{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004340392,0.0001219234,0.0002721733,0.00008654191,0.0001165215,0.0001600816,0.0005510662,0.00008814918,0.00000270483],"category_scores_gemma":[0.00017451,0.00007294336,0.00009469516,0.0001659249,0.00003892393,0.0004356279,0.00005657026,0.00009202801,0.000003578985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000787289,"about_ca_system_score_gemma":0.00009318328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001852651,"about_ca_topic_score_gemma":3.070358e-7,"domain_scores_codex":[0.998708,0.00009997612,0.0005348738,0.0001667991,0.0002554105,0.0002349374],"domain_scores_gemma":[0.998333,0.0002792899,0.0004295965,0.0002604044,0.0005669396,0.0001308169],"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":[0.00003153571,0.00009974399,0.0002423931,0.00001813678,0.00003803289,0.000007240398,0.0001449993,0.9596828,0.0003170573,0.02385991,0.008930922,0.00662723],"study_design_scores_gemma":[0.001543612,0.0001973149,0.00005330639,0.0001049121,0.00002450596,0.0001532583,0.00003620006,0.9861373,0.0003277392,0.0001798179,0.0110877,0.0001542897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001096833,0.0003892751,0.997358,0.0004043354,0.00146299,0.0001755162,0.000006812898,0.00003924488,0.00005416033],"genre_scores_gemma":[0.2740735,0.0002635208,0.7248446,0.0001360779,0.0003783454,0.000004217644,0.000005230371,0.00001848615,0.0002760824],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2739638,"threshold_uncertainty_score":0.2974544,"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."}}