{"id":"W2149159441","doi":"10.1109/cira.2003.1222320","title":"Analysis and optimization of a non-time based motion controller for a nonholonomic mobile robot","year":2004,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Guelph","funders":"","keywords":"Nonholonomic system; Control theory (sociology); Controller (irrigation); Computer science; Mobile robot; Tracking error; Motion control; Teleoperation; Genetic algorithm; Robot; Control engineering; Engineering; Artificial intelligence; Control (management)","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":[0.0002278347,0.0000847173,0.0002396335,0.0002341537,0.00004415135,0.00004071644,0.0001773182,0.00004653069,0.000007096314],"category_scores_gemma":[0.00002214972,0.00007671174,0.000073909,0.0003703109,0.00002285425,0.0001757981,0.0000289646,0.0000254734,0.000003961849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003282136,"about_ca_system_score_gemma":0.00004289702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004790878,"about_ca_topic_score_gemma":7.999278e-7,"domain_scores_codex":[0.9993043,0.00001757219,0.0002022327,0.0002576775,0.00008899787,0.0001292158],"domain_scores_gemma":[0.9994647,0.00008433447,0.0001099772,0.0002117955,0.00008244698,0.0000467481],"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":[0.000008048918,0.00003474007,0.0002304252,0.000004883725,0.0000607093,4.507105e-7,0.0000878019,0.9968054,0.0005495878,0.00003292358,0.000005515707,0.002179565],"study_design_scores_gemma":[0.001621632,0.0001458904,0.001546824,0.000006112324,0.00006897998,9.574758e-7,0.000004433783,0.9951272,0.001353732,0.0000385872,0.000001369134,0.00008428344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002995482,0.00001133951,0.9963911,0.0001107049,0.00003014896,0.0003508871,0.000004962035,0.00005374051,0.00005163754],"genre_scores_gemma":[0.3116381,5.743789e-7,0.6882225,0.00004969561,0.000007691415,0.00003778539,0.00001142237,0.000003517759,0.00002874414],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3086426,"threshold_uncertainty_score":0.3128214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007544560716962713,"score_gpt":0.2340714195890209,"score_spread":0.2265268588720582,"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."}}