{"id":"W2147399537","doi":"10.1109/tie.2010.2072890","title":"Dynamic Load Emulation in Hardware-in-the-Loop Simulation of Robot Manipulators","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Emulation; Hardware-in-the-loop simulation; Robot; Control engineering; Robot manipulator; Mechanism (biology); Computer science; Manipulator (device); Nonlinear system; Simulation; Control theory (sociology); Engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004369064,0.0001842717,0.000255758,0.0002900671,0.00005266875,0.00003711351,0.0001639111,0.0003412132,0.00005807885],"category_scores_gemma":[0.00001633853,0.0001778047,0.0001007908,0.0006235975,0.00002070587,0.0002100462,3.931632e-7,0.0009645709,0.00001531925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003098381,"about_ca_system_score_gemma":0.0001250307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001307297,"about_ca_topic_score_gemma":0.0023252,"domain_scores_codex":[0.9985133,0.00008634652,0.000572746,0.000182665,0.0003370033,0.0003078853],"domain_scores_gemma":[0.9993338,0.0002066461,0.00007808587,0.000290418,0.00005188082,0.00003917958],"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":[0.0000697584,0.00006465335,0.0000752522,0.000008142609,0.00001780069,9.780066e-7,0.0001555467,0.9796854,0.006386165,0.000076646,0.000005062037,0.01345464],"study_design_scores_gemma":[0.001882838,0.00008200832,0.0005296836,0.00002683933,0.00002168008,0.000002517999,0.00004375693,0.9944103,0.002327891,0.00008507021,0.0004215082,0.0001659574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8451561,0.00004979693,0.1519711,0.00006896211,0.001218748,0.0007910299,0.000009057513,0.000118785,0.0006163562],"genre_scores_gemma":[0.9997483,0.00001363736,0.00002331022,0.0000106736,0.00005688552,0.00003740946,0.000006865283,0.00003072777,0.00007211883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1545922,"threshold_uncertainty_score":0.7250664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0178108960859711,"score_gpt":0.2496554055372615,"score_spread":0.2318445094512904,"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."}}