{"id":"W1660979891","doi":"10.1139/tcsme-2009-0035","title":"PATH PLACEMENT OPTIMIZATION OF MANIPULATORS BASED ON ENERGY CONSUMPTION: APPLICATION TO THE ORTHOGLIDE 3-AXIS","year":2009,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kinematics; Workspace; Path (computing); Actuator; Energy consumption; Computer science; Control theory (sociology); Energy (signal processing); Parallel manipulator; Mathematics; Engineering; Robot; Artificial intelligence; Physics; Control (management)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005032615,0.0008973222,0.0006049209,0.0006815412,0.0003862425,0.0004148129,0.0004266629,0.000513059,0.00129901],"category_scores_gemma":[0.001217835,0.0004264903,0.0003604266,0.0006150306,0.0005712594,0.000540364,0.0005077822,0.0003197592,0.0001615757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005907085,"about_ca_system_score_gemma":0.0007987071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001681004,"about_ca_topic_score_gemma":0.002046742,"domain_scores_codex":[0.999746,0.00008738378,0.00001131601,0.00004135933,0.00008755227,0.00002636539],"domain_scores_gemma":[0.999585,0.0002220706,0.00009764704,0.00002138167,0.00006137596,0.00001259132],"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":[0.00008544881,0.00003336982,0.0005179176,0.0000895542,0.00002180902,0.00009520647,0.00006998755,0.9211816,0.008249781,0.00488943,0.0002538196,0.06451216],"study_design_scores_gemma":[0.00002515231,0.0002320976,0.0007098353,0.00001397062,0.00001298803,0.0000935187,0.00003975147,0.9850104,0.006566685,0.006035163,0.001241502,0.0000188661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07130694,0.0002832296,0.9254372,0.00007900237,0.00001280593,0.00006628867,0.00003419711,0.0001998256,0.002580473],"genre_scores_gemma":[0.6041443,0.0002943899,0.393448,0.00001914608,0.000008445233,0.000142599,0.00006269536,0.00008581266,0.001794686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001681004,"threshold_uncertainty_score":0.004345655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007806203315917949,"score_gpt":0.1889628693681065,"score_spread":0.1811566660521885,"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."}}