{"id":"W2982885935","doi":"10.1142/s0219843619500300","title":"External Force Observer for Small- and Medium-Sized Humanoid Robots","year":2019,"lang":"en","type":"article","venue":"International Journal of Humanoid Robotics","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Humanoid robot; Observer (physics); Robot; Inertial measurement unit; Computer science; Simulation; Kalman filter; Control theory (sociology); Computer vision; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003878571,0.0005261816,0.0005127999,0.0002295321,0.000226941,0.000411758,0.0004923837,0.0005201688,0.002157907],"category_scores_gemma":[0.001401231,0.0001723612,0.0003057407,0.0001253808,0.0004281486,0.000455013,0.0007264941,0.0005840278,0.0005806377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000270433,"about_ca_system_score_gemma":0.0004507641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002773474,"about_ca_topic_score_gemma":0.002089518,"domain_scores_codex":[0.9997104,0.00003759809,0.00002021404,0.00007906081,0.0001247929,0.00002793698],"domain_scores_gemma":[0.999535,0.000144637,0.00009232714,0.00004625177,0.0001556312,0.00002623435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006124826,0.0001386292,0.003918178,0.001152732,0.0001148452,0.0006790827,0.0007878598,0.3986354,0.1590541,0.01747817,0.005845992,0.4115826],"study_design_scores_gemma":[0.0000783958,0.0004514965,0.003832019,0.00009782809,0.00004262448,0.0002155812,0.00007684036,0.9619228,0.01439909,0.004809425,0.0140249,0.00004906502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008997412,0.0002807624,0.9879139,0.00005444462,0.00008145149,0.00003860864,0.00002916507,0.0005417806,0.002062402],"genre_scores_gemma":[0.870296,0.0006412675,0.1212867,0.0001150272,0.00008306068,0.0003182357,0.0002307204,0.00006555138,0.006963463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002773474,"threshold_uncertainty_score":0.007218897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358682225146044,"score_gpt":0.2338198385938113,"score_spread":0.2202330163423509,"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."}}