{"id":"W4391768842","doi":"10.1109/itsc57777.2023.10420846","title":"Risk-Aware Navigation for Mobile Robots in Unknown 3D Environments","year":2023,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Christian Studies; University of Toronto","funders":"European Commission","keywords":"Computer science; Context (archaeology); Mobile robot; Robot; Mobile robot navigation; Collision avoidance; Key (lock); Function (biology); Plan (archaeology); Human–computer interaction; Harm; Energy (signal processing); Collision; Navigation system; Artificial intelligence; Real-time computing; Computer security; Robot control","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":[0.0003876429,0.0001014377,0.0001145176,0.0001107674,0.00007962684,0.0000484468,0.0004299776,0.00006099362,0.000005608631],"category_scores_gemma":[0.00003160221,0.00009623479,0.00003360832,0.0004318942,0.0000157354,0.0002652247,0.0001450443,0.00009187872,0.0003654471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006205172,"about_ca_system_score_gemma":0.00002030722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004287203,"about_ca_topic_score_gemma":0.000002339415,"domain_scores_codex":[0.9989067,0.00004491064,0.0001906211,0.0003578821,0.0002019896,0.000297841],"domain_scores_gemma":[0.9993517,0.000163005,0.0000676207,0.0003517012,0.000009709895,0.00005623536],"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":[0.000003977264,0.00009343373,0.01079301,0.00002192257,0.00001494237,0.00004280583,0.001239455,0.8550089,0.0004056818,0.0008780023,0.002670947,0.1288269],"study_design_scores_gemma":[0.000353136,0.00006721394,0.01847985,0.00002179136,0.000002230284,0.00000250854,0.00002902107,0.9780303,0.0004940914,0.0008137355,0.001574824,0.0001313446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02564786,0.00001566531,0.972939,0.0001054061,0.000366896,0.0004246656,0.000006579644,0.0002626143,0.0002313504],"genre_scores_gemma":[0.2705504,0.00003586003,0.7211452,0.0001467429,0.0001179963,0.0006223944,0.000130335,0.0000329063,0.007218189],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2517937,"threshold_uncertainty_score":0.4697205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753217747400495,"score_gpt":0.272625226971923,"score_spread":0.2550930494979181,"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."}}