{"id":"W2967690842","doi":"10.1109/icra.2019.8794017","title":"Fast and In Sync: Periodic Swarm Patterns for Quadrotors","year":2019,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Swarm behaviour; Computer science; Trajectory; Motion (physics); Synchronizing; Choreography; Drone; Smoothness; Artificial intelligence; Computer vision; Motion control; Robot; Mathematics","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":[0.0002225409,0.0004152637,0.0002497087,0.0002631447,0.0003366323,0.0003595354,0.0004557199,0.0002981355,0.001807676],"category_scores_gemma":[0.0006273749,0.0002043628,0.0002272426,0.0001596774,0.0004487581,0.0004092036,0.000549558,0.0002643933,0.0002971984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003177289,"about_ca_system_score_gemma":0.0002802414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001073355,"about_ca_topic_score_gemma":0.001407965,"domain_scores_codex":[0.9998826,0.00002962284,0.000006687394,0.00002587143,0.00003795346,0.00001735074],"domain_scores_gemma":[0.9997956,0.00005482645,0.00003551314,0.00005164383,0.00003038692,0.00003198989],"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":[0.0002330532,0.0001152232,0.002711585,0.0002379802,0.00004222474,0.0004998966,0.0005034804,0.7455411,0.104531,0.03900532,0.002220897,0.104358],"study_design_scores_gemma":[0.00002603752,0.0001650386,0.0006852778,0.00001201408,0.000007583149,0.0001423894,0.00008095846,0.97383,0.01297304,0.006457056,0.005607428,0.00001304162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1519534,0.0001469456,0.8382161,0.0001190991,0.00004850324,0.0001134734,0.00007761506,0.0006548775,0.008670039],"genre_scores_gemma":[0.8081059,0.00009316945,0.188518,0.00002884857,0.000007468095,0.00009990563,0.0001110581,0.0001311661,0.002904497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001807676,"threshold_uncertainty_score":0.006047308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119077116626938,"score_gpt":0.2416814017624942,"score_spread":0.2304906305962248,"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."}}