{"id":"W4382343024","doi":"10.3390/robotics12030070","title":"Occupancy Grid Mapping via Resource-Constrained Robotic Swarms: A Collaborative Exploration Strategy","year":2023,"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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Swarm behaviour; Occupancy grid mapping; Robot; Computer science; Grid; Swarm robotics; Occupancy; Resource (disambiguation); Distributed computing; Landmark; Artificial intelligence; Real-time computing; Mobile robot; Engineering; Geography","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":[0.000851777,0.0006946669,0.0009940384,0.0004967324,0.0006470495,0.000751755,0.001392771,0.0007240591,0.0009231261],"category_scores_gemma":[0.001967715,0.0004168353,0.0005900979,0.0004722898,0.0007792328,0.001167672,0.002167486,0.000541488,0.0001816663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003934876,"about_ca_system_score_gemma":0.0006450985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002246705,"about_ca_topic_score_gemma":0.001889475,"domain_scores_codex":[0.9995195,0.0001589258,0.00002042194,0.000100046,0.0001180857,0.00008316199],"domain_scores_gemma":[0.9992257,0.0003973411,0.0001099507,0.0001072305,0.00007390896,0.00008584962],"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":[0.0001171658,0.00007550218,0.0008667021,0.00007604764,0.00006330906,0.0002383026,0.0003481807,0.9248703,0.005392675,0.01665221,0.0010264,0.05027323],"study_design_scores_gemma":[0.00001476951,0.00005069156,0.0001019635,0.000004153508,0.000008701133,0.00005166677,0.00004428773,0.9945602,0.0006572189,0.003786594,0.0007119981,0.000007860435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03664801,0.0001922038,0.9602457,0.0001259119,0.00002579979,0.00005193046,0.00001825249,0.0001695931,0.002522714],"genre_scores_gemma":[0.8475785,0.0001383915,0.1500238,0.000061156,0.00002934509,0.0001559328,0.00004760023,0.00003743429,0.00192784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002246705,"threshold_uncertainty_score":0.004504681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02871884671325318,"score_gpt":0.2350791882601399,"score_spread":0.2063603415468868,"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."}}