{"id":"W2155230991","doi":"10.1109/robot.1990.125949","title":"An adaptive compliant motion controller for robot manipulators based on damping control","year":2002,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Teleoperation; Adaptive control; Robot; Rendering (computer graphics); Computer science; Control engineering; Controller (irrigation); Stiffness; Engineering; Artificial intelligence; Control (management)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001173115,0.000163038,0.0002033708,0.0001146673,0.000111727,0.00005030615,0.00007765855,0.00007237699,0.0005199694],"category_scores_gemma":[0.00001861733,0.0001544515,0.00008178975,0.00007806345,0.00001031156,0.00013868,0.000002022509,0.0001172487,0.00009712193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006584519,"about_ca_system_score_gemma":0.000001676018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007277463,"about_ca_topic_score_gemma":0.000006094444,"domain_scores_codex":[0.9991983,0.0000376608,0.0002112401,0.0001869649,0.0001291409,0.0002367048],"domain_scores_gemma":[0.9995701,0.0001078767,0.00003398826,0.000153684,0.00004246515,0.00009189126],"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":[0.00003916273,0.00003338775,0.0003438046,0.000009331599,0.00002024307,7.58097e-7,0.00004092021,0.9929845,0.0006789629,0.002318101,0.0003741803,0.003156603],"study_design_scores_gemma":[0.002411383,0.000168044,0.006136701,0.00001825322,0.00001537598,6.760423e-7,0.00004710333,0.9905009,0.0001093558,0.00002957011,0.0003692514,0.0001934408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001641831,0.0000219561,0.9907092,0.0001164588,0.0001814547,0.00047558,0.000001593253,0.000496236,0.006355635],"genre_scores_gemma":[0.995747,7.789872e-7,0.003381001,0.0004782945,0.0001129002,0.00004539201,0.00001342642,0.00004431939,0.0001769416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9941051,"threshold_uncertainty_score":0.6298348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05127271860397462,"score_gpt":0.2404905562285373,"score_spread":0.1892178376245627,"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."}}