{"id":"W2055857950","doi":"10.1109/ccece.2013.6567713","title":"Nonlinear model predictive control for omnidirectional robot motion planning and tracking","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Control theory (sociology); Robot; Omnidirectional antenna; Model predictive control; Motion planning; Nonlinear system; Computer science; Nonlinear model; Minification; Artificial intelligence; Control (management); 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":[0.00005604708,0.00009950418,0.0001251643,0.00005014924,0.00006099585,0.00003626275,0.00002742295,0.00006121455,0.000007459061],"category_scores_gemma":[0.00003054598,0.0000981116,0.00002450765,0.00003662277,0.000009008366,0.000449628,0.000003751839,0.00005624804,0.000003027127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000047021,"about_ca_system_score_gemma":0.000004654117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000566454,"about_ca_topic_score_gemma":0.000001450575,"domain_scores_codex":[0.9994941,0.000006753346,0.0001590723,0.0001267143,0.00006818884,0.0001451253],"domain_scores_gemma":[0.9997061,0.00007095445,0.00002594816,0.00005630737,0.00009656724,0.00004409245],"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":[0.000009262832,0.000004754866,0.0002214531,0.00001705786,0.00002667837,6.076986e-8,0.00006133888,0.9924573,0.004739386,0.0001601723,0.00006832552,0.002234157],"study_design_scores_gemma":[0.0008776732,0.00002190319,0.0005624399,0.00001626285,0.00001281058,0.000002826967,0.00004272506,0.9972847,0.0004608633,0.0005988582,0.00001943695,0.00009949092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003682093,0.0001522856,0.9939573,0.00003887555,0.0001195319,0.0006379187,0.00001499986,0.0003593804,0.001037664],"genre_scores_gemma":[0.9338345,0.000003240077,0.06559666,0.00002589439,0.0001349252,0.0002475108,0.0000148032,0.00002735762,0.0001151165],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9301524,"threshold_uncertainty_score":0.4000875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01104070535760302,"score_gpt":0.2201856590611854,"score_spread":0.2091449537035824,"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."}}