{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006351337,0.0004033598,0.0003530586,0.0003131199,0.0002701264,0.0007084581,0.0008672056,0.000510156,0.002931914],"category_scores_gemma":[0.0007536106,0.0002824905,0.0002914426,0.0001211502,0.000530324,0.0003641286,0.0006411063,0.0003481443,0.0005404235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002461699,"about_ca_system_score_gemma":0.0002700409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003336348,"about_ca_topic_score_gemma":0.00038179,"domain_scores_codex":[0.9996873,0.00006232598,0.00002230795,0.00004326596,0.0001488657,0.00003594565],"domain_scores_gemma":[0.9994948,0.0001363965,0.0001290971,0.00007577621,0.000128539,0.00003539266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005259607,0.0002149196,0.001442011,0.0009552507,0.00007786301,0.0007797087,0.0007339614,0.2962541,0.511717,0.02223271,0.002233007,0.1628335],"study_design_scores_gemma":[0.0002156517,0.002340199,0.002901909,0.0001172518,0.00006758307,0.0005944575,0.0002140894,0.8405831,0.1151321,0.005227508,0.03251244,0.00009370819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09323937,0.000400718,0.8933915,0.000152714,0.0001308356,0.0002474569,0.0000566938,0.0009946888,0.01138598],"genre_scores_gemma":[0.832216,0.0002040875,0.161602,0.0000409243,0.00001776414,0.0004223502,0.00004099669,0.0000560254,0.005399925],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002931914,"threshold_uncertainty_score":0.009808242,"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."}}