{"id":"W1815110344","doi":"10.1109/romoco.2004.240736","title":"Sensor location effect on flexible robot control","year":2004,"lang":"en","type":"article","venue":"","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Control theory (sociology); Actuator; Trajectory; Computer science; Control engineering; Robot; Adaptive control; Phase (matter); Fuzzy control system; Response time; Control system; Fuzzy logic; Engineering; Control (management); Artificial intelligence; 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":[0.0002909168,0.0004866266,0.000309154,0.0001647792,0.0002833701,0.0003758887,0.0005079192,0.0006901642,0.001376972],"category_scores_gemma":[0.00271367,0.000261528,0.0003087805,0.000131512,0.0006695983,0.0006202091,0.0004832438,0.0003884596,0.0001546185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003372012,"about_ca_system_score_gemma":0.0003366817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001954059,"about_ca_topic_score_gemma":0.001303346,"domain_scores_codex":[0.9996556,0.00008741496,0.00001370562,0.00006358676,0.0001199875,0.0000596975],"domain_scores_gemma":[0.9983711,0.000852377,0.0002539546,0.0002137429,0.0002481003,0.00006069457],"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":[0.001033355,0.0001009976,0.002547854,0.0001898376,0.00004037789,0.0007678898,0.0001594245,0.8350194,0.1399568,0.00156886,0.0001751893,0.01844007],"study_design_scores_gemma":[0.0001548247,0.002419136,0.008423897,0.00002810191,0.0001044387,0.0005214034,0.0001823272,0.7796526,0.2056917,0.001350421,0.00141013,0.00006115927],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9275087,0.0002383553,0.06782079,0.0001223779,0.00007022017,0.00003429318,0.00004019861,0.0004787867,0.003686339],"genre_scores_gemma":[0.9974662,0.00002492039,0.002178284,0.00001216713,0.000001511587,0.000005386642,0.000007687348,0.000008266835,0.0002954969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001954059,"threshold_uncertainty_score":0.004606485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004029182399727923,"score_gpt":0.1913701470813281,"score_spread":0.1873409646816002,"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."}}