{"id":"W2168936935","doi":"10.1109/pacrim.1993.407286","title":"Model reference impedance control of robotic manipulators","year":2002,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Impedance control; Actuator; Torque; Control engineering; Electrical impedance; Computer science; Bandwidth (computing); Controller (irrigation); Robot; Engineering; Control (management); Artificial intelligence; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00003471362,0.0000768019,0.0001231728,0.00004498185,0.00001458264,0.000007758054,0.00007232295,0.00004136034,0.0005557246],"category_scores_gemma":[0.00001288099,0.00007348241,0.00002469194,0.00009785378,0.000009995634,0.00008327681,0.000005412669,0.00009118925,0.0001092922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001503489,"about_ca_system_score_gemma":0.000001719664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004685491,"about_ca_topic_score_gemma":0.000003640408,"domain_scores_codex":[0.9995362,0.000007778884,0.0001652441,0.00007685825,0.00008991022,0.0001239641],"domain_scores_gemma":[0.9997617,0.00001827233,0.00002102112,0.0001343031,0.00002659156,0.00003813599],"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":[6.52981e-7,0.00000453162,0.000704392,0.00001630531,0.00000780613,3.678716e-7,0.00007661088,0.9908913,0.001485857,0.005857462,0.0002771349,0.0006776141],"study_design_scores_gemma":[0.0001894814,0.000006727207,0.001443782,0.000007823042,0.000005897974,0.00000113894,0.00001122581,0.997921,0.0001613793,0.00006614952,0.000100463,0.00008485386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03901449,0.0002523667,0.9089583,0.00003354912,0.00007817137,0.00007830432,2.098396e-7,0.0002964103,0.0512882],"genre_scores_gemma":[0.9967994,0.00002316994,0.001670772,0.00003699809,0.00001284199,0.00000263617,8.056585e-7,0.00001568623,0.001437707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9577849,"threshold_uncertainty_score":0.6084795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05855681185818591,"score_gpt":0.2254357902722381,"score_spread":0.1668789784140522,"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."}}