{"id":"W2106321774","doi":"10.1109/oceans.2008.5151915","title":"Development of a coordinated controller for underwater vehicle-manipulator systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Remotely operated underwater vehicle; Redundancy (engineering); Computer science; Control engineering; Controller (irrigation); Lyapunov function; Unmanned underwater vehicle; Underwater; Engineering; Mobile robot; Robot; Artificial intelligence; Nonlinear system; Control (management)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001343557,0.0001601077,0.0003943857,0.00007823671,0.00005689323,0.000008450994,0.0001089449,0.0000841021,0.00001230826],"category_scores_gemma":[0.00001374494,0.0001319815,0.00007104834,0.00007281952,0.00002410303,0.00006719481,0.00001370545,0.00004950161,0.00004136287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008828389,"about_ca_system_score_gemma":0.00003593538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001189611,"about_ca_topic_score_gemma":0.00001017087,"domain_scores_codex":[0.9989865,0.00001339285,0.0004910581,0.0001325302,0.0001373408,0.0002391825],"domain_scores_gemma":[0.9995342,0.00007114028,0.00005226081,0.0001217933,0.000153072,0.00006750341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000876807,0.0004430657,0.005480536,0.002430119,0.004577048,0.00005571747,0.005066073,0.2000287,0.7356293,0.01128767,0.02818246,0.005942467],"study_design_scores_gemma":[0.004311024,0.00006074705,0.001456095,0.00006950172,0.00002529024,0.00001987753,0.0002490665,0.9217879,0.01363724,0.000008878731,0.05799681,0.0003775231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3350736,0.000577582,0.6594557,0.00002089918,0.0005361026,0.001288033,0.00001627618,0.0004310806,0.002600791],"genre_scores_gemma":[0.9915425,0.000001920731,0.006696695,0.00001170046,0.00008750634,0.0001104285,0.000007469599,0.0000448625,0.001496983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7219921,"threshold_uncertainty_score":0.5382051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04090373159259672,"score_gpt":0.2255259289917525,"score_spread":0.1846221973991558,"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."}}