{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000115991,0.00009569019,0.0001419533,0.00002799696,0.00002099268,0.00002534247,0.00006028308,0.0000557983,0.00001890154],"category_scores_gemma":[0.00001330499,0.00007515569,0.00004404556,0.00006870387,0.00000338601,0.00003259349,0.00000282952,0.00006885291,0.000434054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009420341,"about_ca_system_score_gemma":0.000005424472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003750365,"about_ca_topic_score_gemma":0.00001325825,"domain_scores_codex":[0.9995191,0.00001203638,0.0001190834,0.00009444456,0.000106189,0.0001491967],"domain_scores_gemma":[0.9997374,0.0000435369,0.00001048608,0.0001358326,0.00001677204,0.00005595103],"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":[0.0000206274,0.00001453873,0.00001411172,0.00002784589,0.00003369682,0.000002848082,0.000005108165,0.946869,0.01916784,0.02671209,0.00004969227,0.007082643],"study_design_scores_gemma":[0.007063259,0.0009472534,0.0008895378,0.0001230492,0.00004087956,0.000009354653,0.00001157546,0.9684662,0.01775316,0.001944126,0.002314595,0.0004370223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06989793,0.0001109306,0.9013938,0.0003946844,0.0007041163,0.0004612819,0.000002604879,0.0008061577,0.02622852],"genre_scores_gemma":[0.9992297,0.000001738997,0.0001412783,0.0001508982,0.000098772,0.00002477868,0.000001930636,0.00001794467,0.0003329082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9293318,"threshold_uncertainty_score":0.5579031,"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."}}