{"id":"W3088901121","doi":"10.1109/access.2020.3026279","title":"Modeling and Control of Aerial Continuum Manipulation Systems: A Flying Continuum Robot Paradigm","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lyapunov stability; Control theory (sociology); Computer science; Control engineering; Stability (learning theory); Lyapunov function; Robot; Control system; Artificial intelligence; Control (management); Engineering; Physics","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":[0.0001392182,0.0004794851,0.000337,0.0002520644,0.0002483359,0.000556716,0.0006582779,0.000580081,0.001347126],"category_scores_gemma":[0.0001701553,0.0001538787,0.0004158145,0.0002407312,0.000414919,0.0006153992,0.0006669238,0.0005939677,0.000285204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002702675,"about_ca_system_score_gemma":0.0003227782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002316114,"about_ca_topic_score_gemma":0.001466662,"domain_scores_codex":[0.9998567,0.0000244496,0.000007786232,0.00004228816,0.00005584833,0.00001282805],"domain_scores_gemma":[0.9999213,0.00001722598,0.000028798,0.000009029146,0.0000176295,0.0000059279],"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":[0.0000616982,0.0000541939,0.0007371267,0.0002712061,0.00004944596,0.0003908729,0.0002199992,0.8028476,0.04458262,0.08880961,0.00145661,0.06051905],"study_design_scores_gemma":[0.000005888058,0.00008400615,0.0002240925,0.00001340468,0.000008846342,0.00005808961,0.00002407663,0.9904701,0.001196475,0.004706448,0.003200472,0.000008026214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01113756,0.0004976233,0.9818892,0.0001413148,0.00004464569,0.00002939163,0.00004537358,0.0001405905,0.006074138],"genre_scores_gemma":[0.8871137,0.001605289,0.1022176,0.0001420543,0.0001446964,0.0002433032,0.0001618917,0.00002790658,0.008343509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002316114,"threshold_uncertainty_score":0.004605293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04517301279514307,"score_gpt":0.2610462508391659,"score_spread":0.2158732380440228,"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."}}