{"id":"W4205697587","doi":"10.3389/frobt.2021.777535","title":"Visual Collaboration Leader-Follower UAV-Formation for Indoor Exploration","year":2022,"lang":"en","type":"article","venue":"Frontiers in Robotics and AI","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; New York University Abu Dhabi","keywords":"Computer science; Workspace; Latency (audio); Network packet; Scheme (mathematics); Computer vision; Real-time computing; Position (finance); Autopilot; Field of view; Artificial intelligence; Simulation; Human–computer interaction; Telecommunications; Robot; Computer network; Control engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001412037,0.0001041084,0.0001373005,0.0001815053,0.000190082,0.00007208599,0.00004683665,0.00005338583,0.000005351874],"category_scores_gemma":[0.00001589177,0.0001225235,0.00002378715,0.0002960334,0.00001429661,0.0003454653,0.00001557185,0.0001100431,7.388053e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001341426,"about_ca_system_score_gemma":0.0000163696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001789938,"about_ca_topic_score_gemma":0.0000108558,"domain_scores_codex":[0.9993135,0.00002786345,0.0002372011,0.0001219793,0.000141251,0.0001582286],"domain_scores_gemma":[0.9997932,0.00001383811,0.00003751567,0.00007097705,0.00004936445,0.00003511721],"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":[0.00002085494,0.00002495156,0.0005478026,0.00004445379,0.000009092106,9.35149e-7,0.000584879,0.9838597,0.000215156,0.001286321,0.01146762,0.001938271],"study_design_scores_gemma":[0.0006220642,0.00009479065,0.00008381915,0.000008200516,0.00001238201,9.153913e-7,0.001793348,0.9900204,0.000413252,0.0007933273,0.006004966,0.0001525299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00842885,0.0002730727,0.9885823,0.0007184485,0.001435193,0.0003943495,0.00001881917,0.00006332617,0.00008565789],"genre_scores_gemma":[0.9820066,0.0001132921,0.01702783,0.0001853293,0.00008123936,0.0001005812,0.0003598059,0.0000326293,0.00009268866],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9735777,"threshold_uncertainty_score":0.4996364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01095313512061829,"score_gpt":0.2285981459280682,"score_spread":0.2176450108074499,"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."}}