{"id":"W4412431433","doi":"10.1109/med64031.2025.11073197","title":"Energy-Aware Coordination of Heterogeneous Robotic Systems with Mobile Charging Stations for Long-Term Environmental Monitoring","year":2025,"lang":"en","type":"article","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Term (time); Computer science; Energy (signal processing); Mobile robot; Real-time computing; Environmental science; Robot; Artificial intelligence","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":[0.00003286354,0.0001029595,0.0001333217,0.00008237369,0.00005314565,0.00002443809,0.00007474927,0.00003468863,0.0000141113],"category_scores_gemma":[8.426115e-7,0.00009316475,0.00003167088,0.00006726362,0.00001470506,0.00007008357,0.00001156,0.00003093839,0.000001169225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008021391,"about_ca_system_score_gemma":0.000006868213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002081832,"about_ca_topic_score_gemma":0.000007016506,"domain_scores_codex":[0.9994649,0.000006946364,0.000182424,0.0001222768,0.00008616309,0.000137296],"domain_scores_gemma":[0.9997606,0.00003465257,0.00002690956,0.0001313759,0.00001986861,0.00002654403],"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":[0.000003910899,0.00002262452,0.006636383,0.0001982226,0.00006736809,0.000001562148,0.00007022057,0.9812993,0.004689006,0.0002469284,0.00001103761,0.006753436],"study_design_scores_gemma":[0.0002280282,0.00008623748,0.001372029,0.0002031362,0.00004398912,0.0000064695,0.000251008,0.8517564,0.1457948,0.00001312087,0.00006019479,0.0001845871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1735339,0.0005793531,0.8252303,0.000002966984,0.000249458,0.0002449305,0.000009369563,0.00006411405,0.00008559103],"genre_scores_gemma":[0.9983636,0.00006444134,0.0006078854,0.000002070784,0.00002796807,0.0001970479,0.00002719882,0.00001892858,0.0006908855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8248296,"threshold_uncertainty_score":0.3799148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009468356979699895,"score_gpt":0.2270537084543164,"score_spread":0.2175853514746165,"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."}}