{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002272807,0.0007511768,0.0003819848,0.0003124597,0.000339823,0.0003718146,0.0004630942,0.0003392282,0.0006872228],"category_scores_gemma":[0.0003601838,0.0002711893,0.0003235836,0.0002933183,0.0003761747,0.000337559,0.0005573233,0.0003318131,0.0001147914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004889749,"about_ca_system_score_gemma":0.0006356363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0100628,"about_ca_topic_score_gemma":0.005435054,"domain_scores_codex":[0.9998603,0.00002804612,0.000007279775,0.00003945048,0.00003671589,0.00002821628],"domain_scores_gemma":[0.9998624,0.00003953398,0.00003791142,0.00001276336,0.0000304601,0.00001688765],"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":[0.00006731936,0.00001941241,0.000330821,0.00002738623,0.00001584904,0.0001660304,0.00005901785,0.962479,0.009867722,0.00240739,0.0002857962,0.0242743],"study_design_scores_gemma":[0.000007195078,0.00006796644,0.0001870622,0.000001694563,0.000003095745,0.00002049357,0.000009535639,0.9979424,0.0008918115,0.0006741229,0.0001895601,0.000005136464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07862686,0.0001566902,0.9188329,0.0001013997,0.00002028299,0.00006035946,0.00005608886,0.0002513287,0.001894086],"genre_scores_gemma":[0.9454276,0.0001028336,0.0526498,0.00003412278,0.000006764708,0.00007191979,0.0001082302,0.00002318289,0.001575555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0100628,"threshold_uncertainty_score":0.0200085,"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."}}