{"id":"W2967200768","doi":"10.1109/icuas.2019.8797944","title":"Input Shaped Trajectory Generation and Controller Design for a Quadrotor-Slung Load System","year":2019,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Payload (computing); Control theory (sociology); Trajectory; Controller (irrigation); Computer science; Rest (music); Path (computing); Control engineering; Engineering; Control (management); Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0003686801,0.0001745236,0.0003303566,0.000056381,0.00003526357,0.00004990927,0.00006939932,0.0001058485,0.00001943294],"category_scores_gemma":[0.00002436709,0.0001535371,0.00006150893,0.00004267447,0.000009483499,0.0001393153,0.000008013571,0.00006294724,0.00007458001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001917797,"about_ca_system_score_gemma":0.00003307044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001322623,"about_ca_topic_score_gemma":0.00001840101,"domain_scores_codex":[0.9991126,0.0000495053,0.0002766501,0.0002053974,0.0001442335,0.0002115923],"domain_scores_gemma":[0.9994894,0.0001647258,0.00003926585,0.0001373566,0.0001010775,0.00006823676],"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":[0.0002749113,0.00002497195,0.000492612,0.000737865,0.0004441338,0.000004482384,0.0004232021,0.06433996,0.9238502,0.003122547,0.004079023,0.002206136],"study_design_scores_gemma":[0.00251789,0.00009797034,0.0001889202,0.00003538586,0.00002419571,0.000006999027,0.0001009874,0.9940199,0.001083769,0.000002387605,0.001729686,0.0001919682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09823116,0.001109785,0.8947065,0.00001902152,0.0005975672,0.002992359,0.00001107827,0.000452689,0.00187988],"genre_scores_gemma":[0.9926887,0.000003628185,0.005442339,0.00003486578,0.0004401259,0.0002623512,0.000003691179,0.00004934738,0.001075024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9296799,"threshold_uncertainty_score":0.6261061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02556696197068681,"score_gpt":0.2177351981868283,"score_spread":0.1921682362161415,"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."}}