{"id":"W1993190640","doi":"10.1115/isps2014-6923","title":"Modeling and Simulation of an Industrial SCARA Robot: Performance Evaluation Prior to Real-World Task","year":2014,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"SCARA; Robot; Robot end effector; Robot control; Robot calibration; Controller (irrigation); Control engineering; Computer science; Robot kinematics; Task (project management); Simulation; Impedance control; Industrial robot; Stiffness; Engineering; Mobile robot; Artificial intelligence","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":[0.0003740371,0.0006526983,0.0005769727,0.0004428721,0.0004026159,0.0005648279,0.0009562784,0.001008742,0.003818185],"category_scores_gemma":[0.0007408081,0.0002815666,0.0004707607,0.0002585999,0.0004086134,0.0003656242,0.0005055727,0.0004893608,0.0006758564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003945775,"about_ca_system_score_gemma":0.0006331634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00598447,"about_ca_topic_score_gemma":0.003873714,"domain_scores_codex":[0.9998319,0.00003515766,0.00001085404,0.00002085817,0.0000707233,0.00003049053],"domain_scores_gemma":[0.9995716,0.0001956797,0.00005568389,0.00004885479,0.00009412627,0.00003403946],"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":[0.0001831214,0.0001226865,0.0009912271,0.000140745,0.00001366634,0.000179664,0.0001327649,0.9833198,0.006913238,0.0007738724,0.0003238368,0.006905443],"study_design_scores_gemma":[0.00001948032,0.0001278901,0.0003806243,0.000008047296,0.000005619558,0.00002371491,0.00002999598,0.99637,0.002380509,0.0001166571,0.0005313498,0.000006057578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8167804,0.0003137501,0.1591309,0.0003233071,0.00006654863,0.0002780549,0.0006985253,0.002715141,0.01969335],"genre_scores_gemma":[0.9767758,0.0001395749,0.01956878,0.00002454353,0.000004580726,0.0002262243,0.0003450798,0.00005651968,0.002859005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00598447,"threshold_uncertainty_score":0.0127731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0672243810609588,"score_gpt":0.3024994601309008,"score_spread":0.235275079069942,"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."}}