{"id":"W1834145291","doi":"10.1109/robot.1999.770024","title":"Computing fault tolerant motions for a robot manipulator","year":2003,"lang":"en","type":"article","venue":"","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fault tolerance; Workspace; Redundancy (engineering); Computer science; Robot; Measure (data warehouse); Configuration space; Topology (electrical circuits); Task (project management); Motion planning; Control theory (sociology); Constraint (computer-aided design); Distributed computing; Artificial intelligence; Engineering; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003353088,0.0001036862,0.0001156076,0.00005466929,0.000296032,0.0001376298,0.0003032696,0.00004489271,0.00002028561],"category_scores_gemma":[0.00005497598,0.00009254403,0.00006554542,0.0001798548,0.000009858481,0.0001554919,0.00004020742,0.00008111827,0.0000341635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001973373,"about_ca_system_score_gemma":0.00005115138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002279395,"about_ca_topic_score_gemma":0.000004453714,"domain_scores_codex":[0.9990991,0.00004055776,0.0001803017,0.0002749185,0.0001106092,0.0002944951],"domain_scores_gemma":[0.9993862,0.0001422767,0.00004947783,0.0002793246,0.00006271726,0.00007999789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002349953,0.00009670622,0.002042972,0.00004952589,0.00003296281,0.000009766982,0.001177865,0.1264551,0.0007171339,0.844197,0.008471526,0.01674706],"study_design_scores_gemma":[0.0003574603,0.0000680335,0.0004692623,0.00003588655,0.000005201578,0.00002657421,0.00003617342,0.984459,0.001357028,0.004096815,0.00887478,0.0002137321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003741753,0.00006725309,0.9894577,0.000497241,0.000303498,0.0001629611,0.000001339131,0.0002654082,0.005502878],"genre_scores_gemma":[0.6016823,3.016563e-7,0.3972065,0.00038502,0.0000269829,0.00000569912,0.000002269674,0.000005698422,0.0006852435],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8580039,"threshold_uncertainty_score":0.3773836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03406153648676401,"score_gpt":0.2654359041600825,"score_spread":0.2313743676733185,"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."}}