{"id":"W4413925965","doi":"10.1109/icra55743.2025.11127426","title":"Point and Go: Intuitive Reference Frame Reallocation in Mode Switching for Assistive Robotics","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Artificial intelligence; Frame (networking); Robotics; Point (geometry); Reference frame; Frame of reference; Mode (computer interface); Computer vision; Robot; Human–computer interaction; Mathematics; Telecommunications; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001989253,0.0002654631,0.0003509829,0.0001749954,0.00003548363,0.00007609565,0.0001872379,0.0003465463,0.000008934169],"category_scores_gemma":[0.0001098979,0.0002652963,0.0000461778,0.00008058358,0.00001753005,0.0000699787,0.0002255939,0.0006627606,0.000002655344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002117676,"about_ca_system_score_gemma":0.00006491523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006671898,"about_ca_topic_score_gemma":0.0009317952,"domain_scores_codex":[0.9988534,0.00002422229,0.0003782681,0.0004165852,0.0001026384,0.0002249224],"domain_scores_gemma":[0.9993144,0.0001650649,0.00005387493,0.0003001769,0.0001138631,0.00005265708],"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":[0.00001235873,0.00001754886,0.0001385006,0.0005581412,0.00005096228,0.000001417839,0.0006730958,0.930907,0.0001562762,0.04509042,0.000133045,0.02226123],"study_design_scores_gemma":[0.0001012445,0.00002028868,0.001236345,0.0006501444,0.00002594282,8.227937e-7,0.0001581414,0.9640681,0.001262534,0.03204256,0.0001035164,0.0003303783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004634831,0.0002348916,0.9842309,0.0001494188,0.0003224867,0.0006424513,0.00005521551,0.0001430462,0.009586774],"genre_scores_gemma":[0.936269,0.0007576695,0.06200605,0.00006813695,0.00004523033,0.0001831491,0.00009622529,0.00002621635,0.0005483428],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9316341,"threshold_uncertainty_score":0.9999799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02981731602237318,"score_gpt":0.2948015506528248,"score_spread":0.2649842346304516,"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."}}