{"id":"W4317583813","doi":"10.2514/6.2023-1345","title":"Data-Driven and Robust Path-following Control of a Quadrotor Slung Load Transport System","year":2023,"lang":"en","type":"article","venue":"AIAA SCITECH 2023 Forum","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Payload (computing); Control theory (sociology); Kalman filter; Trajectory; Computer science; Path (computing); Gaussian process; Gaussian; Process (computing); Extended Kalman filter; System dynamics; Control engineering; Engineering; Control (management); Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001974251,0.0003720047,0.0002508214,0.0001627381,0.0002743391,0.0003944135,0.0003611413,0.0003265659,0.001224745],"category_scores_gemma":[0.0003953884,0.0001242968,0.000162333,0.0001243419,0.0003014757,0.0002477357,0.0004531678,0.0003034492,0.0002170337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003346743,"about_ca_system_score_gemma":0.0005706803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008050468,"about_ca_topic_score_gemma":0.005832305,"domain_scores_codex":[0.9999237,0.000009625468,0.000004559342,0.00002689297,0.00002405453,0.00001111591],"domain_scores_gemma":[0.9998629,0.00002936943,0.00004199625,0.00001184382,0.00004200554,0.00001191952],"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":[0.0003145353,0.0000511658,0.001569299,0.0001991994,0.00003946125,0.0005114546,0.000220864,0.8660419,0.06260828,0.002941122,0.001468528,0.06403419],"study_design_scores_gemma":[0.00001693661,0.0001074825,0.000553004,0.000005609202,0.000004723877,0.00002534556,0.00001562654,0.995649,0.002823993,0.0002313046,0.0005616376,0.000005279137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.206831,0.0002093612,0.7854381,0.0003752844,0.0001008009,0.0001335071,0.0002203601,0.0008501688,0.005841554],"genre_scores_gemma":[0.9913197,0.00003197522,0.007205379,0.00001771537,0.000005824574,0.00004459845,0.00004337851,0.000008778279,0.001322682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008050468,"threshold_uncertainty_score":0.01600724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02483211561485211,"score_gpt":0.2458315040131586,"score_spread":0.2209993883983065,"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."}}