{"id":"W4285069906","doi":"10.20517/ir.2022.13","title":"Motion planning and tracking control of unmanned underwater vehicles: technologies, challenges and prospects","year":2022,"lang":"en","type":"article","venue":"Intelligence & Robotics","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Unmanned underwater vehicle; Motion planning; Underwater; Remotely operated underwater vehicle; Tracking (education); Trajectory; Motion control; Tracking system; Computer science; Engineering; Systems engineering; Robot; Mobile robot; Artificial intelligence","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":[0.0001940124,0.0001123959,0.0001788163,0.00009237086,0.0001060711,0.00002720523,0.0001855387,0.00005537958,0.000002474927],"category_scores_gemma":[0.000004385368,0.0001118985,0.00001929339,0.0000850053,0.00007269695,0.00008580391,0.0001164366,0.0002048391,9.465505e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004116015,"about_ca_system_score_gemma":0.000004849634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005840211,"about_ca_topic_score_gemma":0.000004148354,"domain_scores_codex":[0.9992696,0.0000376249,0.0002577481,0.0001440335,0.0001298106,0.0001611673],"domain_scores_gemma":[0.9996092,0.00006721017,0.00005632769,0.0002113769,0.00003155848,0.00002430981],"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":[0.00002202407,0.00006580236,0.004601986,0.0003691608,0.000104806,0.00001016888,0.009779185,0.6908339,0.01698569,0.008454577,0.000004943283,0.2687678],"study_design_scores_gemma":[0.0008053706,0.0006431571,0.004315182,0.0004193828,0.00009474009,0.0002103185,0.06676189,0.7388592,0.1514427,0.0324837,0.003006556,0.0009577291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.170502,0.07041955,0.7559789,0.001167708,0.0001445257,0.000602844,0.00001142641,0.0007953454,0.0003776223],"genre_scores_gemma":[0.9970657,0.00149198,0.00136531,0.00001120238,0.00000919207,0.00002494928,0.000001989347,0.00001964793,0.00001003924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8265637,"threshold_uncertainty_score":0.456309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04151603262413715,"score_gpt":0.2419281261417393,"score_spread":0.2004120935176021,"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."}}