{"id":"W1972768104","doi":"10.1142/s1469026811003148","title":"VIRTUAL INSTRUMENTATION BASED SYSTEMS FOR REAL-TIME PATH PLANNING OF MOBILE ROBOTS USING BIO-INSPIRED NEURAL NETWORKS","year":2011,"lang":"en","type":"article","venue":"International Journal of Computational Intelligence and Applications","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Artificial neural network; Instrumentation (computer programming); Motion planning; Robot; Path (computing); Software; Mobile robot; Artificial intelligence; Trajectory; Controller (irrigation); Real-time computing; 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":[0.0003772567,0.0001368338,0.0002248683,0.0002981662,0.0001007063,0.00009756452,0.0006898997,0.00006006219,0.000004457365],"category_scores_gemma":[0.00002701063,0.0001338551,0.00009297256,0.0002333437,0.0000874441,0.0004819494,0.00006401927,0.0001049769,0.00000144171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006406219,"about_ca_system_score_gemma":0.0001423967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003113697,"about_ca_topic_score_gemma":6.908147e-8,"domain_scores_codex":[0.9983556,0.00005229564,0.0008074746,0.0002078497,0.0004329652,0.0001438132],"domain_scores_gemma":[0.9974738,0.0004116783,0.0008674872,0.0001247306,0.001030664,0.00009162161],"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":[0.0000326924,0.0001044235,0.0005915262,0.000007678219,0.00006548126,0.000004709815,0.0003761243,0.9725938,0.0002432607,0.009044764,0.00001964685,0.01691593],"study_design_scores_gemma":[0.0002359245,0.0002449678,0.001027805,0.0001080922,0.00002123102,0.0001057594,0.000163778,0.994163,0.0005799652,0.003203579,0.00002636118,0.0001195511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.021972,0.0001692507,0.9770185,0.0000406876,0.0003956497,0.0003177395,0.00002092288,0.00002502955,0.00004023323],"genre_scores_gemma":[0.7308913,0.00002002715,0.2688088,0.00004131839,0.0001600781,0.00003890004,0.00002575883,0.000008713204,0.000005073519],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7089193,"threshold_uncertainty_score":0.5458453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05692463903864865,"score_gpt":0.3222258162242942,"score_spread":0.2653011771856456,"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."}}