{"id":"W4220814219","doi":"10.3390/robotics11020032","title":"An Analysis of Power Consumption of Fluid-Driven Robotic Arms Using Isotropy Index: A Proof-of-Concept Simulation-Based Study","year":2022,"lang":"en","type":"article","venue":"Robotics","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Cogmation Robotics (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada; Ryerson University","keywords":"Kinematics; Torque; Robot; Power (physics); Power consumption; Isotropy; Computer science; Control engineering; Control theory (sociology); Measure (data warehouse); Work (physics); Motion (physics); Robotic arm; Simulation; Engineering; Artificial intelligence; Control (management); Mechanical engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003784999,0.0004149847,0.0004446545,0.0003471758,0.0001831532,0.000370265,0.0005995133,0.0003828643,0.001668993],"category_scores_gemma":[0.001275051,0.000206017,0.0004094345,0.0002643757,0.0003769376,0.0005949028,0.0002358377,0.0002845014,0.0001535429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004194795,"about_ca_system_score_gemma":0.0002640759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007106192,"about_ca_topic_score_gemma":0.0004643522,"domain_scores_codex":[0.9998444,0.00002796352,0.000006208443,0.00002115729,0.0000774348,0.00002275257],"domain_scores_gemma":[0.9993176,0.0004662544,0.00008774282,0.0000532179,0.00006043458,0.00001464965],"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":[0.0003581526,0.0001489726,0.001564546,0.0003148371,0.00004573719,0.000210365,0.00008325902,0.8897643,0.08161025,0.004792032,0.0003731957,0.02073424],"study_design_scores_gemma":[0.00001322535,0.0002010611,0.001076138,0.00000745479,0.00001353275,0.00003944912,0.00001109623,0.9803481,0.01737896,0.0005159002,0.0003866598,0.000008588442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7696459,0.000761934,0.21852,0.0002064048,0.00003547669,0.0001453496,0.000130861,0.000399686,0.01015439],"genre_scores_gemma":[0.9913654,0.0001169781,0.007639552,0.00001035165,0.000002524069,0.0000481485,0.0000254515,0.00002541558,0.0007661638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001668993,"threshold_uncertainty_score":0.005583346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02395390222628646,"score_gpt":0.2763986303521085,"score_spread":0.252444728125822,"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."}}