{"id":"W3165352287","doi":"10.1007/s10846-021-01402-5","title":"Dynamic Visual Servoing of A 6-RSS Parallel Robot Based on Optical CMM","year":2021,"lang":"en","type":"article","venue":"Journal of Intelligent & Robotic Systems","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Visual servoing; Cartesian coordinate system; Parallel manipulator; Robot; Robustness (evolution); Control theory (sociology); Computer science; Computer vision; Kinematics; Artificial intelligence; Workspace; Algorism; Control engineering; Engineering; Mathematics; Control (management)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007064158,0.0002069777,0.0006051041,0.0002710474,0.00006129318,0.0001671697,0.0006715321,0.00006805955,0.00002022488],"category_scores_gemma":[0.0002886219,0.0001674024,0.0002964673,0.0004688986,0.0000430351,0.0003473388,0.0001307381,0.0003466889,0.00002603163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001769518,"about_ca_system_score_gemma":0.0002884962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005110708,"about_ca_topic_score_gemma":0.000001400347,"domain_scores_codex":[0.9971694,0.0002023883,0.001188818,0.0002809586,0.0008360311,0.0003223917],"domain_scores_gemma":[0.9976223,0.0004166418,0.0006818057,0.0004277681,0.0006287826,0.0002227537],"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":[0.00003491494,0.000331672,0.0002340558,0.0001104246,0.00005310022,0.0003064342,0.000167917,0.9809195,0.004976939,0.002185841,0.00008759485,0.01059165],"study_design_scores_gemma":[0.0003984552,0.0003932366,0.0002670214,0.001299463,0.00002056635,0.0005370706,0.0003887071,0.9920626,0.004145522,0.0001266853,0.0001949514,0.0001657602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001695679,0.000988276,0.9941943,0.0007282277,0.001912821,0.0001076035,3.493395e-7,0.00002320467,0.0003495369],"genre_scores_gemma":[0.7692305,0.00005547383,0.230185,0.0002298734,0.00008841891,0.000001636775,7.91239e-7,0.00001677213,0.0001915504],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7675348,"threshold_uncertainty_score":0.6826472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01921486866715189,"score_gpt":0.3051788302569864,"score_spread":0.2859639615898346,"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."}}