{"id":"W2933349796","doi":"10.1109/tie.2019.2907448","title":"Input-to-State Stable Bilateral Teleoperation by Dynamic Interconnection and Damping Injection: Theory and Experiments","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Teleoperation; Control theory (sociology); Interconnection; Robot; Telerobotics; Controller (irrigation); Computer science; Master/slave; Position (finance); Stability (learning theory); Dynamic positioning; Haptic technology; Exponential stability; Feedback loop; Set (abstract data type); Control engineering; Simulation; Engineering; Mobile robot; Artificial intelligence; Control (management); Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002532097,0.0001974695,0.0001931208,0.0001881352,0.0001524887,0.0001587733,0.0000516315,0.0001615812,0.00009713885],"category_scores_gemma":[0.00000467795,0.0002058701,0.00002814849,0.000214073,0.00001730263,0.0003229439,0.000001365234,0.0003887993,0.0000349831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000281995,"about_ca_system_score_gemma":0.00003977325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004286224,"about_ca_topic_score_gemma":0.0001066873,"domain_scores_codex":[0.9989601,0.00008910397,0.0002777648,0.0002700452,0.000127081,0.0002758448],"domain_scores_gemma":[0.9996412,0.00005862043,0.00002696655,0.0001460277,0.00002991216,0.00009720818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008232992,0.0001617135,0.0001772654,0.00007422279,0.0004089807,0.000001673389,0.005037246,0.2815394,0.5745336,0.000580873,0.0007622383,0.1358996],"study_design_scores_gemma":[0.008395766,0.003783141,0.000121655,0.0003364916,0.0001273565,0.0002061099,0.002000709,0.3297185,0.6345477,0.0002531994,0.01862215,0.001887334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8494022,0.0001659842,0.1482136,0.00004780143,0.00128139,0.0005134657,0.00001745759,0.0001980583,0.0001600156],"genre_scores_gemma":[0.9985494,0.0001263489,0.0000436737,0.00007015996,0.0000487221,0.00006493902,0.000008096699,0.00003828674,0.001050395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1491471,"threshold_uncertainty_score":0.839514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011373134979983,"score_gpt":0.2251081950839922,"score_spread":0.2149944637341924,"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."}}