{"id":"W4416296785","doi":"10.18280/jesa.580917","title":"Design of New Hybrid Controller Mixing TD3 with NNFZ and SMC for Mobile Robot Trajectory Tracking","year":2025,"lang":"","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Trajectory; Mobile robot; Controller (irrigation); Tracking (education); Robot; Control system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001294076,0.0008186174,0.001763856,0.0007254363,0.0005517894,0.0006090448,0.0005070348,0.0002118289,0.0000563359],"category_scores_gemma":[0.000269682,0.0007309299,0.0004238297,0.000450659,0.000217689,0.0006914173,0.00009021663,0.000722399,0.000004165592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003939566,"about_ca_system_score_gemma":0.0006354747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005263855,"about_ca_topic_score_gemma":0.00002411163,"domain_scores_codex":[0.9957456,0.000333355,0.001839729,0.0005662345,0.0005111857,0.001003887],"domain_scores_gemma":[0.9965172,0.001346134,0.0008038886,0.0003883881,0.0004937237,0.0004506073],"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":[0.0005475233,0.00009437436,0.0002493947,0.001298496,0.00118324,0.00007068229,0.0006505928,0.5924236,0.007873959,0.0001317208,0.0005356575,0.3949408],"study_design_scores_gemma":[0.01017657,0.001376014,0.0272596,0.004860385,0.001159084,0.0009768112,0.000326149,0.9495124,0.0009493182,0.002216455,0.0004063735,0.0007808118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0545904,0.0420014,0.8997549,0.00009226276,0.0008668694,0.002170664,0.00003726251,0.0001986429,0.0002876276],"genre_scores_gemma":[0.9456733,0.002179984,0.05006068,0.00005529204,0.0003703268,0.0001008436,0.00000307331,0.0001809964,0.001375467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8910829,"threshold_uncertainty_score":0.9995142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01508152919445327,"score_gpt":0.2380954476034432,"score_spread":0.2230139184089899,"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."}}