{"id":"W4385260073","doi":"10.1016/j.mechatronics.2023.103032","title":"Event-triggered path tracking control with obstacle avoidance for underactuated surface vessel compliant with COLREGs-constraints: Theory and experiments","year":2023,"lang":"en","type":"article","venue":"Mechatronics","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Underactuation; Control theory (sociology); Obstacle avoidance; Trajectory; Collision avoidance; Computer science; Collision; Controller (irrigation); Artificial neural network; Parametric statistics; Engineering; Control engineering; Artificial intelligence; Control (management); Mobile robot; Robot; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005406156,0.0003222759,0.0004511954,0.0000623356,0.0001544602,0.00008587397,0.0001567093,0.00009589481,0.00001202907],"category_scores_gemma":[0.00004193362,0.0002658245,0.00005148048,0.0002064123,0.00009924961,0.0002127202,0.00001773174,0.0001954115,0.00002753505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001648253,"about_ca_system_score_gemma":0.00008468211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004935462,"about_ca_topic_score_gemma":0.0000182654,"domain_scores_codex":[0.9984561,0.00009004785,0.0003020432,0.0003442679,0.0002476484,0.0005598869],"domain_scores_gemma":[0.9988806,0.0004848702,0.0001092146,0.0002747779,0.0001297188,0.0001208639],"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":[0.004992119,0.0003480583,0.001614427,0.001156732,0.003550433,0.0002500581,0.005216059,0.7185726,0.2008825,0.04639836,0.002305701,0.01471301],"study_design_scores_gemma":[0.01654988,0.0008786367,0.0007723453,0.0007257304,0.0001993866,0.00005494634,0.00638296,0.957908,0.01021888,0.001074952,0.004047191,0.00118703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4406164,0.001753271,0.555048,0.00009368773,0.0001940864,0.00139971,0.0002351872,0.0005887315,0.00007085222],"genre_scores_gemma":[0.9969166,0.00003630177,0.002523812,0.00004752348,0.00005520625,0.0001147366,0.00005444013,0.000118187,0.0001332047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5563002,"threshold_uncertainty_score":0.9999794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821792137658787,"score_gpt":0.2482041969805737,"score_spread":0.2299862756039858,"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."}}