{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002419386,0.0001926369,0.0003421245,0.0001259855,0.000112709,0.0001755287,0.0003530547,0.00007260343,0.000005046858],"category_scores_gemma":[0.0000716092,0.0001479267,0.00004052345,0.0004911452,0.00003525874,0.00119097,0.00003439845,0.0001136211,0.00002031836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009231125,"about_ca_system_score_gemma":0.0001229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001232853,"about_ca_topic_score_gemma":0.00002694937,"domain_scores_codex":[0.9984168,0.0001639838,0.0004255502,0.0003087338,0.0003906066,0.0002943026],"domain_scores_gemma":[0.998574,0.0001000431,0.0002810913,0.0004318007,0.0005164157,0.00009667555],"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":[0.0003503861,0.000264658,0.0001155565,0.00002163787,0.0001605805,0.00007286407,0.002075366,0.415657,0.396698,0.132437,0.0001239026,0.05202299],"study_design_scores_gemma":[0.002062994,0.0006104886,0.0005571177,0.0001082033,0.00002013154,0.00008677947,0.0001630293,0.9810699,0.01500569,0.0000744576,0.00003062652,0.0002105345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04265648,0.00002182214,0.9545372,0.0003917608,0.00006327766,0.0004143198,0.000005261398,0.0001479626,0.001761913],"genre_scores_gemma":[0.972632,0.000001000776,0.02685146,0.0004077415,0.00002076139,0.00000175383,0.000008817658,0.000005656867,0.0000708187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9299755,"threshold_uncertainty_score":0.6032276,"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."}}