{"id":"W2791636136","doi":"10.1109/icamechs.2017.8316535","title":"Real-time path planning and following for nonholonomic unmanned ground vehicles","year":2017,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Motion planning; Unmanned ground vehicle; Path (computing); Planner; Holonomic; Nonholonomic system; Computer science; Kinematics; Artificial intelligence; Real-time computing; Robot; Mobile robot; Computer network; Physics","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":[0.000482067,0.0001482094,0.0002176784,0.00005816127,0.0007528804,0.0007116758,0.0009082433,0.00006848175,0.000001032908],"category_scores_gemma":[0.00009823182,0.0001367791,0.00006735075,0.00002854876,0.00004460552,0.0007781843,0.0003292205,0.00006864847,0.00002858867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002786629,"about_ca_system_score_gemma":0.00003696168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008662208,"about_ca_topic_score_gemma":3.710989e-7,"domain_scores_codex":[0.9988906,0.00002199699,0.0001772866,0.0004426833,0.000119115,0.0003482579],"domain_scores_gemma":[0.998784,0.0002097149,0.0001371169,0.0007411989,0.00002217242,0.0001057765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004621744,0.0006367107,0.2611988,0.00049475,0.00153229,0.002900186,0.02736441,0.01025259,0.2044497,0.1095124,0.04704751,0.3341484],"study_design_scores_gemma":[0.001041221,0.0001918702,0.1474614,0.0001171274,0.00002141514,0.00003486639,0.00005301605,0.8457704,0.0008959809,0.003673568,0.0003079717,0.0004311636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.643935,0.0000611621,0.3505018,0.0006854888,0.0005660658,0.0002714511,0.000003312766,0.0003050116,0.003670717],"genre_scores_gemma":[0.5179096,0.000002823085,0.4808566,0.00006995109,0.00009588899,0.00001763113,0.000002943921,0.00001451572,0.001029972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8355178,"threshold_uncertainty_score":0.6862706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03067835445839135,"score_gpt":0.2940552985545234,"score_spread":0.2633769440961321,"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."}}