{"id":"W2801009918","doi":"10.1139/tcsme-2017-0020","title":"Feedforward control for underactuated bipedal walking on varying compliant slopes","year":2018,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Underactuation; Control theory (sociology); Feed forward; Kinematics; Bipedalism; Damper; Controller (irrigation); Computer science; Gait; Stability (learning theory); Robot; Engineering; Control engineering; Control (management); Physics; Artificial intelligence; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002151504,0.0005596667,0.0002696784,0.0002849037,0.0003140033,0.0003100661,0.0004629898,0.0002238458,0.0006839767],"category_scores_gemma":[0.0004545704,0.0001614322,0.000207203,0.000138704,0.0002714844,0.0002901962,0.0004170786,0.0002633021,0.0001124964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001270333,"about_ca_system_score_gemma":0.0002248486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001783117,"about_ca_topic_score_gemma":0.001912652,"domain_scores_codex":[0.9998908,0.00001592826,0.00001032156,0.00002614427,0.00003943254,0.00001733207],"domain_scores_gemma":[0.999792,0.00004754863,0.00005208618,0.00002067394,0.0000730557,0.00001462207],"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":[0.000491314,0.0001864458,0.002011587,0.0005787275,0.00008885714,0.001018302,0.0006824746,0.474495,0.242601,0.01079104,0.001476957,0.2655783],"study_design_scores_gemma":[0.00005187705,0.0005866095,0.001960833,0.00003407889,0.00003780458,0.0001215401,0.00004823452,0.9775549,0.01448732,0.002805284,0.002284906,0.00002647661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1389189,0.000285073,0.8563145,0.00007209981,0.00011024,0.00005664579,0.00003674297,0.0005895455,0.003616208],"genre_scores_gemma":[0.9868882,0.00007674911,0.01218315,0.00001918814,0.00001078515,0.00003540894,0.00002317266,0.000007356243,0.0007560227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001783117,"threshold_uncertainty_score":0.003545523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429554843877819,"score_gpt":0.212053126289645,"score_spread":0.1977575778508668,"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."}}