{"id":"W4404520437","doi":"10.1109/tro.2024.3502497","title":"Multirobot Persistent Monitoring: Minimizing Latency and Number of Robots With Recharging Constraints","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Robotics","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robot; Computer science; Latency (audio); Mobile robot; Artificial intelligence; Real-time computing; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001398423,0.0001428507,0.0001556152,0.0001477023,0.0001356417,0.000148935,0.0001826167,0.00006395889,0.00002511672],"category_scores_gemma":[0.000002936972,0.000124335,0.00007304658,0.000389389,0.0001230885,0.0003065712,0.000003619835,0.0002466378,0.00001701242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000416261,"about_ca_system_score_gemma":0.00007790883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000890596,"about_ca_topic_score_gemma":0.000001633517,"domain_scores_codex":[0.9989418,0.0000442588,0.0002157238,0.0003193665,0.0002551407,0.0002237166],"domain_scores_gemma":[0.999393,0.0001296292,0.00003652484,0.0002307792,0.00009423868,0.0001158164],"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":[0.000006590157,0.00007981477,0.0001065051,0.00008585542,0.00007356787,0.00001737694,0.001248431,0.9726072,0.0004581942,0.001606711,0.000007349291,0.02370244],"study_design_scores_gemma":[0.0004352667,0.0001673723,0.00006445735,0.0005211206,0.00004851628,0.0001234256,0.0002953124,0.9930254,0.004971399,0.00008931736,0.00001868642,0.0002397155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001699183,0.00007332219,0.9961808,0.0006589164,0.0005251741,0.0001603117,0.000003835244,0.0001694932,0.0005289131],"genre_scores_gemma":[0.6583685,0.0001429092,0.3410647,0.00001747281,0.00001267546,0.000007385848,3.483852e-7,0.00001372906,0.0003723031],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6566693,"threshold_uncertainty_score":0.5070234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03642305835109454,"score_gpt":0.2836847986792799,"score_spread":0.2472617403281853,"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."}}