{"id":"W4401357997","doi":"10.1117/12.3013754","title":"A novel bioinspired tracking control method for mobile robots with the adaptive sliding innovation filter","year":2024,"lang":"en","type":"article","venue":"","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Control theory (sociology); Mobile robot; Tracking (education); Filter (signal processing); Computer science; Jump; Constraint (computer-aided design); Robot; Control (management); Robust control; Control engineering; Adaptive control; Engineering; Control system; Artificial intelligence; Computer vision","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":[0.000294213,0.0001361324,0.0001443273,0.0001074505,0.00007027863,0.0001327677,0.00008335541,0.00004901211,0.00004458003],"category_scores_gemma":[0.00001309149,0.00008075175,0.00005424857,0.0004021497,0.000009913202,0.0001709758,0.000005441404,0.0001131531,0.00001043911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000047009,"about_ca_system_score_gemma":0.00001983655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007455886,"about_ca_topic_score_gemma":0.00001420075,"domain_scores_codex":[0.9993542,0.00001540508,0.0001800111,0.0001597637,0.0001018787,0.0001887409],"domain_scores_gemma":[0.9994851,0.0002670112,0.00001895883,0.0001197664,0.00008791879,0.00002119365],"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":[0.00004752102,0.00002141971,0.000005072812,0.00006684195,0.000289584,0.000002272363,0.0006290956,0.7498244,0.09833951,0.06128712,0.001702092,0.08778504],"study_design_scores_gemma":[0.0009847,0.00008344693,0.00005186219,0.00004688246,0.00005212265,0.00001012535,0.0002469634,0.9910519,0.004090994,0.0001018517,0.003143029,0.0001361452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005257184,0.0001411043,0.9955044,0.0007572411,0.0002177959,0.0008209882,0.00001160608,0.0004654294,0.00155575],"genre_scores_gemma":[0.9313708,0.00000131273,0.06710884,0.0003889453,0.0001394084,0.000502952,0.000005796047,0.00004025513,0.000441718],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.930845,"threshold_uncertainty_score":0.3292961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02469481212208354,"score_gpt":0.2598688721725733,"score_spread":0.2351740600504898,"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."}}