{"id":"W3046317107","doi":"10.1109/iros45743.2020.9341569","title":"Velocity Regulation of 3D Bipedal Walking Robots with Uncertain Dynamics Through Adaptive Neural Network Controller","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Science Foundation","keywords":"Controller (irrigation); Control theory (sociology); Robot; Artificial neural network; Adaptive control; Control engineering; Computer science; A priori and a posteriori; Heuristic; Representation (politics); Engineering; Control (management); Artificial intelligence","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":[0.0001627903,0.0003656247,0.0001981853,0.0001958567,0.0002298525,0.000306499,0.0003107391,0.0002639654,0.0004405042],"category_scores_gemma":[0.0003812654,0.0001455515,0.0001705227,0.0001265992,0.0002975588,0.000242748,0.0004319499,0.0002621441,0.00007799618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002080846,"about_ca_system_score_gemma":0.0002416907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003353735,"about_ca_topic_score_gemma":0.002725055,"domain_scores_codex":[0.9999312,0.00001118127,0.000004830988,0.00001665605,0.0000266522,0.000009356981],"domain_scores_gemma":[0.9998878,0.00003343549,0.00003418138,0.000009062997,0.00002968026,0.000005770039],"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":[0.00006476937,0.00002108714,0.0005878784,0.00008512627,0.00002214229,0.0001371577,0.0001011576,0.8967664,0.03964176,0.003201714,0.0003953895,0.05897546],"study_design_scores_gemma":[0.000004145143,0.00002908766,0.0002190666,0.000005043578,0.000004057656,0.00001336718,0.000005488333,0.9965295,0.002134237,0.0006457414,0.0004062297,0.000004033874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1073391,0.0003574424,0.8874379,0.0001077195,0.00006218458,0.0000276508,0.00002617798,0.0005060667,0.004135731],"genre_scores_gemma":[0.9760855,0.0001384205,0.02256808,0.00003039328,0.00001076623,0.00003830762,0.00002278778,0.00001091282,0.001094665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003353735,"threshold_uncertainty_score":0.006668448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099497414835527,"score_gpt":0.2235934741839177,"score_spread":0.2025985000355625,"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."}}