{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000191834,0.0002944031,0.0003182213,0.000315398,0.0001682316,0.0001305652,0.0001552447,0.0001768715,0.00002635754],"category_scores_gemma":[0.00006201414,0.0003205155,0.0000721437,0.001722677,0.00006008839,0.0002745845,0.00002999842,0.0002216349,0.0002899364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001194884,"about_ca_system_score_gemma":0.0000661145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005574401,"about_ca_topic_score_gemma":0.00001680971,"domain_scores_codex":[0.9983648,0.00007137558,0.000479491,0.0002905808,0.0003015696,0.0004921968],"domain_scores_gemma":[0.9991948,0.0001124757,0.00007543767,0.0003189172,0.0001527489,0.000145628],"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":[0.000006096198,0.00001887001,0.0001024452,0.00008743855,0.00005337862,0.00004515621,0.000685079,0.9897429,0.001546103,0.001969753,0.003737357,0.002005477],"study_design_scores_gemma":[0.0004128287,0.00006346615,0.0003292412,0.00007474954,0.00003362976,0.000007419004,0.001543028,0.9944137,0.0007961132,0.0009337975,0.001004246,0.0003878292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005810282,0.0001850801,0.987565,0.0004193065,0.0009148723,0.000522853,0.00002823512,0.00156111,0.002993222],"genre_scores_gemma":[0.9885119,0.0002506631,0.009418646,0.00009540328,0.0005077327,0.00003690914,0.0006927171,0.0001360213,0.0003500437],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9827016,"threshold_uncertainty_score":0.9999247,"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."}}