{"id":"W2000839790","doi":"10.1017/s0263574711000075","title":"Trajectory tracking compensation for teleoperation with transmission delays","year":2011,"lang":"en","type":"article","venue":"Robotica","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Teleoperation; Control theory (sociology); Passivity; Trajectory; Computer science; Master/slave; Compensation (psychology); Rendering (computer graphics); Tracking (education); Simulation; Robot; Engineering; Computer vision; Artificial intelligence; Control (management)","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":[0.000203114,0.0002979536,0.0001999418,0.0002082708,0.0002093225,0.0002583473,0.0002814871,0.0003173293,0.001438531],"category_scores_gemma":[0.0007758189,0.00009566856,0.0001771226,0.0001948434,0.0001977731,0.0004054137,0.0002450849,0.000405458,0.0002101907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002908932,"about_ca_system_score_gemma":0.0003503345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001420603,"about_ca_topic_score_gemma":0.001008015,"domain_scores_codex":[0.9998447,0.00002286722,0.000009474443,0.00002657315,0.0000749469,0.00002150595],"domain_scores_gemma":[0.9997019,0.0001070753,0.00006305888,0.0000338638,0.00008327511,0.00001076659],"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":[0.0007746352,0.00008665145,0.001312102,0.0002718927,0.00005185933,0.0002924102,0.0002844302,0.2867528,0.4162062,0.01852594,0.001343884,0.2740972],"study_design_scores_gemma":[0.00006191534,0.0004204802,0.001532448,0.00002041946,0.00002761862,0.0002229094,0.00004087705,0.880883,0.1096601,0.002598263,0.004502028,0.00002982884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0893941,0.0002260599,0.907472,0.0001243961,0.00008301959,0.00003596283,0.00002268798,0.0003981939,0.002243612],"genre_scores_gemma":[0.9511041,0.000158627,0.04481552,0.0000287304,0.00002879678,0.00003737079,0.00002799658,0.00002112048,0.003777689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001438531,"threshold_uncertainty_score":0.00481236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03993360947564707,"score_gpt":0.209673221541038,"score_spread":0.169739612065391,"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."}}