{"id":"W4381193978","doi":"10.11159/cdsr23.002","title":"Design, Prototyping and Control of Low-Impedance Hybrid Robots forIntuitive Physical Human-Robot Interaction","year":2023,"lang":"en","type":"article","venue":"Proceedings of the International Conference of Control, Dynamic systems, and Robotics","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Robot; Impedance control; Computer science; Rapid prototyping; Human–robot interaction; Robot control; Human–computer interaction; Control (management); Electrical impedance; Control engineering; Mobile robot; Engineering; Artificial intelligence; Mechanical engineering; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003399459,0.0002064191,0.0005320151,0.0001583338,0.00006180882,0.00006409494,0.0003228716,0.00006269064,0.000002425666],"category_scores_gemma":[0.0001176468,0.000166678,0.000093224,0.0001132875,0.0001602074,0.0002608423,0.00006058882,0.0001715436,0.000001153775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000055385,"about_ca_system_score_gemma":0.00003077045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001944556,"about_ca_topic_score_gemma":0.000002124706,"domain_scores_codex":[0.9986402,0.00002221914,0.0005871622,0.0002021186,0.0003564671,0.0001917647],"domain_scores_gemma":[0.9985127,0.0001854068,0.0004223466,0.00009164878,0.0007350717,0.00005280846],"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":[0.0002561793,0.0001014721,0.002498273,0.001552109,0.0007419707,0.000001215388,0.0007502277,0.6085162,0.3296224,0.05369871,0.00004677721,0.002214481],"study_design_scores_gemma":[0.001730661,0.0001066765,0.002079906,0.0008732812,0.00008393478,0.00001749684,0.0005152291,0.9892164,0.003605772,0.001616822,0.000005298516,0.0001485644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5330916,0.0003981346,0.4591562,0.0008071032,0.001387003,0.003201444,0.00007411306,0.0002263371,0.001658073],"genre_scores_gemma":[0.999409,0.0001033301,0.0001970263,0.00001076103,0.00007039506,0.00007790363,0.000003023033,0.00002341769,0.0001052075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4663173,"threshold_uncertainty_score":0.6796932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02284361573045437,"score_gpt":0.2565228214184705,"score_spread":0.2336792056880162,"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."}}