{"id":"W2098125719","doi":"10.1007/s10846-010-9394-y","title":"Path Planning for Autonomous Mobile Robots Using the Boundary Integral Equation Method","year":2010,"lang":"en","type":"article","venue":"Journal of Intelligent & Robotic Systems","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; York University; National Research Council Canada","funders":"","keywords":"Mobile robot; Motion planning; Boundary (topology); Computer science; Path (computing); Robot; Control engineering; Mathematics; Mathematical analysis; Engineering; Artificial intelligence; Computer network","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":[0.0004109269,0.0003488972,0.0009320777,0.0004908317,0.0005470557,0.0006501098,0.000989642,0.0009016409,0.002063647],"category_scores_gemma":[0.001144137,0.0005065773,0.0005126868,0.0004770056,0.0007086152,0.001040943,0.0009907094,0.001216438,0.0003154282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005859254,"about_ca_system_score_gemma":0.001125339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00824453,"about_ca_topic_score_gemma":0.004482791,"domain_scores_codex":[0.9998475,0.00002673102,0.000004870263,0.00002277426,0.00008258608,0.000015463],"domain_scores_gemma":[0.9997174,0.0001589157,0.00002006481,0.00001483896,0.00007182717,0.00001694424],"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":[0.00005154529,0.00003626778,0.0003509314,0.00008012665,0.00002735068,0.00006379055,0.000112887,0.8907681,0.003509615,0.04996934,0.001279363,0.05375076],"study_design_scores_gemma":[0.000006490798,0.000005183564,0.00002845615,0.000003869027,0.00000225747,0.000006718895,0.000004562307,0.9934713,0.0002031456,0.005846621,0.00041823,0.000003214208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006375945,0.0001971446,0.99064,0.0001224718,0.00004539889,0.00001883474,0.00001868475,0.0001130787,0.002468487],"genre_scores_gemma":[0.4878454,0.0004549272,0.5043673,0.00009710535,0.00004562065,0.0002704257,0.0001216981,0.0001841857,0.006613348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00824453,"threshold_uncertainty_score":0.01639313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06582130135411542,"score_gpt":0.3483130411345789,"score_spread":0.2824917397804635,"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."}}