{"id":"W4385420139","doi":"10.3390/vehicles5030049","title":"Real-Time Hardware-in-the-Loop Emulation of Path Tracking in Low-Cost Agricultural Robots","year":2023,"lang":"en","type":"article","venue":"Vehicles","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Ministère des relations internationales et de la Francophonie","keywords":"Emulation; Inertial measurement unit; Robot; Computer science; Simulation; Real-time computing; Servo; MATLAB; Encoder; Path (computing); Servomotor; Rate gyro; Tracking (education); Control engineering; Embedded system; Engineering; Artificial intelligence; Gyroscope","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000209025,0.0001015594,0.0001643834,0.0001179137,0.00002142316,0.00002350188,0.0001303115,0.00006147537,0.00000645478],"category_scores_gemma":[0.00002336659,0.00007836203,0.00005194241,0.0004329973,0.00001082343,0.0001299304,0.00001683297,0.0001052455,0.00004442943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003767728,"about_ca_system_score_gemma":0.000005984105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001088541,"about_ca_topic_score_gemma":0.0002197677,"domain_scores_codex":[0.9992645,0.00002923186,0.0002405214,0.0001123958,0.0001440788,0.0002092581],"domain_scores_gemma":[0.9996799,0.0001232234,0.00002852366,0.0001247187,0.00002201677,0.0000216836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000007075017,0.00002335533,0.004926547,0.00005630519,0.000006646529,0.00001909509,0.000679052,0.9140218,0.06492498,0.00009403233,0.0001340428,0.01510701],"study_design_scores_gemma":[0.0003339112,0.000007667283,0.5790056,0.0001031953,0.000003924803,0.00000149237,0.0001366583,0.4198099,0.0003839175,0.000107034,0.00001361165,0.00009311567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987535,0.00005859107,0.00006914787,0.00009508042,0.00007001674,0.0002113914,0.000008872958,0.0001420708,0.0005912644],"genre_scores_gemma":[0.9996555,0.00008964972,0.00006558999,0.000004523939,0.00004407721,0.00002648884,0.00003873589,0.00001367986,0.00006171783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.574079,"threshold_uncertainty_score":0.3195511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009924921821698662,"score_gpt":0.2242422098652312,"score_spread":0.2143172880435326,"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."}}