{"id":4684,"date":"2016-10-20T13:52:01","date_gmt":"2016-10-20T13:52:01","guid":{"rendered":"http:\/\/www.profactor.at\/en\/?page_id=4684"},"modified":"2023-08-11T07:05:31","modified_gmt":"2023-08-11T06:05:31","slug":"komoprod","status":"publish","type":"page","link":"https:\/\/www.profactor.at\/en\/research\/industrial-automation-systems\/robotics\/projects-archive\/komoprod\/","title":{"rendered":"KoMoProd"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row][vc_column][\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;3\/4&#8243;][vc_column_text]<div class=\"overview-image-wrapper\"><div class=\"img\" style=\"background-image:url(https:\/\/www.profactor.at\/wp-content\/uploads\/2016\/08\/01_MentaleModelle.jpg);\"\/><\/div><div class=\"overview-caption\"><\/div><\/div>[\/vc_column_text][vc_column_text]The complexity of assembly processes and manufacturing processes in general is in-creasing with respect to flexibility, frequent changes of products and markets as well as shorter product life cycles. Currently, the adaptation of manufacturing processes requires significant resources and time. Instead of creating more and more complex technical systems the approach in industry is to strengthen the cooperation between humans and machines. This project focuses on the interaction between humans and robots in production environments.<\/p>\n<p>Research deals with the development and evaluation of concepts for cognitive assistance systems that are based on a mutual understanding of the task and how it is to be split among humans and machines. This requires a suitable representation of the environment, the task and the objects and in a second stage methods and concepts to extend, parameterize, and adapt the system for future tasks.<\/p>\n<p>Also, the machine has to be able to combine basic actions to complex tasks. This top-ics has not yet been addressed in production Research.<\/p>\n<p><strong>Project Name: \u00a0\u00a0\u00a0<\/strong><b><br \/>\n<\/b>Cooperation models for assistive human-machine interaction in the production process<\/p>\n<p><strong>Funding: \u00a0\u00a0\u00a0 <\/strong><br \/>\nBMVIT<\/p>\n<p><strong>Duration: \u00a0\u00a0<\/strong><br \/>\n01.07.2014 &#8211; 30.06.2017<\/p>\n<p>[\/vc_column_text][vc_tta_accordion active_section=&#8221;1&#8243; title=&#8221;Publikationen&#8221;][vc_tta_section title=&#8221;Reviewte Ver\u00f6ffentlichung in Journals&#8221; tab_id=&#8221;1470573766423-49b2320a-f65c563f-8d17&#8243;][vc_column_text]<\/p>\n<h5>2016<\/h5>\n<ul>\n<li>Sharath Chandra Akkaladevi, Matthias Plasch, Andreas Pichler, Bernhard Rinner, <strong>Human Robot Collaboration to Reach a Common Goal in an Assembly Process<\/strong>, accepted for publication at ECAI 2016<\/li>\n<li>Sharath Akkaladevi, Martin Ankerl, Christoph Heindl, Andreas Pichler,<strong> Tracking multiple rigid symmetric and non-symmetric objects in real-time using depth data<\/strong>, ICRA 2016<\/li>\n<li>Sriniwas Chowdhary Maddukuri, Gerald Fritz, Sharath Chandra Akkaladevi, Matthias Plasch, Andreas Pichler, <strong>Trajectory planning based on activity recognition and identification of low-level process deviations<\/strong>, Austrian Robotics Workshop 2016<\/li>\n<li>Sharath Chandra Akkaladevi, Martin Ankerl, Gerald Fritz, Andreas Pichler, <strong>Real-time tracking of rigid objects using depth data<\/strong>, Austrian Robotics Workshop 2016<\/li>\n<\/ul>\n<h5>2015<\/h5>\n<ul>\n<li>Sharath Akkaladevi, Christoph Heindl, <strong>Action Recognition for Human-Robot Interaction in Industrial Applications<\/strong>, IEEE International Conference on Computer Graphics, Vision and Information Security (CGVIS),\u00a0 3. Nov. 2015<\/li>\n<li>Sharath Akkaladevi, Christoph Heindl, Alfred Angerer, Juergen Minichberger, <strong>Action Recognition in Industrial Applications using Depth Sensors<\/strong>, Austrian Robotics Workshop 2015, May 07 &#8211; 08, 2015<\/li>\n<li>Martijn Rooker, Sriniwas Chowdhary Maddukuri, J\u00fcrgen Minichberger, Christoph Feyrer, Helmut N\u00f6hmayer and Andreas Pichler, <strong>Interactive Workspace Modelling for Assistive Robot Systems with the Aid of Ultrasonic Sensors<\/strong>, Proc. of the International Conference on Flexible Automation and Intelligent Manufacturing (FAIM), 23 &#8211; 26 June 2015<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_tta_section][\/vc_tta_accordion][\/vc_column][vc_column width=&#8221;1\/4&#8243; el_class=&#8221;page-sidebar page-reference-sidebar&#8221;][vc_column_text el_class=&#8221;reference-person&#8221;]<\/p>\n<div class=\"img-wrapper\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-2416 size-medium\" src=\"http:\/\/www.profactor.at\/wp-content\/uploads\/2016\/07\/ceitzi_Ansprepartner_web-300x261.jpg\" width=\"300\" height=\"261\" srcset=\"https:\/\/www.profactor.at\/wp-content\/uploads\/2016\/07\/ceitzi_Ansprepartner_web-300x261.jpg 300w, https:\/\/www.profactor.at\/wp-content\/uploads\/2016\/07\/ceitzi_Ansprepartner_web.jpg 466w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/div>\n<div class=\"reference\">\n<h4>Your Contact<\/h4>\n<p><strong>Dr. Christian Eitzinger<\/strong><br \/>\nHead of Machine Vision<\/p>\n<p>+43 7252 885 250<br \/>\n&#x63;&#x68;&#x72;&#x69;&#x73;&#x74;&#x69;&#x61;&#x6e;&#x2e;&#x65;&#x69;&#x74;&#x7a;&#x69;&#x6e;&#x67;&#x65;&#x72;&#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:&#x63;&#x68;&#x72;&#x69;&#x73;&#x74;&#x69;&#x61;&#x6e;&#x2e;&#x65;&#x69;&#x74;&#x7a;&#x69;&#x6e;&#x67;&#x65;&#x72;&#x40;&#x70;&#x72;&#x6f;&#x66;&#x61;&#x63;&#x74;&#x6f;&#x72;&#x2e;&#x61;&#x74;\">&#8230; your Questions<\/a>[\/vc_column_text][vc_column_text el_class=&#8221;links-area&#8221;]<strong>Links:<\/strong><\/p>\n<p><a href=\"https:\/\/www.youtube.com\/watch?v=URfJUMNc9SY\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"color: #000000;\">Video: KoMoProd<\/span><\/a><\/p>\n<p><span style=\"color: #000000;\">Poster:\u00a0<a href=\"https:\/\/www.profactor.at\/wp-content\/uploads\/2017\/07\/Reasoning-Capabilities-for-a-Cognitive-assistive-Assembly-System_Poster.pdf\">Reasoning Capabilities for a Cognitive-assistive Assembly System<\/a><\/span>[\/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-archive%2Fkomoprod%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][\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;3\/4&#8243;][vc_column_text][\/vc_column_text][vc_column_text]The complexity of assembly processes and manufacturing processes in general is in-creasing with respect to flexibility, frequent changes of products and markets as well as shorter product life cycles. Currently, the adaptation of manufacturing processes requires significant resources and time. Instead of creating more and more complex technical systems the approach in industry is &hellip;<\/p>\n","protected":false},"author":1,"featured_media":3148,"parent":16838,"menu_order":1000,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-4684","page","type-page","status-publish","has-post-thumbnail","hentry","category-assistive-robotics"],"_links":{"self":[{"href":"https:\/\/www.profactor.at\/en\/wp-json\/wp\/v2\/pages\/4684","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\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.profactor.at\/en\/wp-json\/wp\/v2\/comments?post=4684"}],"version-history":[{"count":5,"href":"https:\/\/www.profactor.at\/en\/wp-json\/wp\/v2\/pages\/4684\/revisions"}],"predecessor-version":[{"id":7705,"href":"https:\/\/www.profactor.at\/en\/wp-json\/wp\/v2\/pages\/4684\/revisions\/7705"}],"up":[{"embeddable":true,"href":"https:\/\/www.profactor.at\/en\/wp-json\/wp\/v2\/pages\/16838"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.profactor.at\/en\/wp-json\/wp\/v2\/media\/3148"}],"wp:attachment":[{"href":"https:\/\/www.profactor.at\/en\/wp-json\/wp\/v2\/media?parent=4684"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.profactor.at\/en\/wp-json\/wp\/v2\/categories?post=4684"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.profactor.at\/en\/wp-json\/wp\/v2\/tags?post=4684"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}