{"id":"W2128647614","doi":"10.1109/robot.2007.364012","title":"Bilateral Delayed Teleoperation: The Effects of a Passivated Channel Model and Force Sensing","year":2007,"lang":"en","type":"article","venue":"Proceedings - IEEE International Conference on Robotics and Automation/Proceedings","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Teleoperation; Passivity; Channel (broadcasting); Haptic technology; Admittance; Computer science; Telerobotics; Simulation; Control theory (sociology); Engineering; Robot; Electrical impedance; Control (management); Telecommunications; Mobile robot; Artificial intelligence; Electrical 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":[0.0003273011,0.0002592519,0.0002429614,0.00023051,0.0001836737,0.000412745,0.0001641796,0.0001301563,0.000005849601],"category_scores_gemma":[0.00008421164,0.0002086656,0.00004110271,0.0001906125,0.00008965274,0.000465018,0.00003501457,0.0002005701,0.00000306319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005839692,"about_ca_system_score_gemma":0.00001942581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008743904,"about_ca_topic_score_gemma":0.000004536881,"domain_scores_codex":[0.9985729,0.000001827641,0.0005123729,0.0002840501,0.000380087,0.0002487734],"domain_scores_gemma":[0.9988533,0.00005964839,0.0001643259,0.00004677195,0.0007725082,0.0001034105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001218181,0.00009250669,0.001187956,0.001025989,0.0003921419,0.000004599814,0.01258946,0.02654359,0.4852193,0.4645337,0.002028422,0.006260521],"study_design_scores_gemma":[0.0004977306,0.00009465723,0.00144284,0.0002736863,0.00002897908,0.00004985193,0.0006446236,0.9774557,0.01760148,0.001641916,0.00002882864,0.0002397535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775745,0.00004055133,0.01294899,0.000982145,0.000523878,0.0004289275,0.000006245302,0.0002643924,0.00723042],"genre_scores_gemma":[0.9970908,0.00009867863,0.00212496,0.0002029044,0.0001765829,0.00001433838,0.000006381032,0.00003130094,0.000254123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9509121,"threshold_uncertainty_score":0.8509136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01982639600257649,"score_gpt":0.2449917723468721,"score_spread":0.2251653763442956,"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."}}