{"id":"W2740675346","doi":"10.5897/jmer.9000032","title":"Kinematic model of three wheeled mobile robot","year":2011,"lang":"en","type":"article","venue":"Mechanical Engineering Research","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kinematics; Axle; Mobile robot; Robot; Robot kinematics; Computer science; Engineering; Work (physics); Key (lock); Simulation; Control engineering; Control theory (sociology); Artificial intelligence; Mechanical engineering; Control (management); Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001493027,0.0007299675,0.0005638677,0.0005075944,0.0005086574,0.0008384231,0.001111444,0.0008809789,0.006804176],"category_scores_gemma":[0.0002249449,0.0002368574,0.0005737689,0.0003952619,0.0005546691,0.0007311542,0.0007790661,0.000595964,0.002077899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004521872,"about_ca_system_score_gemma":0.0006346835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007466182,"about_ca_topic_score_gemma":0.003348811,"domain_scores_codex":[0.9998415,0.00002809101,0.00001022636,0.00003913381,0.00006085664,0.00002009282],"domain_scores_gemma":[0.9999129,0.00001230758,0.00002953228,0.00001097092,0.00002700293,0.000007239144],"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":[0.00007872477,0.0000486895,0.001100966,0.0002735752,0.0000473906,0.0009135121,0.0003331324,0.8211126,0.01700169,0.127094,0.001928305,0.03006739],"study_design_scores_gemma":[0.00002854799,0.0001089529,0.0004779076,0.00003357707,0.00001945556,0.0002327146,0.00007760614,0.9628197,0.001210038,0.01635617,0.01861061,0.00002473329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02486197,0.0008554981,0.9410589,0.0003441073,0.0001593666,0.000121415,0.000460162,0.0007837898,0.03135472],"genre_scores_gemma":[0.8433515,0.002192806,0.09895319,0.0001848675,0.00012438,0.0005183382,0.00106128,0.00008612638,0.05352744],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007466182,"threshold_uncertainty_score":0.02276224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07284439065022616,"score_gpt":0.2682036142338525,"score_spread":0.1953592235836264,"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."}}