{"id":"W4407408401","doi":"10.3390/drones9020136","title":"Connectivity Preservation and Obstacle Avoidance Control for Multiple Quadrotor UAVs with Limited Communication Distance","year":2025,"lang":"en","type":"article","venue":"Drones","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Chinese Aeronautical Establishment; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Obstacle avoidance; Obstacle; Computer science; Control (management); Artificial intelligence; Geography; Mobile robot","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":[0.0001522617,0.0004824931,0.0003047597,0.000281543,0.0003630607,0.0003965096,0.0005591955,0.0002511822,0.0004467527],"category_scores_gemma":[0.0004929476,0.0001843481,0.0002440722,0.0002031366,0.0004023588,0.0005000879,0.0007345211,0.0002839066,0.00005688507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003654998,"about_ca_system_score_gemma":0.0003090485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003859673,"about_ca_topic_score_gemma":0.002819623,"domain_scores_codex":[0.9998671,0.00002321219,0.000005197231,0.00004614173,0.00003302113,0.00002528768],"domain_scores_gemma":[0.9997458,0.0000756845,0.00009721542,0.00001694187,0.00003502065,0.00002928773],"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":[0.00007690197,0.00002685496,0.001003679,0.00005047685,0.00002128228,0.000225784,0.0001115538,0.9656568,0.01136791,0.005073539,0.0002364473,0.01614893],"study_design_scores_gemma":[0.0000107057,0.00009627714,0.0004448084,0.000002174556,0.000006245006,0.00002467177,0.00002514298,0.9971954,0.0006971596,0.001262472,0.0002319645,0.000002938179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3246666,0.0003764528,0.6704904,0.0001543486,0.00004226293,0.00003488813,0.00003062219,0.000168913,0.004035466],"genre_scores_gemma":[0.993973,0.00006301293,0.00534666,0.00001012861,0.000005614331,0.00001651035,0.00001427174,0.000004454434,0.0005665477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003859673,"threshold_uncertainty_score":0.007674396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137054039051444,"score_gpt":0.2339021653720049,"score_spread":0.2225316249814905,"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."}}