{"id":"W2167936781","doi":"10.1109/icma.2005.1626879","title":"Adaptive robust control for bilateral teleoperators in soft environments","year":2006,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Teleoperation; Fidelity; Telerobotics; Constraint (computer-aided design); Control theory (sociology); Stability (learning theory); Control engineering; Engineering; High fidelity; Computer science; Simulation; Control (management); Robot; Artificial intelligence; Mobile robot","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":[0.00006224586,0.00009499773,0.0001270357,0.00004137053,0.00002572968,0.00002580272,0.00004575727,0.00005379855,0.0002072579],"category_scores_gemma":[0.00000240553,0.00008640879,0.00003025855,0.00003345948,0.00001034056,0.00007682468,0.000003002195,0.00003977877,0.0001002427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004668269,"about_ca_system_score_gemma":0.000004534001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001407284,"about_ca_topic_score_gemma":0.0004959185,"domain_scores_codex":[0.9994786,0.000008008396,0.0001759787,0.0001062738,0.00006200359,0.0001691419],"domain_scores_gemma":[0.9998613,0.00002199462,0.000008448612,0.00007551884,0.000004955653,0.00002775587],"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":[0.00001791834,0.0000452332,0.01207151,0.00001382452,0.00002646362,0.000003840807,0.0002053261,0.9717664,0.007324381,0.001678837,0.004873606,0.001972651],"study_design_scores_gemma":[0.002316484,0.00004438954,0.01864303,0.00001117144,0.00000644287,0.00000318816,0.0001482666,0.9639747,0.001207339,0.00006484313,0.01333561,0.0002445604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2464697,0.0002138656,0.7422012,0.00008013911,0.0004340072,0.0009479804,0.00002425584,0.0002586085,0.009370249],"genre_scores_gemma":[0.9970031,0.000001818187,0.001339621,0.00006287674,0.00009966455,0.00005984678,0.000008558435,0.00001908191,0.001405455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7505334,"threshold_uncertainty_score":0.3523648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00841492254511433,"score_gpt":0.1732375146955863,"score_spread":0.1648225921504719,"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."}}