{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001845325,0.0001812744,0.0002418679,0.00006067077,0.0003394442,0.00003355496,0.000240907,0.0001461653,0.00005545547],"category_scores_gemma":[0.00003242628,0.0001625044,0.0005857723,0.000182381,0.00003354782,0.00006798482,0.000002161448,0.0001968806,0.000005323684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003374012,"about_ca_system_score_gemma":0.00008132736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005870776,"about_ca_topic_score_gemma":0.002539187,"domain_scores_codex":[0.9990287,0.000006571467,0.0002658572,0.0001561314,0.0001233358,0.0004194003],"domain_scores_gemma":[0.9992604,0.0001959767,0.00003021443,0.0002264157,0.00009138804,0.0001956256],"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":[0.00003557312,0.00002534855,6.000235e-7,0.0001947369,0.00067629,1.954854e-7,0.0003278438,0.9512576,0.02563906,0.009204306,0.0007927199,0.01184573],"study_design_scores_gemma":[0.001407172,0.0001015949,0.00001209779,0.00007806364,0.0001266772,0.000003001853,0.00004893047,0.9779242,0.01409902,0.0002746456,0.005718793,0.0002057778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001187225,0.00002568792,0.9958445,0.0007985582,0.0009706693,0.0007487829,0.0001631506,0.0001650946,0.00009632276],"genre_scores_gemma":[0.9878531,0.000003828654,0.01143825,0.0003168033,0.0001420336,0.0001200225,0.000006882499,0.00005767412,0.00006139008],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9866659,"threshold_uncertainty_score":0.6626737,"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."}}