{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004506262,0.0003056558,0.0006188408,0.0003173294,0.0003833298,0.0007324319,0.001653564,0.0001779501,0.000004272845],"category_scores_gemma":[0.0005323832,0.0002024098,0.0003279578,0.0003861283,0.00007534752,0.0006224732,0.0001444053,0.0008184247,0.000009360178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002406008,"about_ca_system_score_gemma":0.0005302706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008184338,"about_ca_topic_score_gemma":6.712858e-7,"domain_scores_codex":[0.9967018,0.0003425676,0.001386359,0.0003438274,0.0007118316,0.0005136048],"domain_scores_gemma":[0.9956519,0.00127977,0.001458211,0.0006432487,0.0007631441,0.0002037248],"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":[0.00001501024,0.00006484604,0.0002451366,0.00005320543,0.0001071668,0.00004674112,0.00247904,0.9834246,0.002095876,0.002596881,0.000455883,0.008415615],"study_design_scores_gemma":[0.0002507105,0.0003843507,0.00009671874,0.0004000402,0.00007083873,0.002277483,0.001032847,0.9924368,0.0009848,0.0006892515,0.001141787,0.0002343213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003700427,0.001326241,0.9816791,0.0001861737,0.01230491,0.0006853348,0.00000196691,0.00006047422,0.00005535999],"genre_scores_gemma":[0.1648127,0.000006840875,0.8336049,0.00008567297,0.001288716,0.00003333457,0.000002259349,0.00003549001,0.0001301553],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1611122,"threshold_uncertainty_score":0.8254031,"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."}}