{"id":"W4312469512","doi":"10.1109/icses55317.2022.9914146","title":"Structural Design and Implementation of Omni-Directional Robot Based on Swerve Drive","year":2022,"lang":"en","type":"article","venue":"2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Robot; Holonomic; Mobile robot; Omnidirectional antenna; Computer science; Modular design; Terrain; Control engineering; Simulation; Artificial intelligence; Engineering; Telecommunications","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":[0.0001753417,0.0003327248,0.0002623866,0.0004195867,0.0002483196,0.0003324496,0.0009590668,0.0004856645,0.002961114],"category_scores_gemma":[0.0001971226,0.0002324751,0.0002730167,0.0001197771,0.0002476996,0.000319343,0.0003323567,0.0002432985,0.001615674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002628471,"about_ca_system_score_gemma":0.0005026971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008742015,"about_ca_topic_score_gemma":0.0009800816,"domain_scores_codex":[0.9997439,0.00001696826,0.00001217542,0.00004741128,0.0001501099,0.0000294526],"domain_scores_gemma":[0.9998294,0.00001156605,0.00003017439,0.0000265579,0.00007802236,0.00002425369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002619381,0.0002292579,0.00477704,0.0008034511,0.00005265354,0.001048718,0.0004645934,0.03560758,0.583217,0.0231118,0.008372485,0.3420534],"study_design_scores_gemma":[0.0001668582,0.003762269,0.01376464,0.0002243125,0.00009563722,0.003720669,0.0003083647,0.3324095,0.263385,0.003498218,0.3784541,0.0002103829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07647064,0.0004828681,0.8730186,0.0002859431,0.0002408413,0.0003609493,0.0001875518,0.002949799,0.04600289],"genre_scores_gemma":[0.6320646,0.000444166,0.3290665,0.00015418,0.0000332912,0.0003129816,0.0003146141,0.0001269583,0.03748255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002961114,"threshold_uncertainty_score":0.009905875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02919039314257036,"score_gpt":0.2873002701778666,"score_spread":0.2581098770352962,"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."}}