{"id":"W2025682449","doi":"10.1142/s0219843606000527","title":"DESIGN, DYNAMIC MODIFICATION, AND ADAPTIVE CONTROL OF A NEW BIPED WALKING ROBOT","year":2006,"lang":"en","type":"article","venue":"International Journal of Humanoid Robotics","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Zero moment point; Computer science; Robot; Control theory (sociology); Swing; MATLAB; Simulation; Robot control; Point (geometry); Control engineering; Mobile robot; Control (management); Artificial intelligence; Humanoid robot; Engineering; Mathematics","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":[0.0001722738,0.0003674228,0.0002988538,0.000224256,0.0001778618,0.0002650129,0.0004412578,0.0003182261,0.0009464843],"category_scores_gemma":[0.0002310883,0.0001649846,0.0002026348,0.0001070594,0.0002346046,0.0001574846,0.0002731323,0.0002301178,0.0002315415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009610058,"about_ca_system_score_gemma":0.0001857902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005976081,"about_ca_topic_score_gemma":0.0004578828,"domain_scores_codex":[0.9998938,0.00001406017,0.000007901708,0.00003067383,0.00004084038,0.00001268063],"domain_scores_gemma":[0.9998956,0.00001622996,0.00002581961,0.00001041278,0.00003905141,0.00001285704],"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":[0.0002942925,0.0001198207,0.001166638,0.0007445256,0.0001072619,0.000963327,0.0003495327,0.1499789,0.5389512,0.007537488,0.001402809,0.2983842],"study_design_scores_gemma":[0.000173577,0.001419642,0.004661267,0.0000602415,0.0001200893,0.00106444,0.00005897511,0.9319255,0.03852443,0.00197364,0.0199599,0.00005826797],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05141496,0.0003617415,0.9434946,0.0001008215,0.0001133025,0.0001079559,0.00002546923,0.0006956503,0.003685618],"genre_scores_gemma":[0.8327713,0.0003613441,0.1619057,0.00008209024,0.00005958106,0.0002588397,0.00005684619,0.00002890981,0.004475476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009464843,"threshold_uncertainty_score":0.003166318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440933764450565,"score_gpt":0.2354120814632963,"score_spread":0.2210027438187906,"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."}}