{"id":"W2119394765","doi":"10.1109/taes.2012.6324664","title":"Flatness-Based Trajectory Planning/Replanning for a Quadrotor Unmanned Aerial Vehicle","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Aerospace and Electronic Systems","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":190,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Concordia University","funders":"","keywords":"Actuator; Control theory (sociology); Trajectory; Flatness (cosmology); Trajectory optimization; Engineering; Motion planning; Control engineering; Computer science; Control (management); Robot; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007030937,0.0003240112,0.0003904226,0.0001916663,0.0004783722,0.0001922511,0.0003683324,0.000192235,0.000002973291],"category_scores_gemma":[0.000009823453,0.0003168367,0.0001302588,0.0003221121,0.00005218754,0.0003848528,0.000002294758,0.0003515035,0.00002198498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002245707,"about_ca_system_score_gemma":0.0002105438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008992162,"about_ca_topic_score_gemma":0.000004643105,"domain_scores_codex":[0.9975436,0.0001322887,0.0003320973,0.0005130338,0.0003179567,0.001161032],"domain_scores_gemma":[0.9986888,0.0003429413,0.0001501607,0.0004985144,0.00005981782,0.0002597256],"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":[0.001316466,0.001447585,0.002201699,0.0008062585,0.0007647966,0.00003334998,0.01082021,0.9094492,0.0522646,0.005510884,0.003818716,0.0115662],"study_design_scores_gemma":[0.00422258,0.001672525,0.0005562494,0.0003566868,0.0001044333,0.000140386,0.0003788884,0.9647983,0.0221209,0.00003585873,0.004583676,0.001029511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07471201,0.001055553,0.9204257,0.0001876454,0.002396665,0.0008187982,0.00001409281,0.0003390642,0.00005050797],"genre_scores_gemma":[0.9927939,0.000007827954,0.005789263,0.0001154063,0.0003403837,0.0004930368,0.000003398379,0.00004101204,0.0004157508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9180819,"threshold_uncertainty_score":0.9999284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02511185920695837,"score_gpt":0.272063211421979,"score_spread":0.2469513522150207,"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."}}