{"id":"W2082903025","doi":"10.1016/j.robot.2009.11.006","title":"A modified adaptive controller design for teleoperation systems","year":2009,"lang":"en","type":"article","venue":"Robotics and Autonomous Systems","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Teleoperation; Computer science; Passivity; Controller (irrigation); Control theory (sociology); Feed forward; Stability (learning theory); Adaptive control; Range (aeronautics); Control engineering; Robot; Control (management); Artificial intelligence; 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":[0.0002720161,0.0005737826,0.0004636883,0.0002318329,0.0002767631,0.0005157826,0.0009441066,0.0007279412,0.003045927],"category_scores_gemma":[0.0006050573,0.0002328098,0.0003629478,0.0001552529,0.0002570194,0.0004495127,0.0003985209,0.0005897406,0.0006454103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002278712,"about_ca_system_score_gemma":0.0002618935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001393308,"about_ca_topic_score_gemma":0.0013885,"domain_scores_codex":[0.9997213,0.00004850453,0.00001881023,0.0000607467,0.0001317634,0.00001878743],"domain_scores_gemma":[0.9997877,0.0000419531,0.00001948845,0.00002533405,0.0001174552,0.000008026652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006516269,0.000112163,0.0003933146,0.0005418186,0.0001570174,0.0003383424,0.0002323974,0.3293554,0.2155343,0.02237245,0.003317279,0.426994],"study_design_scores_gemma":[0.00005894484,0.0002865473,0.0003506953,0.00001351569,0.00003841914,0.00009790529,0.000009711082,0.9815952,0.01058924,0.001390974,0.005549763,0.00001909191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006467973,0.0001896827,0.9907668,0.00004831181,0.0001300437,0.00003724005,0.000009222159,0.0002261893,0.002124609],"genre_scores_gemma":[0.7882267,0.0003197019,0.2005783,0.0001767064,0.0001666149,0.0002634917,0.00006448982,0.0001010051,0.01010305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003045927,"threshold_uncertainty_score":0.01018959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02944355545092125,"score_gpt":0.2198845754054677,"score_spread":0.1904410199545464,"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."}}