{"id":"W2062632572","doi":"10.1109/ccece.2008.4564507","title":"Leader-follower formation control for a team of mobile robots using an acoustic array","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Omnidirectional antenna; Mobile robot; Robot; Computer science; Controller (irrigation); Kinematics; Control theory (sociology); Range (aeronautics); Nonholonomic system; Control (management); Engineering; Artificial intelligence; Antenna (radio); Physics; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002976087,0.0003164089,0.000255992,0.0001994184,0.0004072304,0.0003888658,0.0004396141,0.0005224718,0.001297581],"category_scores_gemma":[0.0005981429,0.0001771355,0.0002930829,0.0001162346,0.0004877502,0.000384076,0.0006018701,0.0003625061,0.0001559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002862923,"about_ca_system_score_gemma":0.0004801221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004874146,"about_ca_topic_score_gemma":0.003039035,"domain_scores_codex":[0.9998837,0.00003177716,0.00000552014,0.00002215439,0.00003451934,0.000022331],"domain_scores_gemma":[0.9997748,0.00008276858,0.00005161444,0.00001597582,0.00004438212,0.00003062134],"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":[0.00005134246,0.00003535567,0.0005230485,0.00001624666,0.00001218248,0.00006125931,0.00008785725,0.9890718,0.004624558,0.001974785,0.0001003738,0.003441083],"study_design_scores_gemma":[0.00002262683,0.00009411306,0.0001500184,0.000001496755,0.000004791408,0.000008537781,0.00002375162,0.9982198,0.0007067169,0.0005610425,0.0002034978,0.000003625353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3839184,0.0000916975,0.6048427,0.0002141827,0.00006160637,0.00007775293,0.00004000645,0.000359848,0.01039382],"genre_scores_gemma":[0.9823732,0.00003160679,0.01492978,0.0000190446,0.000005696228,0.00006929056,0.00001655827,0.00000693833,0.002547767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004874146,"threshold_uncertainty_score":0.009691536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02337474366153486,"score_gpt":0.2110875525489611,"score_spread":0.1877128088874262,"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."}}