{"id":"W2096300742","doi":"10.1109/tro.2009.2035741","title":"Decentralized Localization of Sparsely-Communicating Robot Networks: A Centralized-Equivalent Approach","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Robotics","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Robot; Scalability; Computer science; Mobile robot; Distributed computing; Network topology; Set (abstract data type); State (computer science); Telecommunications network; Robot kinematics; Topology (electrical circuits); Computer network; Artificial intelligence; Engineering; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008556311,0.0004854169,0.0007895394,0.000519493,0.0004683236,0.0006657429,0.001323475,0.0007708597,0.001258152],"category_scores_gemma":[0.004315673,0.0003528451,0.0004985827,0.0004749276,0.0009686194,0.001349925,0.00156415,0.0007270963,0.0001995848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000620498,"about_ca_system_score_gemma":0.0005748656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001242611,"about_ca_topic_score_gemma":0.001228997,"domain_scores_codex":[0.999209,0.0002574204,0.00002683088,0.0001629788,0.00029491,0.00004892135],"domain_scores_gemma":[0.9984226,0.0008117713,0.0001990146,0.00027267,0.0002461945,0.00004783489],"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":[0.0000622063,0.00003831929,0.0004279911,0.00007749168,0.00002588924,0.0001473872,0.0001175512,0.896323,0.004912245,0.0540247,0.0006752505,0.04316803],"study_design_scores_gemma":[0.000007276972,0.00001929255,0.00004988121,0.000002497212,0.000004069394,0.00002472294,0.000006837249,0.9898094,0.0004337025,0.009419207,0.0002200126,0.000003061933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00931944,0.00006256462,0.9887554,0.0001072402,0.000009242216,0.00001729077,0.00001115746,0.0001126168,0.001604956],"genre_scores_gemma":[0.7830434,0.0002329148,0.2140322,0.0001217919,0.00009310048,0.0001346462,0.00009150356,0.00007259959,0.002177926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001323475,"threshold_uncertainty_score":0.004525006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0375298929966139,"score_gpt":0.2505772447872868,"score_spread":0.2130473517906729,"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."}}