{"id":"W4385414908","doi":"10.2316/j.2023.206-0931","title":"QUADROTOR TRAJECTORY PLANNING WITH MODIFIED SELF-REGULATING PARTICLE SWARM OPTIMISATION FOR AUTONOMOUS FLIGHT, 481-488.","year":2023,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Trajectory; Particle swarm optimization; Swarm behaviour; Computer science; Control theory (sociology); Aeronautics; Engineering; Artificial intelligence; Control (management); Physics; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002354952,0.000106286,0.0001511198,0.0001679377,0.00005969909,0.00009162648,0.00009319016,0.00004922251,0.000001296501],"category_scores_gemma":[0.00004292281,0.00009709335,0.00004086139,0.0001068015,0.00001027014,0.0004290567,0.000008989047,0.00007087641,0.000001384017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000134756,"about_ca_system_score_gemma":0.0000283209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001215794,"about_ca_topic_score_gemma":0.000001080678,"domain_scores_codex":[0.9990991,0.0000163668,0.0004140277,0.00008585792,0.0002558945,0.0001287093],"domain_scores_gemma":[0.9992628,0.000115117,0.0002454815,0.00005346592,0.0002731042,0.00005009766],"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":[0.00003436838,0.00001132383,0.0002497658,0.00002933433,0.0001243538,0.000004771552,0.0006130685,0.9917043,0.003060314,0.0008225069,0.00004572598,0.003300119],"study_design_scores_gemma":[0.001134832,0.00007611911,0.002080516,0.0001066384,0.00003251887,0.00004005134,0.0001084936,0.9942291,0.001627485,0.0003584717,0.00009579818,0.0001099083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2861315,0.00007060459,0.7125657,0.0002642012,0.0004759743,0.0002057738,0.000004512201,0.0002242707,0.00005748242],"genre_scores_gemma":[0.9460003,0.00001967552,0.05363011,0.00001386875,0.0002482521,0.00001796096,0.00001812778,0.00002652458,0.00002519578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6598687,"threshold_uncertainty_score":0.3959352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01371688960116156,"score_gpt":0.2497511231613671,"score_spread":0.2360342335602055,"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."}}