{"id":"W2154859766","doi":"10.1017/s0263574708004876","title":"Trajectory and temporal planning of a wheeled mobile robot on an uneven surface","year":2008,"lang":"en","type":"article","venue":"Robotica","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Mobile robot; Trajectory; Kinematics; Motion planning; Computer science; Robot; Simulation; Control theory (sociology); Path (computing); Artificial intelligence; Physics; Control (management)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001922882,0.0002897711,0.0001891612,0.0003125514,0.0003909652,0.0003573721,0.000365266,0.0003234725,0.002296412],"category_scores_gemma":[0.0005912725,0.000129015,0.0002480612,0.0002702165,0.000421052,0.0002510075,0.0004143072,0.0002458158,0.0001987769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005755082,"about_ca_system_score_gemma":0.0008592685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01641145,"about_ca_topic_score_gemma":0.01123762,"domain_scores_codex":[0.999898,0.00001619274,0.000005270676,0.00001930517,0.00003754816,0.00002371043],"domain_scores_gemma":[0.9997858,0.00008362633,0.00002473553,0.00002423876,0.00005125726,0.00003027211],"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":[0.0001004627,0.00002909003,0.001363664,0.00003627446,0.000007424726,0.0003099467,0.0001178352,0.9525656,0.01105033,0.004023487,0.0002826773,0.03011312],"study_design_scores_gemma":[0.000006628641,0.00003489714,0.0004209381,0.000003958762,0.000002199574,0.00001639489,0.00004291341,0.9961278,0.002040211,0.0007354738,0.0005636205,0.000004952083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3556801,0.00005496137,0.6366992,0.0001221152,0.00003177518,0.000117676,0.000161487,0.0008839839,0.006248698],"genre_scores_gemma":[0.8940755,0.00003610293,0.1032874,0.000007774038,0.000001915074,0.00006081187,0.0001155669,0.00002635575,0.002388461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01641145,"threshold_uncertainty_score":0.03263187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03443956407640458,"score_gpt":0.2732533099815,"score_spread":0.2388137459050955,"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."}}