{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035183,0.0007844802,0.000510381,0.0006956069,0.0004226271,0.0003900078,0.0007337602,0.0007990508,0.001856289],"category_scores_gemma":[0.001735179,0.000350215,0.0004616807,0.0005089959,0.0008079696,0.0007238284,0.0005884231,0.0005690552,0.0002790938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006583754,"about_ca_system_score_gemma":0.0008642001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00452955,"about_ca_topic_score_gemma":0.004165827,"domain_scores_codex":[0.9998235,0.00002932942,0.00001067602,0.00005375326,0.00006216338,0.00002046499],"domain_scores_gemma":[0.9996848,0.0001621423,0.00005831787,0.00003221737,0.00004169134,0.00002090451],"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":[0.00004728251,0.00001644541,0.0003731683,0.00004059663,0.00001389981,0.00005269979,0.00004271269,0.957341,0.004018077,0.008397455,0.0003408476,0.0293157],"study_design_scores_gemma":[0.00001298353,0.00003922953,0.0001212773,0.000004348565,0.000004271383,0.00001661129,0.00001310479,0.9880069,0.001744336,0.00951655,0.000514226,0.000006003486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0299579,0.00004718903,0.9687016,0.00006477915,0.000006856199,0.00002486778,0.00007790604,0.0004485039,0.0006703117],"genre_scores_gemma":[0.3289447,0.0001140129,0.6691235,0.00003778482,0.00001391049,0.0001551133,0.0003514529,0.00009428163,0.001165345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00452955,"threshold_uncertainty_score":0.009006321,"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."}}