{"id":"W3126424857","doi":"10.32920/ryerson.14662035","title":"Robust and fault tolerant control of modular and reconfigurable robots","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Canadian Heritage; Library and Archives Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modular design; Modularity (biology); Self-reconfiguring modular robot; Robot; Fault tolerance; Control engineering; Computer science; Robotics; Controller (irrigation); Torque; Robot control; Engineering; Artificial intelligence; Mobile robot; Distributed computing","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":[0.0003946341,0.0006947168,0.000433133,0.0003513106,0.0001858745,0.0005349439,0.0008900478,0.0004463868,0.0005992685],"category_scores_gemma":[0.0008261222,0.0002263841,0.0006089047,0.0002249262,0.0006274116,0.000335868,0.0007788282,0.0004189892,0.0001569149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004180357,"about_ca_system_score_gemma":0.0003761142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001028094,"about_ca_topic_score_gemma":0.00079032,"domain_scores_codex":[0.9996054,0.00004990783,0.00001759666,0.0001244874,0.0001475359,0.00005513404],"domain_scores_gemma":[0.9996239,0.00006221549,0.0001813753,0.00004767389,0.00006211056,0.00002277619],"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":[0.00009743396,0.00003266064,0.0002710252,0.00009949534,0.00004206462,0.000210898,0.0000751582,0.8902705,0.05406843,0.01638356,0.0004344468,0.03801418],"study_design_scores_gemma":[0.00001716702,0.0001776195,0.0003095439,0.000005756113,0.00001111594,0.00004117687,0.000008728535,0.989697,0.005610087,0.00343245,0.0006811025,0.000008184349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06787075,0.0002197179,0.9280228,0.0000797072,0.00004893293,0.00003183058,0.00002420952,0.0004797868,0.00322223],"genre_scores_gemma":[0.9635549,0.0001322489,0.03457217,0.00002907493,0.00003062919,0.00006481993,0.00003328559,0.00002262765,0.001560219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001028094,"threshold_uncertainty_score":0.003033102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02304564876297993,"score_gpt":0.2062405607448416,"score_spread":0.1831949119818616,"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."}}