{"id":"W4206267070","doi":"10.2514/6.2022-0164","title":"Nonlinear Dynamic Analysis and Control of a Small-Scale Magnetoactive Soft Robot","year":2022,"lang":"en","type":"article","venue":"AIAA SCITECH 2022 Forum","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); PID controller; Nonlinear system; Magnetic field; Cantilever; Finite element method; Robot; Deflection (physics); Fuzzy logic; Computer science; Magnetic flux; Mobile robot; Controller (irrigation); Physics; Engineering; Control engineering; Artificial intelligence; Classical mechanics; Structural engineering; Control (management); Temperature control","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":[0.0001468582,0.0001302215,0.0003061382,0.000195732,0.0001078706,0.00001248323,0.0001355737,0.00003826848,0.0002524722],"category_scores_gemma":[0.00000875739,0.000140818,0.00008976789,0.0005255323,0.00002254099,0.00006465944,0.0001291968,0.000143584,0.000001773802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006289798,"about_ca_system_score_gemma":0.00001305856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002862976,"about_ca_topic_score_gemma":0.0001453642,"domain_scores_codex":[0.9991663,0.00002235798,0.0002082188,0.0001923222,0.0001467851,0.0002639971],"domain_scores_gemma":[0.9996162,0.00003521172,0.0000579914,0.0002092302,0.00002577431,0.00005560361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007913116,0.00006549432,0.0003692189,0.00006984161,0.0004634126,0.0000109938,0.0001766125,0.1277558,0.8573887,0.0002268598,0.00003932202,0.01335465],"study_design_scores_gemma":[0.001079428,0.0003487208,0.0004117117,0.000006893724,0.0004998752,0.0000139747,0.0009622287,0.9385507,0.05160634,0.001656665,0.004490095,0.0003734173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3192881,0.0007625745,0.6782913,0.000136321,0.0003406311,0.0002848074,0.0006139884,0.0001690126,0.0001132696],"genre_scores_gemma":[0.9920171,0.00007178001,0.007504481,0.00006938523,0.00001280713,0.00007284429,0.00004613244,0.00003039843,0.000175052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8107949,"threshold_uncertainty_score":0.574239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003010371043921072,"score_gpt":0.1920704693647834,"score_spread":0.1890600983208624,"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."}}