{"id":"W2045666956","doi":"10.1007/s10514-009-9163-6","title":"Experimental test of a robust formation controller for marine unmanned surface vessels","year":2009,"lang":"en","type":"article","venue":"Autonomous Robots","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Underactuation; Control theory (sociology); Computer science; Robustness (evolution); Kinematics; Actuator; Robust control; Nonholonomic system; Controller (irrigation); Nonlinear system; Robot; Mobile robot; Control (management); Artificial intelligence; Physics","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":[0.0003154387,0.000219002,0.0004169973,0.00007704712,0.0001096028,0.0001230799,0.0006957331,0.00008917928,0.000009613676],"category_scores_gemma":[0.00008275162,0.0002133301,0.0001443651,0.0002167219,0.00002452048,0.0007510411,0.00009572117,0.0000663747,0.00003061215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000152087,"about_ca_system_score_gemma":0.00006524484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003616272,"about_ca_topic_score_gemma":0.0000040094,"domain_scores_codex":[0.9983299,0.0000465976,0.0006315255,0.0003609679,0.0002321697,0.0003988272],"domain_scores_gemma":[0.998686,0.0001920442,0.000374175,0.0004783881,0.0001669364,0.0001025125],"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":[0.0002704854,0.002663325,0.0008100625,0.0001280219,0.000195074,0.00002279501,0.002464304,0.3143654,0.5671162,0.05417626,0.006585742,0.05120233],"study_design_scores_gemma":[0.004692191,0.0006920982,0.0032118,0.00003471091,0.00001785647,0.00001834359,0.00006220738,0.9006229,0.08897921,0.0004419842,0.0009069871,0.0003197071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02408609,0.0002059511,0.9711127,0.001097164,0.0003140495,0.001374289,0.00003634884,0.0002704964,0.001502971],"genre_scores_gemma":[0.9750928,0.000001607264,0.02418462,0.0001857919,0.00004985273,0.00005221091,0.00003898436,0.00001151241,0.0003825738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9510068,"threshold_uncertainty_score":0.8699349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02110663410960731,"score_gpt":0.2498163698041075,"score_spread":0.2287097356945002,"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."}}