{"id":"W4316661137","doi":"10.1109/tac.2023.3237484","title":"Local Topology Inference of Mobile Robotic Networks Under Formation Control","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Unobservable; Estimator; Mobile robot; Topology (electrical circuits); Robot; Network topology; Range (aeronautics); Inference; Computer science; Convergence (economics); Control theory (sociology); Mathematics; Artificial intelligence; Control (management); Engineering","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":[0.001251468,0.0006653938,0.0008003787,0.0009458551,0.0004777543,0.0009181643,0.00143835,0.0006951096,0.000668629],"category_scores_gemma":[0.01003985,0.0004554813,0.0005734554,0.0005991725,0.0009937315,0.001904089,0.001585685,0.001052035,0.0002139396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007866278,"about_ca_system_score_gemma":0.0007861032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002896273,"about_ca_topic_score_gemma":0.002275713,"domain_scores_codex":[0.9993613,0.0001643389,0.00002970678,0.0002047613,0.0001837065,0.0000562464],"domain_scores_gemma":[0.9966947,0.001710771,0.0006631706,0.0003330331,0.0004584952,0.0001397899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005225077,0.00001486333,0.001243875,0.00004425698,0.00002106097,0.00006056168,0.00005694677,0.9653046,0.001839652,0.00608508,0.000223742,0.02505312],"study_design_scores_gemma":[0.000002293508,0.0000114922,0.0001568895,0.000002616962,0.000002921707,0.00001241745,0.000007979193,0.9965014,0.0004992523,0.002722761,0.00007671383,0.000003163539],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02733021,0.0001244742,0.9716239,0.00008047749,0.00001065424,0.00002069302,0.00003065753,0.0002209697,0.0005579781],"genre_scores_gemma":[0.9150906,0.0002889733,0.08306704,0.00005193799,0.00003602017,0.00009799695,0.0002059289,0.00006863954,0.001092846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002896273,"threshold_uncertainty_score":0.0066185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573479941456693,"score_gpt":0.2577132828098427,"score_spread":0.2419784833952758,"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."}}