{"id":"W2144087722","doi":"10.1109/acc.2006.1657219","title":"Adaptive force control of robots in presence of uncertainty in environment","year":2006,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Torque; Robot; Estimator; Contact force; Control engineering; Stiffness; Computer science; Motion control; Haptic technology; Adaptive control; Engineering; Control (management); Simulation; Mathematics; Artificial intelligence; Physics; Classical mechanics","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":[0.0002636932,0.0003030633,0.0002268888,0.0001983445,0.0002008637,0.0002454619,0.0003767702,0.0003455306,0.0003649738],"category_scores_gemma":[0.001183409,0.0001151001,0.0001259255,0.0001489765,0.0004578391,0.000393827,0.0003914209,0.00021343,0.00007009681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001503717,"about_ca_system_score_gemma":0.0001705313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001559083,"about_ca_topic_score_gemma":0.001342376,"domain_scores_codex":[0.9998443,0.0000263839,0.000007038174,0.00002922042,0.00006887285,0.00002416261],"domain_scores_gemma":[0.999683,0.0001610402,0.00006283509,0.00002924116,0.00005267385,0.00001128793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001529556,0.00005075808,0.0009316091,0.00008368385,0.0000329524,0.0003315087,0.0001701217,0.7548738,0.08565395,0.00712261,0.0004596298,0.1501364],"study_design_scores_gemma":[0.00001432893,0.0001005241,0.0008029836,0.00000502225,0.000005490477,0.00006038117,0.00001847439,0.9887015,0.006757459,0.002844526,0.0006816335,0.000007670194],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.163417,0.0003438371,0.8339783,0.0001266349,0.0000337164,0.00001867926,0.00001295323,0.0004239835,0.001644877],"genre_scores_gemma":[0.9825859,0.00009866892,0.01658862,0.00001568151,0.00001963502,0.00001929666,0.00001194923,0.000007629631,0.0006525835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001559083,"threshold_uncertainty_score":0.003099978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009861926732656734,"score_gpt":0.1918329254444387,"score_spread":0.1819709987117819,"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."}}