{"id":"W2498867431","doi":"10.1109/acc.2016.7525379","title":"Optimal actuator placement for vibration control of a planar cable-driven robotic manipulator","year":2016,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Actuator; Planar; Vibration; Control theory (sociology); Manipulator (device); Vibration control; Robot manipulator; Computer science; Robot; Control engineering; Control (management); Acoustics; Engineering; Physics; 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":[0.0001307016,0.0003268689,0.0001611916,0.0001056231,0.0001496185,0.0001405964,0.0002740005,0.0001964172,0.0007401589],"category_scores_gemma":[0.0003012467,0.0001201012,0.0001234686,0.00009206164,0.0002741944,0.0001583758,0.0002723054,0.0002029415,0.00009431878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001839901,"about_ca_system_score_gemma":0.0003143702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001482654,"about_ca_topic_score_gemma":0.001753663,"domain_scores_codex":[0.9999218,0.00001547306,0.000003191825,0.00001659766,0.00003417315,0.000008693963],"domain_scores_gemma":[0.9998986,0.00003360784,0.00003700316,0.000007093475,0.00001732379,0.000006547417],"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":[0.0002007755,0.00002902385,0.0007093964,0.0001886383,0.0000244475,0.0002376967,0.0001348463,0.752261,0.1865886,0.004320911,0.0004039996,0.05490066],"study_design_scores_gemma":[0.00003756698,0.0004246871,0.001080244,0.00001183755,0.00001221993,0.00008701636,0.00002918249,0.9809955,0.01500722,0.001148008,0.001153259,0.00001325989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1836426,0.0002370968,0.812344,0.00009572133,0.00002442581,0.00002567093,0.00002598314,0.0002757567,0.003328801],"genre_scores_gemma":[0.9780124,0.00007405227,0.02087328,0.00001034076,0.000007078517,0.00001821734,0.00001439391,0.000006643179,0.0009834935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001482654,"threshold_uncertainty_score":0.002948046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047867035644216,"score_gpt":0.2123699939266583,"score_spread":0.2018913235702161,"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."}}