{"id":"W7131136634","doi":"10.1109/roboticcc68732.2025.00016","title":"A Route Planning Approach with RAG-based LLM and FAISS for Robotic Guide","year":2025,"lang":"","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian University Press","keywords":"Geospatial analysis; Graph; Route planning; Automated planning and scheduling; Natural language; Motion planning; Path (computing); Point (geometry)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000527114,0.0009019189,0.0005815069,0.001436272,0.0005731198,0.001054102,0.001843469,0.0008828653,0.00779096],"category_scores_gemma":[0.001676395,0.0003804066,0.0009931731,0.0008339901,0.0004775749,0.001487544,0.001379557,0.0007431117,0.002969896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000795769,"about_ca_system_score_gemma":0.0009357513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01060623,"about_ca_topic_score_gemma":0.01660305,"domain_scores_codex":[0.9995226,0.00008625851,0.00003436114,0.0001620477,0.0001532739,0.00004155669],"domain_scores_gemma":[0.999567,0.0001399937,0.00003391145,0.0001225307,0.0001067506,0.00002978356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004551015,0.0003463855,0.002110277,0.0004889327,0.0001319558,0.0006039319,0.000935166,0.1079841,0.04512507,0.02420986,0.03034975,0.7872594],"study_design_scores_gemma":[0.00005486762,0.0001447422,0.0005886591,0.00002211862,0.00004744151,0.0003293731,0.0002412762,0.9260975,0.02764193,0.01081551,0.03395683,0.00005967166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01097927,0.0001325638,0.933837,0.0001216727,0.00003326632,0.0002033806,0.0008041567,0.05003333,0.003855315],"genre_scores_gemma":[0.1501251,0.00009956125,0.8404265,0.0001298278,0.00001987177,0.0002467913,0.002866914,0.00137009,0.004715415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01060623,"threshold_uncertainty_score":0.02606332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02491510225705924,"score_gpt":0.2876241209121913,"score_spread":0.2627090186551321,"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."}}