{"id":"W4225158077","doi":"10.1109/tcyb.2022.3166481","title":"A Multirobot Person Search System for Finding Multiple Dynamic Users in Human-Centered Environments","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; AGE-WELL; Ontario Centres of Excellence","keywords":"Robot; Set (abstract data type); Cluster analysis; Action (physics); Selection (genetic algorithm); Search problem; Path (computing); Graph; Fuzzy logic","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":[0.0004368684,0.0005990203,0.0007365794,0.0004051588,0.0007785703,0.0005458068,0.001154399,0.000870905,0.003192692],"category_scores_gemma":[0.0007120795,0.0002669361,0.0005429169,0.0005438218,0.000288199,0.0009190391,0.0009976303,0.0005689502,0.0006245715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004712179,"about_ca_system_score_gemma":0.001518696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004823716,"about_ca_topic_score_gemma":0.006118155,"domain_scores_codex":[0.9996703,0.00006281493,0.00001719969,0.0001029367,0.0001020507,0.00004483871],"domain_scores_gemma":[0.9996994,0.00007507965,0.00004288374,0.00005093134,0.00006453742,0.00006714287],"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":[0.0006987996,0.0004648936,0.003331532,0.0004411389,0.0001750265,0.0007521213,0.0005374714,0.5282308,0.04586151,0.01178733,0.006475432,0.401244],"study_design_scores_gemma":[0.00004885345,0.0002938804,0.0006370072,0.000007718622,0.00002840141,0.0001974284,0.00008089545,0.9871446,0.00572103,0.001388486,0.004425296,0.00002645435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05570231,0.0002642079,0.938525,0.0001324987,0.00004882468,0.0001917668,0.000120378,0.00203857,0.002976379],"genre_scores_gemma":[0.5572535,0.0001579893,0.4374734,0.0001121108,0.00001995296,0.0003023976,0.0002311525,0.0000706822,0.004378862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004823716,"threshold_uncertainty_score":0.01068062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04604538842964261,"score_gpt":0.2705196836000002,"score_spread":0.2244742951703576,"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."}}