{"id":"W2071262178","doi":"10.1109/cdc.2012.6425842","title":"A bounded connectivity preserving aggregation strategy with collision avoidance property for single-integrator agents","year":2012,"lang":"en","type":"article","venue":"","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Bounded function; Integrator; Collision avoidance; Computer science; Controller (irrigation); Control theory (sociology); Property (philosophy); Range (aeronautics); Limit (mathematics); Regular polygon; Collision; Set (abstract data type); Multi-agent system; Double integrator; Aggregate (composite); Mathematical optimization; Mathematics; Control (management); Engineering; Artificial intelligence","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":[0.0003817588,0.000460074,0.000414307,0.0003363943,0.0004605561,0.0007415953,0.001263497,0.000467188,0.0005279434],"category_scores_gemma":[0.000963842,0.0001507766,0.0003188341,0.000297695,0.0006038006,0.0008186061,0.0007949694,0.0003592575,0.00009027024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004250467,"about_ca_system_score_gemma":0.0005259301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002057267,"about_ca_topic_score_gemma":0.001367135,"domain_scores_codex":[0.9997365,0.00004783658,0.00001648981,0.00005954278,0.0001093397,0.00003036748],"domain_scores_gemma":[0.9996507,0.00009510428,0.00007678091,0.00003868328,0.00009760821,0.00004113754],"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":[0.0001626799,0.0001198079,0.001110693,0.0002524568,0.00008053862,0.0008707662,0.0005934127,0.6776557,0.06873679,0.1006421,0.001510338,0.1482647],"study_design_scores_gemma":[0.00002024434,0.0001543794,0.0001660348,0.000006711983,0.00001339363,0.00009022718,0.00002264815,0.9892306,0.002610554,0.00679229,0.000881435,0.00001152576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04582588,0.0002459947,0.950902,0.0001191185,0.00004156568,0.00003999086,0.00001056008,0.0001745289,0.002640421],"genre_scores_gemma":[0.953815,0.0001262342,0.04497514,0.00004362012,0.00001456718,0.00006948355,0.00001851542,0.000009677838,0.0009277687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002057267,"threshold_uncertainty_score":0.004090548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05128210588730665,"score_gpt":0.2690579462153616,"score_spread":0.2177758403280549,"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."}}