{"id":"W2047083748","doi":"10.1109/tro.2011.2174493","title":"Persistent Robotic Tasks: Monitoring and Sweeping in Changing Environments","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Robotics","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":239,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Robot; Robustness (evolution); Bounded function; Mobile robot; Control theory (sociology); Controller (irrigation); Computer science; Motion planning; Field (mathematics); Control engineering; Mathematics; Engineering; Artificial intelligence; Control (management)","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":[0.0001977346,0.0001898841,0.0002120905,0.0004146362,0.0001681562,0.00007382848,0.0003576295,0.00008107437,0.000004616459],"category_scores_gemma":[0.00000335262,0.0002092394,0.00009087904,0.0004026542,0.00003405407,0.0003644272,0.000007126949,0.0002213104,0.00004158276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001732032,"about_ca_system_score_gemma":0.00001496772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004128238,"about_ca_topic_score_gemma":0.000005633205,"domain_scores_codex":[0.9985635,0.00006903666,0.0002879176,0.0003957075,0.0002426082,0.0004412519],"domain_scores_gemma":[0.9993209,0.00005175752,0.00007462557,0.0004137091,0.00001229146,0.0001267155],"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":[0.000008137973,0.0002466186,0.0007210652,0.0000242545,0.000069978,0.00003945233,0.002999929,0.984543,0.001319076,0.000376045,0.000001434925,0.009651064],"study_design_scores_gemma":[0.001736677,0.0002475849,0.005642063,0.0003707474,0.00009753803,0.00005612487,0.00115341,0.9796115,0.01028937,0.00008477935,0.0000297937,0.0006804076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007454324,0.000102755,0.9906092,0.00009595401,0.001266352,0.0002401959,0.000002315181,0.00008546962,0.0001434327],"genre_scores_gemma":[0.9800278,0.00004369372,0.01960933,0.00002728692,0.00002910243,0.00003024361,4.213275e-7,0.00001631843,0.0002157911],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9725735,"threshold_uncertainty_score":0.8532536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04025656053264936,"score_gpt":0.2283417801497222,"score_spread":0.1880852196170728,"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."}}