{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001428256,0.0002585487,0.0001293494,0.0001235257,0.0001576164,0.0002604093,0.0004087201,0.0002445716,0.0009623496],"category_scores_gemma":[0.0004429135,0.00007802609,0.0001408903,0.00008927294,0.0003167723,0.0002700882,0.0003534602,0.0003073417,0.0001106352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001326978,"about_ca_system_score_gemma":0.0001299552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006585917,"about_ca_topic_score_gemma":0.0007851982,"domain_scores_codex":[0.9998791,0.00002209662,0.000005623957,0.00002119647,0.0000617703,0.00001019486],"domain_scores_gemma":[0.9998881,0.00005436343,0.00002038908,0.00001242724,0.00001819879,0.000006550047],"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":[0.0004028502,0.0001090654,0.0005926467,0.0003579944,0.00005233596,0.0003265917,0.0003948678,0.2408285,0.3152816,0.01737342,0.001944915,0.4223351],"study_design_scores_gemma":[0.00005504935,0.0003674858,0.0009521491,0.0000179143,0.00001930195,0.0001280458,0.00004160232,0.9627709,0.02451977,0.004811496,0.006295044,0.00002136908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03560108,0.0005515152,0.9612221,0.00009041088,0.00007631133,0.00002572494,0.00000758071,0.000312299,0.002113001],"genre_scores_gemma":[0.941727,0.0002988287,0.05414676,0.0000598162,0.00006539894,0.00005175925,0.00001490565,0.00002592012,0.003609621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009623496,"threshold_uncertainty_score":0.003219366,"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."}}