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data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"800\" height=\"534\" src=\"https:\/\/www.sas-lab.deib.polimi.it\/wp-content\/uploads\/2021\/09\/LabFoto227699-1024x683.jpg\" class=\"attachment-large size-large wp-image-404\" alt=\"\" srcset=\"https:\/\/www.sas-lab.deib.polimi.it\/wp-content\/uploads\/2021\/09\/LabFoto227699-1024x683.jpg 1024w, https:\/\/www.sas-lab.deib.polimi.it\/wp-content\/uploads\/2021\/09\/LabFoto227699-300x200.jpg 300w, https:\/\/www.sas-lab.deib.polimi.it\/wp-content\/uploads\/2021\/09\/LabFoto227699-768x512.jpg 768w, https:\/\/www.sas-lab.deib.polimi.it\/wp-content\/uploads\/2021\/09\/LabFoto227699-1536x1024.jpg 1536w, https:\/\/www.sas-lab.deib.polimi.it\/wp-content\/uploads\/2021\/09\/LabFoto227699-2048x1365.jpg 2048w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-588042c\" data-id=\"588042c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-49b4f23 elementor-widget elementor-widget-text-editor\" data-id=\"49b4f23\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>SAS-Lab members are going to present their current research at the virtual meeting Automatica.it 2021 on September 8-10, 2021 (free participation, see the <a href=\"http:\/\/automatica2021.unict.it\/\"><b><span style=\"text-decoration: underline;\">website<\/span><\/b><\/a> for more information):<\/p><ul><li>Leonardo Cecchin, Danilo Saccani and Lorenzo Fagiano, \u201cG-BEAM: Graph-Based Exploration And Mapping for Autonomous Vehicles\u201d<\/li><li>Lorenzo Jr Sabug, Fredy Ruiz and Lorenzo Fagiano, \u201cOn a new Set Membership-based approach for global optimization involving black-box constraints\u201d<\/li><li>Roberto Boffadossi, Lorenzo Fagiano, Andrea Cataldo and Marko Tanaskovic, \u201cHierarchical Predictive Routing Control: an optimization-based strategy for discrete manufacturing plants\u201d<\/li><li>Michele Bolognini, Lorenzo Fagiano and Maria Pina Limongelli, \u201cAn autonomous, robust, multi-agent UAV path planner for inspection of the built environment\u201d<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>",
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