{"id":"W1546283771","doi":"10.1007/978-3-540-32256-6_60","title":"The Use of Gyroscope Feedback in the Control of the Walking Gaits for a Small Humanoid Robot","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Gyroscope; Humanoid robot; Computer science; Robot; Actuator; Artificial intelligence; Control (management); Computer vision; Simulation; Control theory (sociology); Human–computer interaction; Engineering","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":[0.0001409231,0.0002923233,0.0001794749,0.0002083037,0.0001987801,0.0002303654,0.0002096695,0.0002081399,0.001261835],"category_scores_gemma":[0.0004754728,0.0001544737,0.0001260989,0.0001661916,0.0003194617,0.0002274034,0.0001657542,0.0002134907,0.0001695082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009533852,"about_ca_system_score_gemma":0.0001111847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001438149,"about_ca_topic_score_gemma":0.002595458,"domain_scores_codex":[0.9999713,0.000006779884,0.000002291754,0.00000614243,0.00001045274,0.000003013621],"domain_scores_gemma":[0.9999107,0.00004923419,0.000007523391,0.0000101438,0.0000149477,0.000007517503],"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":[0.0008203413,0.00006349431,0.0007572481,0.0004689921,0.0000400924,0.0004075308,0.0004350829,0.03837842,0.4553216,0.008444766,0.002484315,0.4923781],"study_design_scores_gemma":[0.000340894,0.002821364,0.01519024,0.0004362313,0.000249821,0.002356306,0.0002353162,0.5797412,0.3105218,0.0188995,0.06903822,0.0001691497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1690569,0.01081303,0.796819,0.0004908677,0.0004496802,0.0001132038,0.0001353363,0.001800725,0.02032127],"genre_scores_gemma":[0.8937828,0.001914926,0.09882603,0.00007821999,0.00006382815,0.0000493094,0.00005446592,0.00005474787,0.005175793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001438149,"threshold_uncertainty_score":0.004221261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02515019237809163,"score_gpt":0.2186211124936832,"score_spread":0.1934709201155916,"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."}}