{"id":"W2124329589","doi":"10.1109/tsmca.2011.2170066","title":"Adaptive Haptic Control for Telerobotics Transitioning Between Free, Soft, and Hard Environments","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Teleoperation; Haptic technology; Backstepping; Control theory (sociology); Collision; Telerobotics; Computer science; Controller (irrigation); Master/slave; Simulation; Lyapunov function; Stability (learning theory); Adaptive control; Stiffness; Control engineering; Robot; Control (management); Engineering; Mobile robot; Artificial intelligence; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002602017,0.0003583405,0.00058343,0.000148466,0.000374102,0.0002064212,0.00009747014,0.0002086425,0.00001269203],"category_scores_gemma":[0.000001716363,0.0003531752,0.0000761292,0.00005095027,0.0001320336,0.0001455228,0.000001639072,0.0001878956,0.00001102086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004492887,"about_ca_system_score_gemma":0.000009786928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001747662,"about_ca_topic_score_gemma":0.00009316138,"domain_scores_codex":[0.9983552,0.00007893581,0.0006213304,0.0003877045,0.0002086043,0.000348213],"domain_scores_gemma":[0.9992373,0.0001088687,0.00008781329,0.0002849175,0.00003646029,0.0002446676],"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":[0.00163824,0.002462215,0.01400183,0.02190089,0.0205182,0.0001859052,0.2068085,0.5110715,0.02384593,0.1394632,0.01154331,0.04656036],"study_design_scores_gemma":[0.01896639,0.003634035,0.01192719,0.003285125,0.002564116,0.0003870221,0.01794226,0.889423,0.0009527336,0.0003628715,0.04640014,0.004155079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06372793,0.001774234,0.9302742,0.00001536934,0.001118487,0.001590143,0.0003991318,0.0001860595,0.000914367],"genre_scores_gemma":[0.9975149,0.0002167285,0.0002255731,0.00001929462,0.0002282545,0.0003271205,0.000006859401,0.00007124071,0.001390026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.933787,"threshold_uncertainty_score":0.999892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03916634788685462,"score_gpt":0.2043360086753436,"score_spread":0.165169660788489,"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."}}