{"id":"W4416070655","doi":"10.48550/arxiv.2505.20290","title":"EgoZero: Robot Learning from Smart Glasses","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Naval Research; York University; National Science Foundation","keywords":"Robot; Robot learning; Human–robot interaction; Scalability; Robotics; Programming by demonstration; Social robot","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003937316,0.0005520236,0.0006170747,0.0002531723,0.0003040512,0.0005294293,0.003191264,0.0004848618,0.000116008],"category_scores_gemma":[0.0005454928,0.0005857836,0.0002778386,0.0003988546,0.00008485375,0.0003463616,0.005896949,0.002250216,0.0008023047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001880396,"about_ca_system_score_gemma":0.0004268628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000618699,"about_ca_topic_score_gemma":0.00001940542,"domain_scores_codex":[0.9965064,0.000276892,0.0006707174,0.001304638,0.0006057103,0.0006356367],"domain_scores_gemma":[0.9965848,0.0005336387,0.000508077,0.002009255,0.0002048721,0.000159405],"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":[0.00000333815,0.00001897421,0.4078862,0.0000594707,0.0001164309,0.00002217229,0.0003513379,0.5890992,0.0001212924,0.0006118219,0.0007323473,0.0009774104],"study_design_scores_gemma":[0.0006039542,0.0001284882,0.3381525,0.0009960487,0.0001271628,0.000003480084,0.00007163896,0.6139092,0.002085784,0.001128953,0.04140708,0.001385737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07441001,0.0003363877,0.910122,0.0009896163,0.003730858,0.0003149046,0.00000356582,0.0009265724,0.009166069],"genre_scores_gemma":[0.9382875,0.000236617,0.03952568,0.0007182446,0.0004124343,0.00005707235,0.0001277196,0.00004229593,0.02059244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8705963,"threshold_uncertainty_score":0.9999757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05367968038562613,"score_gpt":0.2787033435342162,"score_spread":0.2250236631485901,"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."}}