{"id":"W1986012074","doi":"10.1109/toh.2011.49","title":"Stable and Intuitive Control of an Intelligent Assist Device","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Haptics","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robot; Admittance; Control theory (sociology); Observer (physics); Stability (learning theory); Control engineering; Human–robot interaction; Controller (irrigation); Engineering; Robot end effector; Computer science; Robot control; Control (management); Simulation; Artificial intelligence; Mobile robot","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004033189,0.0004226682,0.000182863,0.0002118256,0.0002427764,0.0005519692,0.000551185,0.0003506684,0.001464116],"category_scores_gemma":[0.001029358,0.0001526313,0.0001962126,0.00008252281,0.0005374277,0.0004112557,0.0005811404,0.0002988091,0.0002524761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001557502,"about_ca_system_score_gemma":0.0002876606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007317634,"about_ca_topic_score_gemma":0.0007242386,"domain_scores_codex":[0.9997552,0.00004298798,0.00001672067,0.00005165124,0.0001093462,0.00002419227],"domain_scores_gemma":[0.9996299,0.000132942,0.00006849844,0.00005590216,0.0000897374,0.00002308092],"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":[0.0005683315,0.0001601195,0.001126513,0.000445993,0.00004167073,0.001067224,0.00152004,0.07780764,0.7511492,0.02042067,0.001751205,0.1439414],"study_design_scores_gemma":[0.0002873833,0.002209215,0.005083527,0.00008081974,0.00007203079,0.0006118373,0.0002497523,0.8504382,0.1156538,0.007717181,0.01750891,0.00008725081],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08782722,0.0001106196,0.9066833,0.0001280825,0.00006310188,0.0001095873,0.00002472897,0.0008298649,0.004223449],"genre_scores_gemma":[0.9345239,0.00007582915,0.06192371,0.000063327,0.00002045653,0.0001340029,0.00002972198,0.00002430742,0.003204777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001464116,"threshold_uncertainty_score":0.004898012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02998021323848068,"score_gpt":0.2529824877275511,"score_spread":0.2230022744890704,"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."}}