{"id":"W2149304921","doi":"10.1109/robio.2009.4913295","title":"A control allocation approach for energetic swarm control of wheeled mobile robots","year":2009,"lang":"en","type":"article","venue":"","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Swarm behaviour; Control theory (sociology); Particle swarm optimization; Mobile robot; Trajectory; Computer science; Controller (irrigation); Swarm robotics; Robot; Control engineering; Engineering; Control (management); Artificial intelligence; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001810468,0.0001934443,0.0004061021,0.00009325892,0.00003277735,0.0000190857,0.0001625825,0.0001115943,0.00001555162],"category_scores_gemma":[0.0000264843,0.0001771064,0.0001680036,0.00009630087,0.00001810162,0.00009997005,0.000004179385,0.00007374593,0.000003375495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004256418,"about_ca_system_score_gemma":0.00001921491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001181268,"about_ca_topic_score_gemma":0.000008622789,"domain_scores_codex":[0.9989729,0.00001738084,0.0003728103,0.0001962689,0.0001406612,0.0002999709],"domain_scores_gemma":[0.9993724,0.0001099327,0.00005425259,0.0002553003,0.0001206913,0.00008741872],"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":[0.00008383841,0.0001157421,0.00002559176,0.0000532094,0.00007261265,2.757772e-7,0.00002666101,0.9513468,0.03079564,0.003652674,0.0002434439,0.01358352],"study_design_scores_gemma":[0.004626109,0.0002451088,0.0003646571,0.000009301746,0.00007454172,0.000001984849,0.00001605219,0.9923235,0.001401553,0.0004405376,0.0002979511,0.0001986579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009234581,0.0008291337,0.9853777,0.0001043037,0.0001035327,0.001233698,0.00001936871,0.0002615337,0.002836157],"genre_scores_gemma":[0.9912799,0.00002895472,0.007749137,0.0001697121,0.00009145973,0.0004407085,0.0000319713,0.0000255816,0.000182562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9820454,"threshold_uncertainty_score":0.722219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003947423131398651,"score_gpt":0.1927736477961169,"score_spread":0.1888262246647183,"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."}}