{"id":"W3047797506","doi":"10.1109/aim43001.2020.9158858","title":"Depth-based Visual Predictive Control of Tendon-Driven Continuum Robots","year":2020,"lang":"en","type":"article","venue":"","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Visual servoing; Robustness (evolution); Artificial intelligence; Computer science; Robot; Computer vision; Model predictive control; Camera resectioning; Gravitational singularity; Control (management); Mathematics","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":[0.0002022349,0.0002950995,0.0002481328,0.0002034986,0.0002089753,0.0003180035,0.0007041956,0.00034536,0.0007431574],"category_scores_gemma":[0.0004467146,0.0001798909,0.0001681136,0.0001904978,0.0004001643,0.0002968637,0.0006381554,0.0003909121,0.00008588567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003245299,"about_ca_system_score_gemma":0.0004315881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002308024,"about_ca_topic_score_gemma":0.001964623,"domain_scores_codex":[0.9998878,0.00001475453,0.000004401545,0.00002144635,0.00005816739,0.00001341572],"domain_scores_gemma":[0.9998263,0.00005287735,0.00005362473,0.00001252324,0.0000397353,0.00001503733],"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":[0.0001551451,0.00006087412,0.0005250995,0.0001641421,0.00001737315,0.0002527228,0.0002228155,0.7899734,0.05187257,0.008487972,0.0008388761,0.1474289],"study_design_scores_gemma":[0.000007248356,0.00005302442,0.0001027532,0.00000454721,0.000002474379,0.00001960974,0.000007312246,0.9957339,0.002841285,0.0008129302,0.0004106677,0.000004387751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05178789,0.000288794,0.9433522,0.0001134817,0.00004746064,0.00003009262,0.00001527314,0.0002267931,0.00413805],"genre_scores_gemma":[0.9662642,0.0001400323,0.03171523,0.00003020718,0.00001266033,0.00003800247,0.00001229279,0.00000896786,0.001778401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002308024,"threshold_uncertainty_score":0.00458914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009756767199479556,"score_gpt":0.2175708713372767,"score_spread":0.2078141041377971,"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."}}