{"id":"W1546758991","doi":"10.1109/iros.1994.407642","title":"Approaches to robust force control of manipulators","year":2002,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Robot manipulator; Computer science; Motion control; Control theory (sociology); Task (project management); Robust control; Robot; Motion (physics); Control (management); Robotics; Artificial intelligence; Variable (mathematics); Control engineering; Control system; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001110804,0.001441192,0.001017966,0.0008840528,0.0003857794,0.001366876,0.001592117,0.001393296,0.003429643],"category_scores_gemma":[0.002020586,0.0004198598,0.0009734004,0.0006066623,0.001436039,0.00118408,0.001331708,0.001450148,0.0009619773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009017594,"about_ca_system_score_gemma":0.0005883771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001717793,"about_ca_topic_score_gemma":0.00102023,"domain_scores_codex":[0.9990871,0.0002069888,0.00004053341,0.0002325804,0.0003649545,0.00006792109],"domain_scores_gemma":[0.9994568,0.0002596808,0.00009064799,0.00006380116,0.000106903,0.0000222149],"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":[0.00005142346,0.00003647631,0.000100806,0.0003160851,0.0001112949,0.0001440302,0.0001631758,0.5441635,0.006647519,0.3631201,0.001986974,0.08315855],"study_design_scores_gemma":[0.00003301464,0.0001224506,0.00008781984,0.0000329153,0.00002013339,0.00005345015,0.00002562718,0.838266,0.001564954,0.1485137,0.01125142,0.00002850331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001511249,0.001192519,0.9927249,0.0001274235,0.00005647459,0.00001559784,0.00001422302,0.0001329454,0.004224636],"genre_scores_gemma":[0.5787629,0.006347551,0.3933207,0.0003714352,0.001167228,0.0004723001,0.0002786799,0.000259357,0.01901978],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003429643,"threshold_uncertainty_score":0.0114733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1585346161274644,"score_gpt":0.1936626732179676,"score_spread":0.03512805709050312,"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."}}