{"id":"W2003228681","doi":"10.1109/tnn.2011.2176541","title":"Neural Network-Based Multiple Robot Simultaneous Localization and Mapping","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Networks","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; University of New Brunswick","funders":"","keywords":"Artificial intelligence; Computer science; Simultaneous localization and mapping; Occupancy grid mapping; Computer vision; Cluster analysis; Robot; Pattern recognition (psychology); Self-organizing map; Mobile robot","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006750058,0.0002904632,0.0002254275,0.0001146344,0.0002609977,0.00005551634,0.0001020518,0.0001905989,0.00004981541],"category_scores_gemma":[0.000004735341,0.0003028408,0.00008709112,0.0003956001,0.00006365142,0.0001323238,0.000001068806,0.0003479591,0.000005687664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004476347,"about_ca_system_score_gemma":0.000005951211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003390278,"about_ca_topic_score_gemma":0.0001008327,"domain_scores_codex":[0.9987217,0.00006261989,0.0003355379,0.0002903572,0.0001499214,0.0004398448],"domain_scores_gemma":[0.9993253,0.0001810696,0.00004448096,0.0002368371,0.0000552956,0.0001569765],"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":[0.00005012129,0.00004006906,0.0001861959,0.00002227449,0.00002427421,0.00002085654,0.0000785342,0.9816926,0.00008170919,0.000010311,0.00008286964,0.01771022],"study_design_scores_gemma":[0.0005247094,0.0001009211,0.0001131419,0.00003743622,0.0000348268,0.00001105537,0.00001500916,0.9981236,0.0006150603,0.00001586388,0.00009303868,0.0003153155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01488204,0.0001450063,0.9827873,0.0000259493,0.001235711,0.0002874939,0.000005359587,0.0005315502,0.0000995701],"genre_scores_gemma":[0.9970771,0.00007518553,0.002155138,0.0004156364,0.0001324308,0.00002027889,0.00001818728,0.000080187,0.00002583164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9821951,"threshold_uncertainty_score":0.9999424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02040240018987655,"score_gpt":0.1934593578370807,"score_spread":0.1730569576472042,"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."}}