{"id":"W2126031217","doi":"10.1109/aim.2010.5695798","title":"Connectivity control of mobile multi-robot networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Collision avoidance; Computer science; Mobile robot; Distributed computing; Controller (irrigation); Robot; Range (aeronautics); Field (mathematics); Computer network; Collision; Artificial intelligence; Engineering; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001778404,0.0003822349,0.0002617298,0.0003491908,0.000310345,0.0003715951,0.0006679769,0.0002750713,0.0004349613],"category_scores_gemma":[0.0006594782,0.0001175416,0.0001626782,0.0002330994,0.0004333662,0.0006072573,0.0005489886,0.0002761574,0.00006415084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002642802,"about_ca_system_score_gemma":0.0002062759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00120991,"about_ca_topic_score_gemma":0.0009216949,"domain_scores_codex":[0.9998167,0.00004734262,0.000009048535,0.00004335087,0.00006211093,0.00002150717],"domain_scores_gemma":[0.9997752,0.00009446075,0.0000553633,0.00001824049,0.00004081677,0.00001588085],"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":[0.00006953967,0.00002906216,0.0006659133,0.000109344,0.00002315116,0.0002190789,0.0001361597,0.8370675,0.02173152,0.039137,0.0007267669,0.100085],"study_design_scores_gemma":[0.00002050981,0.00008985952,0.0003136181,0.000006092322,0.000008520009,0.00006026615,0.0000191781,0.9837482,0.001945609,0.01197716,0.001803448,0.000007484499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05653046,0.0005799775,0.9388722,0.0001570245,0.00004892078,0.00003820462,0.00001995568,0.0003074262,0.003445915],"genre_scores_gemma":[0.9716517,0.0002617628,0.02715314,0.00002773155,0.00002633259,0.00006211065,0.00003120512,0.00001334742,0.0007726933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00120991,"threshold_uncertainty_score":0.002405763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009965560065230625,"score_gpt":0.2387697673752465,"score_spread":0.2288042073100158,"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."}}