{"id":"W1596008776","doi":"10.1109/mwscas.1993.343027","title":"An adaptive control scheme for robot manipulators with flexible joints","year":2002,"lang":"en","type":"article","venue":"","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Lakehead University","funders":"","keywords":"Scheme (mathematics); Flexibility (engineering); Robot; Control theory (sociology); Adaptive control; Acceleration; Computer science; Robot manipulator; Control engineering; Serial manipulator; Robot control; Joint (building); Robot kinematics; Control (management); Artificial intelligence; Mobile robot; Engineering; Mathematics; Parallel manipulator","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":[0.00007854572,0.0001398268,0.0002158888,0.00003285418,0.00003825779,0.0000405039,0.0001148913,0.00006560535,0.0001314826],"category_scores_gemma":[0.000003239829,0.0001072278,0.00005405807,0.00005922772,0.000007410523,0.0001216933,0.000003804502,0.00006491205,0.00005050481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000454871,"about_ca_system_score_gemma":0.000002726957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001895353,"about_ca_topic_score_gemma":0.00003885405,"domain_scores_codex":[0.9992994,0.000007842327,0.0001619851,0.0001564955,0.0001168569,0.0002574213],"domain_scores_gemma":[0.9996036,0.00002481207,0.00002083938,0.0001877369,0.00003930366,0.000123759],"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":[0.000533667,0.0004484112,0.001168383,0.0001931252,0.001284136,0.00002604739,0.0001856002,0.4983114,0.06111643,0.4044488,0.004345428,0.02793855],"study_design_scores_gemma":[0.001573844,0.0003708189,0.0001200103,0.00001461398,0.00001721899,0.000003470712,0.00003303226,0.9960763,0.0003306214,0.0002747345,0.001001084,0.0001841873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01553276,0.000130509,0.9732306,0.00008065703,0.0001865362,0.0005631944,0.00001277861,0.0004928344,0.009770161],"genre_scores_gemma":[0.9927374,0.00000246862,0.006153198,0.00009114527,0.00009970368,0.00008184834,0.000002374136,0.0000403332,0.0007915649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9772046,"threshold_uncertainty_score":0.4372623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834055452745313,"score_gpt":0.1989817940656473,"score_spread":0.1806412395381942,"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."}}