201,0.00006642634,0.000271499,0.0003173485,0.0001535661,0.0003710862],"domain_scores_gemma":[0.9992468,0.00009897209,0.0001077862,0.0003790053,0.00007071458,0.00009673789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000612584,0.0001487622,0.0002591826,0.0003123669,0.001271617,0.00002003356,0.00332068,0.2828239,0.6797928,0.0008513428,0.0002049658,0.03038183],"study_design_scores_gemma":[0.01004224,0.0008309147,0.0001684524,0.0002050355,0.0002139714,0.0001137705,0.000221363,0.961832,0.02150996,0.00005092495,0.004133048,0.000678291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2461659,0.0001222024,0.7516828,0.0002299219,0.0006321666,0.0006806723,0.0001903444,0.0001877644,0.0001082274],"genre_scores_gemma":[0.9954621,0.0000243939,0.003756874,0.00004964362,0.0002006629,0.000217199,0.00001113248,0.00007799639,0.0002000061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7492962,"threshold_uncertainty_score":0.9999802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01663802341130343,"score_gpt":0.2267170198495614,"score_spread":0.2100789964382579,"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."}}