{"id":"W2249977607","doi":"10.1139/tcsme-2012-0006","title":"EFFECT OF SERVO SYSTEMS ON THE CONTOURING ERRORS IN INDUSTRIAL ROBOTS","year":2012,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Contouring; Servo; Industrial robot; Robot; Servomechanism; Cartesian coordinate system; Control theory (sociology); Computer science; Servo control; Trajectory; RADIUS; Simulation; Tracking error; Motion control; Engineering; Artificial intelligence; Mathematics; Control engineering; Control (management); Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001912263,0.0005798659,0.0004362674,0.0008713728,0.000336166,0.0005245631,0.0004761948,0.000745523,0.0005870711],"category_scores_gemma":[0.0220228,0.0003958609,0.0002843289,0.0006488934,0.0007549303,0.000696851,0.000453313,0.0004694405,0.0001424897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004041265,"about_ca_system_score_gemma":0.0003260318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001777193,"about_ca_topic_score_gemma":0.000919506,"domain_scores_codex":[0.9973004,0.000450758,0.0002125562,0.0003685569,0.001544793,0.000122814],"domain_scores_gemma":[0.9741023,0.01852765,0.003427319,0.001798435,0.002005392,0.0001387828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002115203,0.0002372238,0.03376323,0.0006646412,0.0001034777,0.0007411495,0.0007979756,0.5803048,0.2098473,0.000916678,0.0003193437,0.170189],"study_design_scores_gemma":[0.00004032699,0.001805159,0.04412861,0.00005945489,0.00006886662,0.0005689564,0.00008961707,0.6693996,0.2824488,0.0005373687,0.0007679421,0.00008531535],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8265063,0.0007815563,0.1699961,0.00006859312,0.00004494519,0.00005268901,0.00006054245,0.001209478,0.001279831],"genre_scores_gemma":[0.9911569,0.00007545761,0.008500915,0.000009700714,0.000003029248,0.000008781602,0.00002260641,0.00003896371,0.0001836309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001912263,"threshold_uncertainty_score":0.01011318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02351638753546354,"score_gpt":0.2234490874926245,"score_spread":0.199932699957161,"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."}}