{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003447224,0.0002409562,0.0004630116,0.00009683149,0.0001614121,0.000361081,0.00008678967,0.0001525514,0.000001119612],"category_scores_gemma":[0.00001609326,0.0002151274,0.00005611363,0.0000778035,0.0000153977,0.0001310956,0.000004826604,0.0000817652,0.00001363137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009988817,"about_ca_system_score_gemma":0.00003436912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003384859,"about_ca_topic_score_gemma":0.000002634901,"domain_scores_codex":[0.9987575,0.00006022491,0.0005069908,0.0002375897,0.000134501,0.0003032144],"domain_scores_gemma":[0.9994235,0.0001005752,0.00006798714,0.0001622051,0.000123721,0.0001220249],"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":[0.00001634212,0.00001622654,0.000003676003,0.00006148285,0.00005168316,0.000001501625,0.0002524877,0.9338699,0.001324692,0.06276789,0.0008209975,0.0008131485],"study_design_scores_gemma":[0.001037188,0.0002332602,0.00004828633,0.0000723816,0.00003161637,0.00003472904,0.0002786368,0.9960982,0.00005353288,0.00005750266,0.001781525,0.0002731472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001996414,0.003352056,0.9888908,0.00007679877,0.001248186,0.002141044,0.00002145435,0.000408501,0.001864795],"genre_scores_gemma":[0.9965121,0.00004038101,0.00186737,0.00003602428,0.0004050214,0.0001864292,0.00001125869,0.00003426622,0.0009071369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9945157,"threshold_uncertainty_score":0.8772642,"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."}}