{"id":"W2169422916","doi":"10.1109/iros.2008.4651035","title":"Occlusion-free path planning with a probabilistic roadmap","year":2008,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Visibility; Probabilistic roadmap; Computer vision; Motion planning; Probabilistic logic; Computer science; Artificial intelligence; Path (computing); Line-of-sight; Robot; Line (geometry); Mathematics; Geography; Engineering; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005721803,0.0009435383,0.0007603003,0.0008162759,0.0006459597,0.0007721974,0.001383852,0.0009668087,0.001999411],"category_scores_gemma":[0.002094649,0.0007548871,0.0007793783,0.0008438086,0.0006749253,0.001457527,0.001618535,0.0009963845,0.0005159461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006935903,"about_ca_system_score_gemma":0.001619882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00706952,"about_ca_topic_score_gemma":0.008815408,"domain_scores_codex":[0.9994656,0.00008835169,0.00002278222,0.0001431166,0.0002263245,0.00005377923],"domain_scores_gemma":[0.9992822,0.0003440384,0.00008334095,0.0001268024,0.0001264902,0.00003714495],"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":[0.00008017318,0.0000540467,0.0004887523,0.0000872364,0.00004035792,0.0000847027,0.0001005462,0.845347,0.004842039,0.008822752,0.001452536,0.1385999],"study_design_scores_gemma":[0.00001468071,0.0000291082,0.0001086588,0.000005760861,0.000007821287,0.00003427015,0.000008872362,0.9918423,0.001681088,0.004526802,0.001729632,0.00001104369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005296412,0.00006994142,0.9928867,0.00003762744,0.00001009798,0.00002987567,0.00003845481,0.001038468,0.0005924345],"genre_scores_gemma":[0.1709639,0.000152746,0.8268272,0.00003713338,0.0000134247,0.0001863525,0.0002761618,0.0002287074,0.001314372],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00706952,"threshold_uncertainty_score":0.01405674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02427298141454143,"score_gpt":0.2322456733063846,"score_spread":0.2079726918918432,"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."}}