{"id":"W4390905236","doi":"10.1109/lra.2024.3354617","title":"Whole-Body Intuitive Physical Human-Robot Interaction With Flexible Robots Using Non-Collocated Proprioceptive Sensing","year":2024,"lang":"en","type":"article","venue":"IEEE Robotics and Automation Letters","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Robot; Computer science; Jacobian matrix and determinant; Robot end effector; Encoder; Deflection (physics); Control theory (sociology); Simulation; Rotary encoder; Serial manipulator; Control engineering; Parallel manipulator; Engineering; Control (management); Artificial intelligence; Physics; Mathematics","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":[0.00007241596,0.0002057748,0.0002087581,0.0001911195,0.0001428342,0.0003542073,0.00003855868,0.00005757928,0.000003801583],"category_scores_gemma":[0.000003098266,0.0001816474,0.000039734,0.0002700288,0.00005074958,0.0004139138,0.000009341907,0.0001930604,0.00003381381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001653448,"about_ca_system_score_gemma":0.0000216049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002870266,"about_ca_topic_score_gemma":0.000005893625,"domain_scores_codex":[0.9991434,0.00002713692,0.0002264784,0.0002326211,0.0001776049,0.0001927356],"domain_scores_gemma":[0.9997013,0.00003553633,0.0000398536,0.0001034502,0.00006011894,0.00005980769],"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":[0.000002279975,0.000007881154,0.00001056761,0.00008852281,0.00006228869,0.00001109102,0.001343562,0.5998998,0.3974482,0.0001413789,0.0001375892,0.0008468411],"study_design_scores_gemma":[0.0002306591,0.00004340312,0.0005253096,0.0004736317,0.00005410501,0.00005499791,0.0003225756,0.9710425,0.02694602,0.00001179737,0.0000547096,0.0002403183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.497091,0.0000154983,0.5013205,0.0002968202,0.000509189,0.000228812,0.000002650665,0.0004106273,0.0001249129],"genre_scores_gemma":[0.9958007,0.000001896334,0.00363625,0.0001092701,0.0003232637,0.000006713971,0.00002067016,0.00004957264,0.00005168071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4987096,"threshold_uncertainty_score":0.7407365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01690462988706018,"score_gpt":0.2618669948483048,"score_spread":0.2449623649612447,"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."}}