{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003559173,0.0001449239,0.0002396372,0.00005649992,0.0002595282,0.0001959822,0.00053382,0.00005896399,5.533005e-7],"category_scores_gemma":[0.000373651,0.0001312765,0.00003368686,0.0002627429,0.0000690729,0.0007968649,0.0000784806,0.00008048337,0.000002008863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006694997,"about_ca_system_score_gemma":0.00004773627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001856715,"about_ca_topic_score_gemma":0.0006551609,"domain_scores_codex":[0.9988791,0.0001549395,0.0002347578,0.0003666667,0.0001444148,0.0002201652],"domain_scores_gemma":[0.9977068,0.001074209,0.0001726675,0.0007652271,0.0002334754,0.00004758052],"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":[0.00140185,0.0007984927,0.3178603,0.0008189617,0.0004581899,0.000004845357,0.001999317,0.003582256,0.01455895,0.6196189,0.002720771,0.03617719],"study_design_scores_gemma":[0.005444647,0.0001055437,0.1116094,0.0001909545,0.00002619077,0.000001850919,0.00008989387,0.8666961,0.001195082,0.002456504,0.01193832,0.0002455082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07566734,0.0006999238,0.9191479,0.002507242,0.0001144131,0.001492926,0.00007043884,0.0001766173,0.0001232263],"genre_scores_gemma":[0.9917111,0.00001037289,0.00703067,0.0001697401,0.00001592345,0.0007543082,0.00003072681,0.000008108888,0.0002690649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9160438,"threshold_uncertainty_score":0.53533,"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."}}