{"id":"W2014864176","doi":"10.1117/12.910074","title":"Way-point navigation for a skid-steer vehicle in unknown environments","year":2012,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tree traversal; Traverse; Motion planning; Computer science; Real-time computing; Skid (aerodynamics); Global Positioning System; Planner; Unmanned ground vehicle; Mobile robot; Robot; Path (computing); Compass; Point (geometry); Simulation; Artificial intelligence; Engineering; Algorithm","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001127172,0.000288174,0.0003577836,0.0001101012,0.00007735028,0.000107409,0.00130808,0.0001854935,0.000002456831],"category_scores_gemma":[0.000421342,0.0002538349,0.0003968621,0.0003326365,0.0001209043,0.001343751,0.0002646874,0.0002733918,0.000003417328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002682473,"about_ca_system_score_gemma":0.00002251215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007186577,"about_ca_topic_score_gemma":3.047847e-8,"domain_scores_codex":[0.997657,2.499247e-8,0.0006745738,0.000406986,0.0006656541,0.0005957866],"domain_scores_gemma":[0.9987967,0.0002019606,0.0003510596,0.00008870255,0.0004048333,0.0001567364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004408589,0.0003151176,0.001962745,0.0003427621,0.0002031243,1.23348e-7,0.001148758,0.0008751288,0.3731618,0.619207,0.001481071,0.001258353],"study_design_scores_gemma":[0.003282567,0.0005885399,0.01211439,0.0007897749,0.0001243258,0.0000402973,0.0009680375,0.7559269,0.2123098,0.005485561,0.007445,0.0009247757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9904466,0.000102354,0.005941947,0.001742035,0.0004249865,0.000706053,0.0000191758,0.00007332467,0.0005435631],"genre_scores_gemma":[0.4240835,0.00002144988,0.5748313,0.0001163284,0.0003889655,0.0003066925,0.00001067259,0.00004644915,0.000194636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7550517,"threshold_uncertainty_score":0.9999914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325118197449504,"score_gpt":0.2335686827156998,"score_spread":0.2203175007412048,"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."}}