{"id":"W2802130908","doi":"10.1139/tcsme-2005-0012","title":"REAL-TIME SCHEDULING OF DISTRIBUTED MULTI-ROBOT MANIPULATOR SYSTEMS","year":2005,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Scheduling (production processes); Distributed computing; Two-level scheduling; Dynamic priority scheduling; Rate-monotonic scheduling; Fair-share scheduling; Fixed-priority pre-emptive scheduling; Robot; Earliest deadline first scheduling; Real-time computing; Round-robin scheduling; Mathematical optimization; Artificial intelligence; Computer network; Mathematics; Quality of service","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0008035138,0.0007509664,0.00066565,0.000280994,0.0004756241,0.0006086343,0.001045566,0.000508235,0.001575379],"category_scores_gemma":[0.001701864,0.0003057705,0.0002626006,0.0003436034,0.0005147763,0.0007602362,0.0005714488,0.0005883435,0.0003182874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000572096,"about_ca_system_score_gemma":0.000677445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001684816,"about_ca_topic_score_gemma":0.001730653,"domain_scores_codex":[0.9993604,0.0002143309,0.00003222135,0.0001483178,0.0001835272,0.00006123992],"domain_scores_gemma":[0.9992657,0.0003462436,0.0001357603,0.00008042483,0.0001071432,0.00006466514],"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":[0.0002671881,0.00009794005,0.0003007347,0.0001059807,0.00003084131,0.000216941,0.0001272334,0.8999202,0.01394299,0.008325993,0.0009423718,0.07572165],"study_design_scores_gemma":[0.00003829308,0.00006013263,0.00008916086,0.000002541616,0.000004637138,0.0000249121,0.00001300128,0.9946386,0.001577178,0.002410587,0.00113592,0.000005002231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05162943,0.0003375246,0.9443901,0.0001199031,0.00006879636,0.00005967336,0.00002802208,0.0005662614,0.002800351],"genre_scores_gemma":[0.7946104,0.0003065052,0.2010153,0.00004544458,0.0000761426,0.0001867574,0.0001101059,0.0001057009,0.003543608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001684816,"threshold_uncertainty_score":0.005270183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01384842647247012,"score_gpt":0.2099876105511174,"score_spread":0.1961391840786473,"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."}}