{"id":2893,"date":"2022-07-13T09:30:00","date_gmt":"2022-07-13T07:30:00","guid":{"rendered":"https:\/\/cirpicme.org\/?page_id=2893"},"modified":"2022-07-26T13:08:02","modified_gmt":"2022-07-26T11:08:02","slug":"data-preparation-for-ai-based-robot-control","status":"publish","type":"page","link":"https:\/\/cirpicme.org\/index.php\/robotics-human-robot-collaboration-2\/data-preparation-for-ai-based-robot-control\/","title":{"rendered":"Data preparation for AI-based robot control"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><em>by <em>Tina Abdolmohammadi, Antje Ahrens, Valentin Richter-Trummer, Marcel Todtermuschke (Germany)<\/em><\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Abstract<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Roll-profiling is traditionally used for low-cost, high-volume manufacturing. However, complex sheet metal parts usually require labor-intensive forming processes, including post-forming straightening processes, to achieve optimal tolerances, thus increasing cost. Robotic roll-profiling already paves the way for single-part manufacturing. The current work focuses on developing the foundations for AI-based control strategies for in-line straightening, eliminating the need for post-forming straightening processes. Reaction forces and torques on the forming tool were analyzed and compared to part geometry reference measurements. Data processing and evaluation were developed, and different regression algorithms and neural networks were compared.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Keywords<\/strong>: Roll-profiling; Robot control; Data processing<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Video presentation<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-video\"><video height=\"720\" style=\"aspect-ratio: 1280 \/ 720;\" width=\"1280\" controls src=\"https:\/\/cirpicme.org\/wp-content\/uploads\/2022\/06\/Tina_Abdolmohammadi.mp4\"><\/video><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Presenting author<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table class=\"has-background\" style=\"background-color:#f3f4f5\"><tbody><tr><td><\/td><td><\/td><td><\/td><\/tr><tr><td><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"196\" class=\"wp-image-3499\" style=\"width: 150px;\" src=\"https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2022\/07\/Tina_Abdolmohammadi_Photo.jpg?resize=150%2C196&#038;ssl=1\" alt=\"\" srcset=\"https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2022\/07\/Tina_Abdolmohammadi_Photo.jpg?w=621&amp;ssl=1 621w, https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2022\/07\/Tina_Abdolmohammadi_Photo.jpg?resize=229%2C300&amp;ssl=1 229w, https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2022\/07\/Tina_Abdolmohammadi_Photo.jpg?resize=115%2C150&amp;ssl=1 115w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/td><td><strong>Name:<\/strong><br><br><strong>Affiliation:<\/strong><br><br><strong>Email:<\/strong><\/td><td>Tina Abdolmohammadi<br><br>Fraunhofer Institute for Machine Tools and Forming Technology IWU, Germany<br><br>tina.abdolmohammadi@iwu.fraunhofer.de<\/td><\/tr><tr><td><\/td><td><\/td><td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>by Tina Abdolmohammadi, Antje Ahrens, Valentin Richter-Trummer, Marcel Todtermuschke (Germany) Abstract Roll-profiling is traditionally used for low-cost, high-volume manufacturing. However, complex sheet metal parts usually require labor-intensive forming processes, including post-forming straightening processes, to achieve optimal tolerances, thus increasing cost. Robotic roll-profiling already paves the way for single-part manufacturing. The&#8230;<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/cirpicme.org\/index.php\/robotics-human-robot-collaboration-2\/data-preparation-for-ai-based-robot-control\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":4,"featured_media":0,"parent":3587,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"nf_dc_page":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-2893","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/2893","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/comments?post=2893"}],"version-history":[{"count":2,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/2893\/revisions"}],"predecessor-version":[{"id":3770,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/2893\/revisions\/3770"}],"up":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/3587"}],"wp:attachment":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/media?parent=2893"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}