{"id":"W1955104206","doi":"10.1109/robot.1990.125983","title":"Robotic grinding force regulation: design, implementation and benefits","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Grinding; Pulverizer; Robot; Stiffness; Control theory (sociology); Controller (irrigation); PID controller; Computer science; Tracking (education); Robot end effector; Control engineering; Simulation; Engineering; Mechanical engineering; Artificial intelligence; Control (management); Structural engineering","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":[0.00005609524,0.00007474762,0.00006365588,0.00004492303,0.00004510509,0.00003260554,0.00003962249,0.00002948916,0.0001517439],"category_scores_gemma":[0.000004703949,0.00007916823,0.000009333122,0.00007462547,0.000007463538,0.0003210299,0.0000146674,0.00004316363,0.000008987038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004227067,"about_ca_system_score_gemma":5.972049e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004792741,"about_ca_topic_score_gemma":0.00001303272,"domain_scores_codex":[0.9996059,0.000007254366,0.0001048688,0.00008436261,0.00006415239,0.0001334579],"domain_scores_gemma":[0.9998208,0.00003414235,0.00001276185,0.00008828995,0.00001150359,0.00003246613],"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":[0.000001201273,0.000004814498,0.001784831,0.00003550958,0.00001853855,0.000001099195,0.0004698363,0.9084898,0.008216334,0.01300092,0.005624349,0.0623528],"study_design_scores_gemma":[0.0005398476,0.00007167157,0.01652434,0.00005444764,0.00002566054,0.00002699005,0.0003276962,0.7652736,0.2040428,0.01171816,0.0007886511,0.0006061766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03391491,0.000368885,0.9609305,0.00008618335,0.00006293607,0.0001923144,9.345784e-7,0.001056481,0.003386886],"genre_scores_gemma":[0.8403503,0.00008287917,0.1592852,0.00001847967,0.00001854911,0.00001105936,0.000002224061,0.00001795941,0.0002134101],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8064353,"threshold_uncertainty_score":0.3228387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04606424215616253,"score_gpt":0.2602853472002833,"score_spread":0.2142211050441208,"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."}}