{"id":"W3217028903","doi":"","title":"PUMA-560 Robot Manipulator Position Computed Torque Control Methods Using MATLAB/SIMULINK and Their Integration into Graduate Nonlinear Control and MATLAB Courses","year":2012,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":120,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"MATLAB; Computer science; Control theory (sociology); Nonlinear system; Control engineering; Torque; Control (management); Engineering; Artificial intelligence; Physics; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000716437,0.0002226901,0.0003823654,0.0002482276,0.0000750265,0.0002003745,0.0001049134,0.0001110475,0.000002603716],"category_scores_gemma":[0.00008675476,0.0001851112,0.00006454567,0.00006168653,0.00004939159,0.000778369,0.00002562662,0.0002174177,0.000001088179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001504763,"about_ca_system_score_gemma":0.00002374595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002406079,"about_ca_topic_score_gemma":0.000005824715,"domain_scores_codex":[0.9986789,0.0001377718,0.0006380257,0.0001133143,0.0002628798,0.0001691512],"domain_scores_gemma":[0.9985813,0.0002517801,0.0003895564,0.00007035468,0.00056875,0.0001382347],"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":[0.0002881725,0.0001875403,0.005673539,0.0001682401,0.001630758,0.00002245894,0.002410122,0.686293,0.2017667,0.003065296,0.0000842842,0.09840991],"study_design_scores_gemma":[0.001807114,0.00007757841,0.0126518,0.0002239891,0.0001049699,0.000403514,0.0001803127,0.9829432,0.0009859235,0.000346981,0.0001003862,0.0001742558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.279585,0.001472399,0.717303,0.0004594791,0.0009567266,0.0001579374,0.000016814,0.00004184827,0.000006782606],"genre_scores_gemma":[0.8945094,0.0001011859,0.1044948,0.00008878588,0.0007564464,0.000001875862,0.00001647971,0.00002829589,0.000002805773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6149243,"threshold_uncertainty_score":0.7548617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02980525537656286,"score_gpt":0.3084791463942204,"score_spread":0.2786738910176575,"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."}}