{"id":671,"date":"2023-01-17T17:58:38","date_gmt":"2023-01-17T17:58:38","guid":{"rendered":"https:\/\/www.wavelab.polimi.it\/?page_id=671"},"modified":"2023-01-18T15:58:16","modified_gmt":"2023-01-18T15:58:16","slug":"radiosense-era-net","status":"publish","type":"page","link":"https:\/\/www.wavelab.polimi.it\/?page_id=671","title":{"rendered":"RadioSense ERA-NET"},"content":{"rendered":"\n<p><strong>RadioSense \u2013 CHIST-ERA EU (2019-2021) &#8211; Big Data for the next-gen Smart Industry (BDSI)<\/strong><\/p>\n\n\n\n<p>Partners<br>&#8211; Aalto University (AAL), Finland<br>&#8211; Consiglio Nazionale delle Ricerche (CNR), Italy<br>&#8211; Telecom SudParis (TSP), France<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"alignright size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.wavelab.polimi.it\/wp-content\/uploads\/2023\/01\/radiosense_2t3-683x1024.png\" alt=\"\" class=\"wp-image-656\" width=\"335\" height=\"502\"\/><\/figure>\n<\/div>\n\n\n<p>The RadioSense project kick starts the development of innovative sensing tools as key enablers in advanced manufacturing. In industrial environments, human workers interact with increasingly autonomous machinery. To ensure workspace safety and production efficiency during human-robot cooperation (HRC), continuous and accurate tracking and perception of workers\u2019 activities is the key.<br>The RadioSense project explores passive radio sensing, or \u201cRadio Vision\u201d technologies which aim to track, recognize and analyse human-robot interactions continuously without requiring workers to wear any devices, and without the need for privacy-intrusive video, while ensuring workers\u2019 safety and privacy in industrial environments.<br>RadioSense technology leverages real-time collection and processing of ambient (or stray) radio signal streams (e.g., those found in 4G\/5G and WiFi connections) and PHY\/MAC Channel State Information (CSI) that form a specific type of \u201cbig data\u201d.<\/p>\n\n\n\n<p>Main topics of interest:<br>&#8211; Deep learning models for embedded devices<br>&#8211; Transformative computing<br>&#8211; Distributed Signal Processing<br>&#8211; Autonomous robots<br>&#8211; EM body models in the mmWave bands (60-100GHz)<br>&#8211; WiFi radar with smart antennas<\/p>\n\n\n\n<p>Funding: http:\/\/www.chistera.eu\/ (CHIST-ERA EU project)<\/p>\n","protected":false},"excerpt":{"rendered":"<p>RadioSense \u2013 CHIST-ERA EU (2019-2021) &#8211; Big Data for the next-gen Smart Industry (BDSI) Partners&#8211; Aalto University (AAL), Finland&#8211; Consiglio Nazionale delle Ricerche (CNR), Italy&#8211; Telecom SudParis (TSP), France The RadioSense project kick starts the development of innovative sensing tools as key enablers in advanced manufacturing. In industrial environments, human workers interact with increasingly autonomous [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-671","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.wavelab.polimi.it\/index.php?rest_route=\/wp\/v2\/pages\/671","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.wavelab.polimi.it\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.wavelab.polimi.it\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.wavelab.polimi.it\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.wavelab.polimi.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=671"}],"version-history":[{"count":3,"href":"https:\/\/www.wavelab.polimi.it\/index.php?rest_route=\/wp\/v2\/pages\/671\/revisions"}],"predecessor-version":[{"id":700,"href":"https:\/\/www.wavelab.polimi.it\/index.php?rest_route=\/wp\/v2\/pages\/671\/revisions\/700"}],"wp:attachment":[{"href":"https:\/\/www.wavelab.polimi.it\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=671"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}