{"id":"W2035001422","doi":"10.1109/icra.2013.6631002","title":"Modeling nonconvex workspace constraints from diverse demonstration sets for Constrained Manipulator Visual Servoing","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Visual servoing; Workspace; Computer science; Computer vision; Artificial intelligence; Robot end effector; Robot; Leverage (statistics)","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":[0.001176254,0.001023586,0.0008867993,0.0007898603,0.0003648872,0.0008408268,0.001579041,0.00104661,0.001338947],"category_scores_gemma":[0.005241084,0.0009904923,0.001144733,0.0005902433,0.001264261,0.001406114,0.001936315,0.001479203,0.0002145211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000834469,"about_ca_system_score_gemma":0.0009363412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004426843,"about_ca_topic_score_gemma":0.004875755,"domain_scores_codex":[0.9992805,0.0002361696,0.00003362421,0.0001587457,0.0002291891,0.00006180553],"domain_scores_gemma":[0.9977584,0.001379967,0.0004178041,0.00017434,0.0001787137,0.00009068142],"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":[0.00001972158,0.00001125823,0.0001859324,0.00002829453,0.00001109433,0.00004961845,0.00003897142,0.9802902,0.001549903,0.01050806,0.0001358359,0.007171114],"study_design_scores_gemma":[0.000003720168,0.00001099292,0.0000499102,0.000003365568,0.000001334607,0.000008558226,0.000002962635,0.995425,0.0002220937,0.00411796,0.0001501634,0.000004007233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006535497,0.00006158472,0.9929339,0.00003910026,0.000004694831,0.00001291917,0.00002309625,0.00008423833,0.0003050859],"genre_scores_gemma":[0.6770614,0.0003213371,0.3198122,0.00009101762,0.000051806,0.0002673311,0.0002580337,0.0001705222,0.001966284],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004426843,"threshold_uncertainty_score":0.008802116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03286355863838768,"score_gpt":0.3045102823747125,"score_spread":0.2716467237363248,"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."}}