{"id":"W2119403072","doi":"10.1109/acc.2011.5991275","title":"Path following for mechanical systems: Experiments and examples","year":2011,"lang":"en","type":"article","venue":"","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Underactuation; Path (computing); Control theory (sociology); Feedback linearization; Computer science; Linearization; Mechanical system; Linkage (software); Four-bar linkage; Control engineering; Robot; Bar (unit); Planar; Coordinate system; Transformation (genetics); Control (management); Nonlinear system; Engineering; Artificial intelligence; Motion (physics)","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":[0.001346317,0.0007281348,0.0005623852,0.0005292842,0.0007409296,0.0003883705,0.0008472617,0.001429174,0.004124456],"category_scores_gemma":[0.005607547,0.0003519603,0.0003951498,0.0004347683,0.0006788471,0.0009677791,0.001046719,0.0008840123,0.0004426963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003516566,"about_ca_system_score_gemma":0.0004233822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001394991,"about_ca_topic_score_gemma":0.001632384,"domain_scores_codex":[0.9991562,0.0002355972,0.00008240464,0.0001146797,0.0002986928,0.0001123272],"domain_scores_gemma":[0.9942186,0.00365567,0.0004683235,0.0008308705,0.0005989441,0.0002276553],"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":[0.002399437,0.004982756,0.005265086,0.002949807,0.0002780519,0.001547166,0.001995396,0.5258874,0.3126798,0.01894884,0.007046259,0.1160201],"study_design_scores_gemma":[0.0005905328,0.009678301,0.003232701,0.0001673132,0.00009355298,0.00045003,0.0004600118,0.8046496,0.158156,0.01131952,0.01105798,0.0001444998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.823494,0.001251125,0.1593594,0.0007167584,0.0002495664,0.0005296246,0.0006370402,0.002286543,0.01147597],"genre_scores_gemma":[0.960175,0.0003069604,0.03708544,0.00006252435,0.00001403862,0.0002785019,0.0002034422,0.00005783925,0.001816293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004124456,"threshold_uncertainty_score":0.0137977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04772784407870202,"score_gpt":0.2284971739299765,"score_spread":0.1807693298512744,"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."}}