{"id":"W2107247468","doi":"10.1109/icsmc.1995.538160","title":"Control of redundant robots by dual-optimization","year":2002,"lang":"en","type":"article","venue":"","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Kinematics; Redundancy (engineering); Robot; Computer science; Degrees of freedom (physics and chemistry); Robot kinematics; Dual (grammatical number); Control theory (sociology); Flexibility (engineering); Inverse kinematics; Mechanism (biology); Task (project management); Control engineering; Robot control; Control (management); Mobile robot; Engineering; Artificial intelligence; Mathematics; Physics","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":[0.0005806283,0.000715333,0.0007188586,0.0004040988,0.000321473,0.0005429793,0.0006498273,0.0003801448,0.0009386462],"category_scores_gemma":[0.000448633,0.000355434,0.0003613919,0.0002423863,0.0006904901,0.0004178867,0.001140681,0.0004699351,0.0002550592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002891645,"about_ca_system_score_gemma":0.0004019289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007706801,"about_ca_topic_score_gemma":0.0005553286,"domain_scores_codex":[0.9997732,0.00005885058,0.00001170767,0.00003859441,0.00007630137,0.00004138334],"domain_scores_gemma":[0.9998254,0.00003651185,0.0000563892,0.00002216535,0.00003923375,0.00002035146],"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":[0.0002199701,0.00006901713,0.0002352528,0.0001141405,0.00004686587,0.0001136787,0.00007999579,0.8897603,0.02873679,0.02802751,0.0009728901,0.05162353],"study_design_scores_gemma":[0.00002327202,0.00005967269,0.00005272645,0.000003942599,0.000004299626,0.00001883544,0.000004096539,0.9949411,0.001371541,0.002751772,0.0007622135,0.000006534145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03868596,0.0002211453,0.9555694,0.00007762724,0.00004548784,0.0000295934,0.00001507665,0.0002201143,0.005135593],"genre_scores_gemma":[0.8523,0.0001573989,0.1432615,0.0000482019,0.00002582952,0.0001852101,0.0000435558,0.0000520474,0.003926183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009386462,"threshold_uncertainty_score":0.003140092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005283750044378919,"score_gpt":0.1570346195535331,"score_spread":0.1517508695091542,"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."}}