{"id":"W4293817197","doi":"10.3390/robotics11040082","title":"Infrastructure-Aided Localization and State Estimation for Autonomous Mobile Robots","year":2022,"lang":"en","type":"article","venue":"Robotics","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Mobile robot; Computer vision; Odometry; Visual odometry; Artificial intelligence; Robot; Computer science; Slip (aerodynamics); Engineering","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":[0.00009256827,0.0001313501,0.0001420311,0.0000919414,0.0002156037,0.00005202547,0.00006647723,0.00004118273,0.00002321751],"category_scores_gemma":[0.00001989522,0.0001535165,0.00002822289,0.0001734751,0.00001935236,0.00008698192,0.00003334316,0.00009427377,0.000001920131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000143323,"about_ca_system_score_gemma":0.00002405462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005097519,"about_ca_topic_score_gemma":0.000003570627,"domain_scores_codex":[0.9992644,0.00002232064,0.0002341504,0.0001523562,0.0001386149,0.0001881548],"domain_scores_gemma":[0.9996632,0.00004738611,0.00004558024,0.00013815,0.0000473955,0.00005832236],"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":[0.000006390191,0.00001110665,0.0001484462,0.00006983311,0.0000145361,0.000001069012,0.0002215816,0.9897159,0.0001718002,0.001351039,0.0008579477,0.007430372],"study_design_scores_gemma":[0.0003475946,0.00009239489,0.0001989716,0.000005127308,0.00002316958,0.000006745319,0.00004968137,0.9945695,0.0003787943,0.002500668,0.001654417,0.0001729137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00903656,0.0001386619,0.9896415,0.00003469603,0.0003841821,0.0004522157,0.00003256069,0.0002151022,0.00006449806],"genre_scores_gemma":[0.9512843,0.00004361244,0.04794848,0.00009776158,0.00003388033,0.00009193067,0.0003387276,0.00006289338,0.00009841285],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9422477,"threshold_uncertainty_score":0.626022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005753093801573095,"score_gpt":0.2056604018051638,"score_spread":0.1999073080035907,"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."}}