{"id":"W2539456223","doi":"10.1109/lars.2009.5418317","title":"Formation control of cooperative robots with limited sensing using a virtual robot as reference","year":2009,"lang":"en","type":"article","venue":"","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ryerson University","keywords":"Mobile robot; Robot; Computer science; Task (project management); Human–computer interaction; Software; Robot kinematics; Control (management); Artificial intelligence; Engineering; Systems engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005927323,0.0004555951,0.0003679238,0.0003191108,0.0003931409,0.0006145296,0.0008648596,0.000335973,0.0003946027],"category_scores_gemma":[0.00118263,0.0002155612,0.0002813696,0.0001915151,0.0009262176,0.000545162,0.0009594264,0.0002619779,0.0001214435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003076862,"about_ca_system_score_gemma":0.0003874649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001846054,"about_ca_topic_score_gemma":0.00136071,"domain_scores_codex":[0.9997258,0.0000860564,0.00001132755,0.00006887972,0.00007689228,0.00003104573],"domain_scores_gemma":[0.9994857,0.0001492861,0.0001369852,0.00008095532,0.00009802351,0.00004894237],"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":[0.0003325966,0.0001071392,0.001311128,0.0001012709,0.00007951888,0.000437531,0.0007987547,0.8389024,0.05348589,0.03476268,0.0006887236,0.06899233],"study_design_scores_gemma":[0.00004358867,0.0002558301,0.0003609168,0.000004816241,0.00001831917,0.00006164235,0.0000534994,0.9892163,0.004748072,0.004047766,0.001177595,0.00001164088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.171798,0.0002677834,0.8247003,0.00007844152,0.0000507617,0.00003386034,0.000009402303,0.0002661378,0.002795394],"genre_scores_gemma":[0.9790388,0.00006054152,0.01994781,0.00001289011,0.000009637584,0.00003840147,0.000008971556,0.000007147033,0.0008757389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001846054,"threshold_uncertainty_score":0.003670633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02965655752477393,"score_gpt":0.2556693991818254,"score_spread":0.2260128416570515,"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."}}