{"id":"W2340645412","doi":"10.1155/2016/2560573","title":"Decentralized Cooperative Localization Approach for Autonomous Multirobot Systems","year":2016,"lang":"en","type":"article","venue":"Journal of Robotics","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Computer science; Robot; Asynchronous communication; Fuse (electrical); Covariance intersection; Extended Kalman filter; Bounded function; Kalman filter; Intersection (aeronautics); Artificial intelligence; Algorithm; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005974475,0.0005594008,0.0007745167,0.0006216949,0.0006337587,0.0006173407,0.001141597,0.0006128664,0.0009167242],"category_scores_gemma":[0.001188321,0.0003012837,0.0005646989,0.0006266306,0.0005700766,0.001045927,0.001268625,0.0006402089,0.0002721001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006707272,"about_ca_system_score_gemma":0.0009739163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00296955,"about_ca_topic_score_gemma":0.002068565,"domain_scores_codex":[0.9994109,0.0001619828,0.00002297932,0.0001464715,0.0002102806,0.00004738179],"domain_scores_gemma":[0.9994856,0.0001686771,0.00008198617,0.00007208999,0.0001670694,0.00002459489],"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":[0.00008885559,0.00004514515,0.0007877595,0.0001556788,0.00007950264,0.0001848636,0.0002781695,0.8387142,0.008535117,0.02941523,0.001305223,0.1204102],"study_design_scores_gemma":[0.00001109712,0.00004132239,0.0001277097,0.000004449962,0.000009459795,0.00003563739,0.00002517618,0.9916946,0.001015016,0.005720492,0.001306919,0.000008045393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004765705,0.0001333229,0.9939553,0.00004653596,0.00001536241,0.00001573857,0.000007324867,0.0001337985,0.0009268383],"genre_scores_gemma":[0.769482,0.0003717373,0.2270391,0.00008603023,0.00007606912,0.0002176197,0.00009820783,0.00005491786,0.002574336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00296955,"threshold_uncertainty_score":0.005904555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02601865722384987,"score_gpt":0.2562224187144801,"score_spread":0.2302037614906302,"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."}}