{"id":"W2011757200","doi":"10.1007/s12555-012-0232-9","title":"Image-based visual servoing using improved image moments in 6-DOF robot systems","year":2013,"lang":"en","type":"article","venue":"International Journal of Control Automation and Systems","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Visual servoing; Computer vision; Artificial intelligence; Robustness (evolution); Image moment; Computer science; Image (mathematics); Robot; Image processing","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":[0.000195207,0.0002899462,0.0004322252,0.0002520711,0.0001921245,0.000278661,0.0004758579,0.0003230725,0.0008959211],"category_scores_gemma":[0.0005513045,0.0002187831,0.0002488816,0.0003051848,0.0002305004,0.000406322,0.0004130233,0.0004028633,0.000177979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002053557,"about_ca_system_score_gemma":0.0001892563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001088443,"about_ca_topic_score_gemma":0.00149476,"domain_scores_codex":[0.9997942,0.000026969,0.00001303032,0.0000274426,0.0001197905,0.00001869867],"domain_scores_gemma":[0.999754,0.00006902378,0.00006054054,0.00003278852,0.00006640769,0.00001719592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008005535,0.0001151702,0.001032053,0.0003035589,0.00006811223,0.0001505632,0.0001992423,0.2147891,0.4118432,0.01025729,0.001190215,0.359251],"study_design_scores_gemma":[0.00002242587,0.0002163746,0.001526749,0.000008794381,0.00001857459,0.00009491386,0.000009752054,0.950173,0.04550675,0.001023187,0.001375027,0.0000245193],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1115,0.0006466194,0.8852611,0.00008679065,0.00008844929,0.00002308434,0.00002700532,0.0003839249,0.001983201],"genre_scores_gemma":[0.8946837,0.0001901739,0.1030758,0.00001816603,0.00003795348,0.00002032427,0.00002553588,0.0000377685,0.001910604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001088443,"threshold_uncertainty_score":0.00299716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104842690683648,"score_gpt":0.2964480016595419,"score_spread":0.2859637325911771,"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."}}