{"id":13458,"date":"2021-01-27T11:51:43","date_gmt":"2021-01-27T11:51:43","guid":{"rendered":"https:\/\/www.profactor.at\/?page_id=13458"},"modified":"2023-08-11T07:13:10","modified_gmt":"2023-08-11T06:13:10","slug":"felice","status":"publish","type":"page","link":"https:\/\/www.profactor.at\/en\/research\/industrial-automation-systems\/robotics\/projects\/felice\/","title":{"rendered":"FELICE"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row][vc_column width=&#8221;3\/4&#8243;][vc_column_text]<\/p>\n<h2 style=\"text-align: center;\"><strong>F<\/strong>l<strong>E<\/strong>xible assemb<strong>L<\/strong>y manufactur<strong>I<\/strong>ng with human-robot <strong>C<\/strong>ollaboration and digital twin mod<strong>E<\/strong>ls (FELICE)<\/h2>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-13460 size-full\" src=\"https:\/\/www.profactor.at\/wp-content\/uploads\/2021\/01\/Felice.png\" alt=\"\" width=\"980\" height=\"537\" \/><\/p>\n<p><em>FELICE\u00a0<\/em>addresses one of the greatest challenges in robotics, i.e. that of\u00a0<strong>coordinated interaction and combination of human and robot skills<\/strong>. The proposal targets the application priority area of\u00a0<strong>agile production<\/strong>\u00a0and aspires to design the next generation assembly processes required to effectively address current and pressing needs in manufacturing. To this end, it envisages adaptive workspaces and a cognitive robot collaborating with workers in assembly lines.\u00a0<em>FELICE\u00a0<\/em>unites\u00a0<strong>multidisciplinary research<\/strong>\u00a0in collaborative robotics, AI, computer vision, IoT, machine learning, data analytics, cyber-physical systems, process optimization and ergonomics to deliver a modular platform that integrates and harmonizes an array of autonomous and cognitive technologies in order to increase the agility and productivity of a manual assembly production system, ensure the safety and improve the physical and mental well-being of factory workers. <strong>The key to achieve these goals is to develop technologies that will combine the\u00a0accuracy and endurance of robots\u00a0with the\u00a0cognitive ability and flexibility of humans<\/strong>. Being inherently more\u00a0adaptive and configurable, such technologies will support future manufacturing assembly floors to become\u00a0agile, allowing them to respond in a timely manner to customer needs and market changes.<\/p>\n<p>FELICE framework comprises of two layers:<\/p>\n<ol>\n<li>A local one introducing a single\u00a0<strong>collaborative assembly\u00a0robot<\/strong> that will roam the shop floor assisting workers<\/li>\n<li><strong>Adaptive workstations<\/strong>\u00a0able to automatically adjust to the workers\u2019 somatometries and providing multimodal informative guidance and notifications on assembly tasks, and a global layer which will sense and operate upon the real world via an actionable\u00a0<strong>digital replica<\/strong>\u00a0of the entire physical assembly line.<\/li>\n<\/ol>\n<p>Related developments will proceed along the following directions:<\/p>\n<ol>\n<li><strong>Implementing\u00a0perception and cognition capabilities<\/strong>\u00a0based on many heterogeneous sensors in the shop floor, which will allow the system to\u00a0build context-awareness<\/li>\n<li><strong>Advancing human-robot collaboration<\/strong>, enabling robots to\u00a0operate safely and ergonomically\u00a0alongside humans, sharing and reallocating tasks between them, allowing the reconfiguration of an assembly production process in an\u00a0efficient and flexible\u00a0manner<\/li>\n<li><strong>Realizing a\u00a0manufacturing digital twin<\/strong>, i.e. a virtual representation tightly coupled with production assets and the actual assembly process, enabling the\u00a0management of operating conditions, the simulation of the assembly process and the optimization of various aspects of its performance.<\/li>\n<\/ol>\n<p><em>FELICE\u00a0<\/em>foresees two environments for experimentation, validation, and demonstration. The first is <strong>a\u00a0small-scale\u00a0prototyping environment<\/strong> aimed to validate technologies before they are applied in a larger setting, provided by the second,\u00a0<strong>industrial environment<\/strong>\u00a0of one of the largest automotive industries in Europe. It is the view of the consortium that this quest is timely reacting to international competition, trends, and progress,\u00a0<strong>pursuing results that are visionary and far beyond the current state of the art<\/strong>.<\/p>\n<p>.<\/p>\n<p><strong>Project name: <\/strong><strong><br \/>\n<\/strong>FELICE &#8211; Flexible Assembly Manufacturing with Human-Robot Collaboration and Digital Twin Models<\/p>\n<p><strong>Funding:<\/strong><strong><br \/>\n<\/strong>H2020-EU.2.1.1. (EU Grant ID number: 101017151)<\/p>\n<p><strong>Total Budget: <\/strong><strong><br \/>\n<\/strong>\u20ac 6 342 975<\/p>\n<p><strong>Duration: <\/strong><strong><br \/>\n<\/strong>01.01.2021\u2013 30.06.2024<\/p>\n<p><strong>Coordinator:<\/strong><\/p>\n<p>INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS, Greece<\/p>\n<p><strong>Partners:<\/strong><\/p>\n<p>PROFACTOR GMBH, Austria<\/p>\n<p>CENTRO RICERCHE FIAT SCPA, Italy<\/p>\n<p>FH OO FORSCHUNGS &amp; ENTWICKLUNGS GMBH, Austria<\/p>\n<p>AEGIS IT RESEARCH GMBH, Germany<\/p>\n<p>FORSCHUNGSGESELLSCHAFT FUR ARBEITSPHYSIOLOGIE UND ARBEITSSCHUTZ E.V., Germany<\/p>\n<p>IDRYMA TECHNOLOGIAS KAI EREVNAS, Greece<\/p>\n<p>CAL-TEK SRL, Italy<\/p>\n<p>TECHNISCHE UNIVERSITAT DARMSTADT, Germany<\/p>\n<p>UNIVERSITA DEGLI STUDI DI SALERNO, Italy<\/p>\n<p>FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V., Germany<\/p>\n<p>STANCZYK BARTLOMIEJ, Poland<\/p>\n<p>EUNOMIA LIMITED, Ireland[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/4&#8243;][vc_column_text el_class=&#8221;reference-person page-sidebar&#8221;]<img loading=\"lazy\" decoding=\"async\" class=\"wp-image-13467 size-full aligncenter\" src=\"https:\/\/www.profactor.at\/wp-content\/uploads\/2021\/01\/sakkal.png\" alt=\"\" width=\"545\" height=\"470\" \/><\/p>\n<div class=\"reference\">\n<h4>Your Contact<\/h4>\n<p><b>DI Sharath Chandra Akkaladevi<\/b><br \/>\nScientist<\/p>\n<p>+43 72 52 885 325<br \/>\n&#x73;&#x68;&#x61;&#x72;&#x61;&#x74;&#x68;&#x2e;&#x61;&#x6b;&#x6b;&#x61;&#x6c;&#x61;&#x64;&#x65;&#x76;&#x69;&#x40;<span class=\"oe_displaynone\">null<\/span>&#x70;&#x72;&#x6f;&#x66;&#x61;&#x63;&#x74;&#x6f;&#x72;&#x2e;&#x61;&#x74;<\/p>\n<\/div>\n<p>[\/vc_column_text][vc_column_text el_class=&#8221;cta-area&#8221;]<\/p>\n<h3>We answer&#8230;<\/h3>\n<p><a class=\"btn cta\" href=\"mailto:&#x73;&#x68;&#x61;&#x72;&#x61;&#x74;&#x68;&#x2e;&#x61;&#x6b;&#x6b;&#x61;&#x6c;&#x61;&#x64;&#x65;&#x76;&#x69;&#x40;&#x70;&#x72;&#x6f;&#x66;&#x61;&#x63;&#x74;&#x6f;&#x72;&#x2e;&#x61;&#x74;\">&#8230; your questions<\/a>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;3\/4&#8243;][vc_column_text]<img loading=\"lazy\" decoding=\"async\" class=\"alignleft wp-image-13509 size-full\" src=\"https:\/\/www.profactor.at\/wp-content\/uploads\/2021\/01\/felice_logos.png\" alt=\"\" width=\"999\" height=\"614\" \/>[\/vc_column_text][vc_separator][\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;3\/4&#8243;][vc_column_text]<\/p>\n<p style=\"text-align: center;\">More details: <a href=\"https:\/\/www.felice-project.eu\/\">https:\/\/www.felice-project.eu\/<\/a><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-13526 size-full aligncenter\" src=\"https:\/\/www.profactor.at\/wp-content\/uploads\/2021\/01\/felice-2-1.png\" alt=\"\" width=\"302\" height=\"248\" \/><\/p>\n<p>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<div class=\"shariff shariff-align-flex-start shariff-widget-align-flex-start\"><ul class=\"shariff-buttons theme-round orientation-horizontal buttonsize-medium\"><li class=\"shariff-button linkedin shariff-nocustomcolor\" style=\"background-color:#1488bf\"><a href=\"https:\/\/www.linkedin.com\/sharing\/share-offsite\/?url=https%3A%2F%2Fwww.profactor.at%2Fen%2Fresearch%2Findustrial-automation-systems%2Frobotics%2Fprojects%2Ffelice%2F\" title=\"Bei LinkedIn teilen\" aria-label=\"Bei LinkedIn teilen\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; background-color:#0077b5; color:#fff\" target=\"_blank\"><span class=\"shariff-icon\" style=\"\"><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 27 32\"><path fill=\"#0077b5\" d=\"M6.2 11.2v17.7h-5.9v-17.7h5.9zM6.6 5.7q0 1.3-0.9 2.2t-2.4 0.9h0q-1.5 0-2.4-0.9t-0.9-2.2 0.9-2.2 2.4-0.9 2.4 0.9 0.9 2.2zM27.4 18.7v10.1h-5.9v-9.5q0-1.9-0.7-2.9t-2.3-1.1q-1.1 0-1.9 0.6t-1.2 1.5q-0.2 0.5-0.2 1.4v9.9h-5.9q0-7.1 0-11.6t0-5.3l0-0.9h5.9v2.6h0q0.4-0.6 0.7-1t1-0.9 1.6-0.8 2-0.3q3 0 4.9 2t1.9 6z\"\/><\/svg><\/span><\/a><\/li><\/ul><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column width=&#8221;3\/4&#8243;][vc_column_text] FlExible assembLy manufacturIng with human-robot Collaboration and digital twin modEls (FELICE) &nbsp; FELICE\u00a0addresses one of the greatest challenges in robotics, i.e. that of\u00a0coordinated interaction and combination of human and robot skills. The proposal targets the application priority area of\u00a0agile production\u00a0and aspires to design the next generation assembly processes required to effectively address current &hellip;<\/p>\n","protected":false},"author":13,"featured_media":13460,"parent":71,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[16,12,6],"tags":[],"class_list":["post-13458","page","type-page","status-publish","has-post-thumbnail","hentry","category-assistive-robotics","category-industrial-assistive-systems","category-research"],"_links":{"self":[{"href":"https:\/\/www.profactor.at\/en\/wp-json\/wp\/v2\/pages\/13458","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.profactor.at\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.profactor.at\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.profactor.at\/en\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/www.profactor.at\/en\/wp-json\/wp\/v2\/comments?post=13458"}],"version-history":[{"count":33,"href":"https:\/\/www.profactor.at\/en\/wp-json\/wp\/v2\/pages\/13458\/revisions"}],"predecessor-version":[{"id":13532,"href":"https:\/\/www.profactor.at\/en\/wp-json\/wp\/v2\/pages\/13458\/revisions\/13532"}],"up":[{"embeddable":true,"href":"https:\/\/www.profactor.at\/en\/wp-json\/wp\/v2\/pages\/71"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.profactor.at\/en\/wp-json\/wp\/v2\/media\/13460"}],"wp:attachment":[{"href":"https:\/\/www.profactor.at\/en\/wp-json\/wp\/v2\/media?parent=13458"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.profactor.at\/en\/wp-json\/wp\/v2\/categories?post=13458"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.profactor.at\/en\/wp-json\/wp\/v2\/tags?post=13458"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}