{"id":"W4285243778","doi":"10.1007/978-3-030-96087-2_5","title":"Rendezvous of Flying Robots","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in control and information sciences","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Rendezvous; Robot; Robotics; Computer science; Underactuation; Mobile robot; Artificial intelligence; Control engineering; Control theory (sociology); Engineering; Aerospace engineering; Control (management)","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":[0.00007123108,0.000337267,0.0003566099,0.0003275961,0.0006906241,0.0005052827,0.0007123157,0.0003571527,0.005895454],"category_scores_gemma":[0.0003157914,0.0002253979,0.0003313266,0.0002595066,0.0006336374,0.0005809859,0.000892261,0.0005192635,0.0008187243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004018577,"about_ca_system_score_gemma":0.0002022085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004338287,"about_ca_topic_score_gemma":0.003540085,"domain_scores_codex":[0.9999186,0.00001071101,0.000001827639,0.00002264297,0.00002826398,0.00001803861],"domain_scores_gemma":[0.9999455,0.00001706507,0.000005763086,0.00001260697,0.000007036041,0.00001200369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004598383,0.00004953732,0.000936204,0.0003883766,0.00009063427,0.0008643481,0.001242593,0.2020961,0.08765381,0.4409448,0.0143333,0.2509406],"study_design_scores_gemma":[0.00009615499,0.0003552322,0.003305714,0.00009259808,0.00004949446,0.001205972,0.0007870648,0.571673,0.03411898,0.2635943,0.1246436,0.00007787982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3596819,0.008207396,0.3273495,0.0006432188,0.0007187591,0.0001010188,0.0002391244,0.001427104,0.301632],"genre_scores_gemma":[0.870322,0.001943618,0.03037828,0.00005570202,0.00008151734,0.00004785864,0.0002547205,0.0001916547,0.09672473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005895454,"threshold_uncertainty_score":0.01972228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688847759931703,"score_gpt":0.2334772821328045,"score_spread":0.2165888045334874,"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."}}