{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008940973,0.00009894899,0.0001132442,0.00004775309,0.00007624322,0.00002873641,0.00004820596,0.0000603271,0.0001206587],"category_scores_gemma":[0.000004623866,0.00008218292,0.00002924117,0.00006176773,0.00001207219,0.0001453149,0.000001127876,0.00005734251,0.00001875024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002757639,"about_ca_system_score_gemma":0.00001511856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007335339,"about_ca_topic_score_gemma":0.00003297445,"domain_scores_codex":[0.9994889,0.00001423385,0.0001670982,0.0001100144,0.00008683195,0.0001328721],"domain_scores_gemma":[0.9997586,0.00002496395,0.0000143734,0.00009376615,0.0000542111,0.00005407122],"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":[0.0002946054,0.0002582525,0.001721822,0.0007320578,0.0002670751,0.00001244758,0.02714395,0.6658793,0.1111758,0.03578041,0.001816067,0.1549181],"study_design_scores_gemma":[0.00154409,0.0003341192,0.0135394,0.0001369959,0.00007790736,0.00003758004,0.000466554,0.9435073,0.03484778,0.00008008737,0.004939902,0.0004882495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02770732,0.00005981802,0.9648687,0.00003996292,0.0001630672,0.0004007526,0.000001815391,0.0002992575,0.006459366],"genre_scores_gemma":[0.968569,0.000006428571,0.03116578,0.00003307586,0.00007331803,0.00004083314,0.00001490063,0.0000282663,0.00006837315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9408617,"threshold_uncertainty_score":0.3351322,"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."}}