{"id":"W2153517500","doi":"10.1109/cca.2005.1507306","title":"Adaptive teleoperation using neural network-based predictive control","year":2005,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Teleoperation; Haptic technology; Telerobotics; Computer science; Contact force; Pantograph; Artificial neural network; Interface (matter); Simulation; Robot; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003085942,0.0004191402,0.000298295,0.0002070744,0.0002286989,0.0004642413,0.0006333756,0.0004562378,0.0007623262],"category_scores_gemma":[0.001015138,0.0002004786,0.0001720165,0.000234974,0.0003663654,0.0004675909,0.0003718749,0.0006793069,0.0001281225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004407688,"about_ca_system_score_gemma":0.0004110889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007440786,"about_ca_topic_score_gemma":0.007270528,"domain_scores_codex":[0.999818,0.00002913851,0.000008281208,0.00004248739,0.00008197239,0.00002019455],"domain_scores_gemma":[0.9997081,0.0001448053,0.00003981329,0.00002735088,0.00007102816,0.000008824508],"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":[0.0001202372,0.00006790725,0.0004138898,0.00004645832,0.00002605758,0.00008240383,0.00005900717,0.862482,0.01024048,0.002904231,0.0006945484,0.1228627],"study_design_scores_gemma":[0.000006331248,0.00001563501,0.00007023787,0.000001310876,0.000002385496,0.000005983306,0.000001680995,0.9985616,0.0007836964,0.0004181133,0.0001313261,0.000001811328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04971832,0.0003950483,0.9446458,0.0001783865,0.00007531113,0.00004715934,0.00002257701,0.001085497,0.003831977],"genre_scores_gemma":[0.9521807,0.0002198967,0.04516405,0.00004453392,0.0000349205,0.00008054814,0.00002811319,0.00001816066,0.002229126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007440786,"threshold_uncertainty_score":0.01479495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146247618326248,"score_gpt":0.20904646376161,"score_spread":0.1944217019289852,"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."}}