{"id":354,"date":"2018-06-29T12:00:10","date_gmt":"2018-06-29T11:00:10","guid":{"rendered":"http:\/\/babel.isa.uma.es\/crumb\/?p=354"},"modified":"2018-06-29T16:24:24","modified_gmt":"2018-06-29T15:24:24","slug":"new-paper-on-bayesian-inference-for-sensorics-by-manuel-castellano","status":"publish","type":"post","link":"https:\/\/babel.isa.uma.es\/crumb\/index.php\/2018\/06\/29\/new-paper-on-bayesian-inference-for-sensorics-by-manuel-castellano\/","title":{"rendered":"New paper on bayesian inference for sensorics, by Manuel Castellano"},"content":{"rendered":"<p>Manuel Castellano has done a nice speech at the <a href=\"https:\/\/eventos.uma.es\/15340\/detail\/xiv-simposio-cea-de-control-inteligente-malaga-2018.html\">XIV Simposio CEA de Control Inteligente<\/a> about <strong>&#8220;Interactive Construction of Bayesian Inference Networks for Robust Robot Sensorics&#8221;<\/strong>. He has summarized his work on the semi-automatic construction of bayesian networks intended for the sensory diagnosis and augmentation in mobile robots. That work has used the CRUMB robot for the experiments.<br \/>\n<br \/>\n<img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/babel.isa.uma.es\/crumb\/wp-content\/uploads\/2018\/06\/manoloCEA.jpg\" alt=\"manoloCEA\" width=\"631\" height=\"558\" class=\"alignnone size-full wp-image-393\" srcset=\"https:\/\/babel.isa.uma.es\/crumb\/wp-content\/uploads\/2018\/06\/manoloCEA.jpg 631w, https:\/\/babel.isa.uma.es\/crumb\/wp-content\/uploads\/2018\/06\/manoloCEA-300x265.jpg 300w, https:\/\/babel.isa.uma.es\/crumb\/wp-content\/uploads\/2018\/06\/manoloCEA-618x547.jpg 618w, https:\/\/babel.isa.uma.es\/crumb\/wp-content\/uploads\/2018\/06\/manoloCEA-444x393.jpg 444w\" sizes=\"(max-width: 631px) 100vw, 631px\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Manuel Castellano has done a nice speech at the XIV Simposio CEA de Control Inteligente about &#8220;Interactive Construction of Bayesian Inference Networks for Robust Robot Sensorics&#8221;. He has summarized his work on the semi-automatic construction of bayesian networks intended for the sensory diagnosis and augmentation in mobile robots. That work has used the CRUMB robot [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20,2,22,8],"tags":[],"class_list":["post-354","post","type-post","status-publish","format-standard","hentry","category-bayesian-inference","category-news","category-publications","category-results"],"_links":{"self":[{"href":"https:\/\/babel.isa.uma.es\/crumb\/index.php\/wp-json\/wp\/v2\/posts\/354"}],"collection":[{"href":"https:\/\/babel.isa.uma.es\/crumb\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/babel.isa.uma.es\/crumb\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/babel.isa.uma.es\/crumb\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/babel.isa.uma.es\/crumb\/index.php\/wp-json\/wp\/v2\/comments?post=354"}],"version-history":[{"count":3,"href":"https:\/\/babel.isa.uma.es\/crumb\/index.php\/wp-json\/wp\/v2\/posts\/354\/revisions"}],"predecessor-version":[{"id":394,"href":"https:\/\/babel.isa.uma.es\/crumb\/index.php\/wp-json\/wp\/v2\/posts\/354\/revisions\/394"}],"wp:attachment":[{"href":"https:\/\/babel.isa.uma.es\/crumb\/index.php\/wp-json\/wp\/v2\/media?parent=354"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/babel.isa.uma.es\/crumb\/index.php\/wp-json\/wp\/v2\/categories?post=354"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/babel.isa.uma.es\/crumb\/index.php\/wp-json\/wp\/v2\/tags?post=354"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}