{"id":33793,"date":"2023-01-05T12:20:37","date_gmt":"2023-01-05T12:20:37","guid":{"rendered":"https:\/\/content.technikum-wien.at\/?page_id=33791"},"modified":"2025-09-08T09:15:23","modified_gmt":"2025-09-08T09:15:23","slug":"augmented-mixed-reality","status":"publish","type":"page","link":"https:\/\/content.technikum-wien.at\/en\/augmented-mixed-reality\/","title":{"rendered":"Augmented\/Mixed Reality"},"content":{"rendered":"\n<div data-block=\"hero\" data-auto-slide=\"false\" data-is-header=\"false\" data-show-infobox=\"true\" class=\"wp-block-ovl-hero\">\n<div data-block=\"hero-column\" class=\"wp-block-ovl-hero-column\">\n<div class=\"wp-block-ovl-hero-slides ovl-heroSlides\" data-block=\"hero-slides\"><ul class=\"ovl-heroSlides__tabs\"><li>Slide<\/li><\/ul><div class=\"ovl-heroSlides__tabPanels\">\n<div class=\"wp-block-ovl-hero-slide ovl-heroSlide\" data-block=\"hero-slide\" data-bgcolor=\"blue\" data-show-textbox=\"true\"><img decoding=\"async\" src=\"https:\/\/media-hp.technikum-wien.at\/media\/20221003073004\/72-FHT_19-10-2021_072-scaled.jpg\" alt=\"\" data-objectposition=\"59% 36%\"\/><div>Augmented\/Mixed Reality<\/div><p data-text=\"true\"><\/p><a><\/a><\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n<div data-block=\"hero-column\" class=\"wp-block-ovl-hero-column\">\n<div class=\"wp-block-ovl-info-box ovl-infoBox\" data-block=\"infobox\" data-color=\"green\" data-title=\"\"><\/div>\n<\/div>\n<\/div>\n\n\n\n<div data-block=\"breadcrumbs\" class=\"wp-block-ovl-breadcrumbs\"><\/div>\n\n\n\n<div data-block=\"grid\" data-is-swiper=\"false\" data-columns=\"2\" data-bg-color=\"transparent\" data-vertical-alignment=\"start\" data-horizontal-alignment=\"start\" data-gap=\"s\" data-padding-top=\"2rem\" data-padding-bottom=\"2rem\" data-small-grid=\"false\" class=\"wp-block-ovl-grid\">\n<div data-block=\"grid-column\" class=\"wp-block-ovl-grid-column\">\n<div data-block=\"breadcrumbs\" class=\"wp-block-ovl-breadcrumbs\">\n<div class=\"wp-block-ovl-breadcrumb ovl-breadcrumb\" data-block=\"breadcrumb\"><a href=\"https:\/\/content.technikum-wien.at\/en\/landingpage-digital-miniature-factory\/\">Digital Miniature Factory<\/a><br><\/div>\n\n\n\n<div class=\"wp-block-ovl-breadcrumb ovl-breadcrumb\" data-block=\"breadcrumb\">Augmented\/Mixed Reality<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div data-block=\"grid\" data-is-swiper=\"false\" data-columns=\"1\" data-bg-color=\"#F1F1F1\" data-vertical-alignment=\"start\" data-horizontal-alignment=\"start\" data-gap=\"s\" data-padding-top=\"2rem\" data-padding-bottom=\"2rem\" data-small-grid=\"false\" class=\"wp-block-ovl-grid\">\n<div data-block=\"grid-column\" class=\"wp-block-ovl-grid-column\">\n<div data-block=\"quote\" class=\"wp-block-ovl-quote\"><div data-quote=\"true\">Mixed Reality (MR) refers to the general case of combining images along a continuum which ranges from purely real (unmodelled) data to completely virtual images, based on modelled environments. Depending on where a particular display mode lies on the reality-virtuality continuum, MR encompasses the case of Augmented Reality (AR), as well as the case of Augmented Virtuality (AV).<\/div><div data-author=\"true\">Paul Milgram. 2006. &#8220;Some Human Factors Considerations for Designing Mixed Reality Interfaces&#8221;<\/div><div data-designation=\"true\"><\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n<div data-block=\"grid\" data-is-swiper=\"false\" data-columns=\"1\" data-bg-color=\"transparent\" data-vertical-alignment=\"start\" data-horizontal-alignment=\"start\" data-gap=\"s\" data-padding-top=\"2rem\" data-padding-bottom=\"2rem\" data-small-grid=\"false\" class=\"wp-block-ovl-grid\">\n<div data-block=\"grid-column\" class=\"wp-block-ovl-grid-column\">\n<h2 class=\"wp-block-ovl-heading\" data-accent=\"true\" data-tag=\"h2\" data-style-level=\"\">Projects<\/h2>\n\n\n\n<p>The following projects show use cases based on the Digital Miniature Factory in the subject area Augmented\/Mixed Reality as results of scientific works of students of the UAS Technikum Wien.<\/p>\n<\/div>\n<\/div>\n\n\n\n<div data-block=\"grid\" data-is-swiper=\"false\" data-columns=\"2\" data-bg-color=\"transparent\" data-vertical-alignment=\"start\" data-horizontal-alignment=\"start\" data-gap=\"s\" data-padding-top=\"2rem\" data-padding-bottom=\"2rem\" data-small-grid=\"false\" class=\"wp-block-ovl-grid\">\n<div data-block=\"grid-column\" class=\"wp-block-ovl-grid-column\">\n<h4 class=\"wp-block-ovl-heading\" data-accent=\"true\" data-tag=\"h4\" data-style-level=\"\">Controlling and monitoring a conveyor belt<\/h4>\n\n\n\n<p>The machine parameters and sensor values are visualized directly through real sensors and machine components to facilitate the monitoring of the system. Furthermore, control elements are integrated in the AR &#8211; application to enable the control of the conveyor belt, as well as the adjustment of its parameters during runtime.<\/p>\n\n\n\n<p><\/p>\n<\/div>\n\n\n\n<div data-block=\"grid-column\" class=\"wp-block-ovl-grid-column\">\n<div data-block=\"video\" data-reference=\"35081\" class=\"wp-block-ovl-video\"><\/div>\n<\/div>\n<\/div>\n\n\n\n<div data-block=\"grid\" data-is-swiper=\"false\" data-columns=\"2\" data-bg-color=\"transparent\" data-vertical-alignment=\"start\" data-horizontal-alignment=\"start\" data-gap=\"s\" data-padding-top=\"2rem\" data-padding-bottom=\"2rem\" data-small-grid=\"false\" class=\"wp-block-ovl-grid\">\n<div data-block=\"grid-column\" class=\"wp-block-ovl-grid-column\">\n<h4 class=\"wp-block-ovl-heading\" data-accent=\"true\" data-tag=\"h4\" data-style-level=\"\">Maintenance of a conveyor<\/h4>\n\n\n\n<p>With the AR application of this project, a technical defect can be efficiently repaired. The application visualizes to the user at which component the error can be fixed. In addition, the user is offered a procedure on how to perform the troubleshooting.<\/p>\n<\/div>\n\n\n\n<div data-block=\"grid-column\" class=\"wp-block-ovl-grid-column\">\n<div data-block=\"video\" data-reference=\"35085\" class=\"wp-block-ovl-video\"><\/div>\n<\/div>\n<\/div>\n\n\n\n<div data-block=\"grid\" data-is-swiper=\"false\" data-columns=\"2\" data-bg-color=\"transparent\" data-vertical-alignment=\"start\" data-horizontal-alignment=\"start\" data-gap=\"s\" data-padding-top=\"2rem\" data-padding-bottom=\"2rem\" data-small-grid=\"false\" class=\"wp-block-ovl-grid\">\n<div data-block=\"grid-column\" class=\"wp-block-ovl-grid-column\">\n<h4 class=\"wp-block-ovl-heading\" data-accent=\"true\" data-tag=\"h4\" data-style-level=\"\">Virtual extension of the Digital Miniature Factory<\/h4>\n\n\n\n<p>A digital station was added to the Digital MiniatureFactory with this project. This digital station is integrated into the production line like the physical stations. This means that it communicates with the physical mobile robot and influences its path planning. This should enable an efficient setup and integration of a possible physical station.<\/p>\n\n\n\n<div class=\"wp-block-ovl-accordion-light ovl-accordionLight\" data-block=\"accordionlight\" data-question=\"Abstract\"><div class=\"ovl-accordionLight__answer\">\n<p>This Paper is about the virtual extension of the Digital Miniature Factory (DMF) at the UAS Technikum Vienna. The DMF is an automated production line with currently four different stations to sort, store and check the quality of the items for carabiners. For this purpose a separation station for norm-items is added and simulated with Augmented Reality. The simulation has to communicate with the production line and the other stations. With the virtual one, a physical one can be built and the interface already exists. A mobile robot is used for transport between the stations. Since the DMF is growing over time, it\u2019s important to think about the order, in which the stations are approached. So with the new station already built in, the best route for the robot depending on the start position is examined. To achieve this, the whole process is executed three times from three different starting points and the time it takes depending on the order is meassuerd. It shows, that the Augmented Reality simulation fits in the DMF and works fine to see how a physical one would work. Also, the sockets for a physical built station exists and can be used. With the simulation, it is possible to calculate the shortest way for the robot depending on the start position.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><strong><strong>Keywords<\/strong><\/strong>: <em>Augmented Reality, path planing, virtual engineering, digital miniature factory<\/em><\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n<div data-block=\"grid-column\" class=\"wp-block-ovl-grid-column\">\n<div data-block=\"video\" data-reference=\"33926\" class=\"wp-block-ovl-video\"><\/div>\n<\/div>\n<\/div>\n\n\n\n<div data-block=\"grid\" data-is-swiper=\"false\" data-columns=\"2\" data-bg-color=\"transparent\" data-vertical-alignment=\"start\" data-horizontal-alignment=\"start\" data-gap=\"s\" data-padding-top=\"2rem\" data-padding-bottom=\"2rem\" data-small-grid=\"false\" class=\"wp-block-ovl-grid\">\n<div data-block=\"grid-column\" class=\"wp-block-ovl-grid-column\">\n<h4 class=\"wp-block-ovl-heading\" data-accent=\"true\" data-tag=\"h4\" data-style-level=\"\">Assembling station<\/h4>\n\n\n\n<p>With this work, an assembly group can be assembled with the support of an AR application. The user receives step-by-step instructions on a tablet or PC. These instruction steps include animations of the components of the required tools. As a result, untrained personnel can assemble the assembly or training courses can be shortened.<\/p>\n\n\n\n<div class=\"wp-block-ovl-accordion-light ovl-accordionLight\" data-block=\"accordionlight\" data-question=\"Abstract\"><div class=\"ovl-accordionLight__answer\">\n<p>Up to 70% of all industrial accidents are caused by human error as workers act improperly due to a lack of training or guidance. To defuse this situation, the industry is trying to find solutions to an augmented reality (AR) guidance. This represents a promising potential. This thesis is dedicated to the creation and implementation of an AR manual that is realized by the Vuforia SDK. The application which can be used on PC and tablet contains two methods: Model Target and a novel tracking method &#8211; Model Target 360. In order to increase the added value of the AR manual, an evaluation was carried out by test persons, who, due to a lack of technical training, represent untrained personnel. Since classic paper instructions are still used today, one was also created and considered in the evaluation. Each of the 20 subjects tested one method on a platform or the paper instructions. In order to make a quantitative statement, a model was used which maps the complexity of manual assemblies. Since that model requires data which can be observed and measured, a tracking software and observation was used to create among others a motion profile and transfer it to the model. In addition, other aspects were examined such as subjective workload, errors and assembly duration. The evaluation showed that the model target method had the lowest assembly time. In addition, using the Model Target method via the PC platform proved to be the most error-resistant method. The overall complexity of the system revealed that the model target method via the PC platform and the Model Target 360 via the tablet platform had the least complexity. Subjects using the Model Target method via the tablet platform had the least amount of workload.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><strong><strong><strong><strong>Keywords<\/strong><\/strong><\/strong><\/strong>: <em>augmented reality, assembly, process evaluation, vuforia<\/em><\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n<div data-block=\"grid-column\" class=\"wp-block-ovl-grid-column\">\n<div data-block=\"video\" data-reference=\"35145\" class=\"wp-block-ovl-video\"><\/div>\n<\/div>\n<\/div>\n\n\n\n<div data-block=\"grid\" data-is-swiper=\"false\" data-columns=\"2\" data-bg-color=\"transparent\" data-vertical-alignment=\"start\" data-horizontal-alignment=\"start\" data-gap=\"s\" data-padding-top=\"2rem\" data-padding-bottom=\"2rem\" data-small-grid=\"false\" class=\"wp-block-ovl-grid\">\n<div data-block=\"grid-column\" class=\"wp-block-ovl-grid-column\">\n<h4 class=\"wp-block-ovl-heading\" data-accent=\"true\" data-tag=\"h4\" data-style-level=\"\">AR control of a mobile robot<\/h4>\n\n\n\n<p>A mobile robot should be controlled by means of an AR application. A map of the real environment is automatically created, in which the mobile robot is localized. The mobile robot can be navigated to any position by input on the touchscreen.<\/p>\n\n\n\n<div class=\"wp-block-ovl-accordion-light ovl-accordionLight\" data-block=\"accordionlight\" data-question=\"Abstract\"><div class=\"ovl-accordionLight__answer\">\n<p>On September 11, 2001 one of the largest urban search and rescue missions began in New York City. Destroyed buildings, falling debris and broken out fires posed a great danger to the emergency services searching for victims. Therefore, robots were used to assist in the search for buried and trapped people to reduce the danger for the rescue services. This was the first time that the use of mobile search and rescue robots was documented. A post-hoc analysis of the collected data led to 11 recommendations to improve human robot interaction that impact the robotics, computer science, engineering, psychology, and rescue fields. The motivation for this work is based on the believe that recent advances in the field of augmented reality can help to improve human robot interaction in 3 of these recommendations. According to the posthoc analysis especially in very critical and stressful situations, today&#8217;s human-robot interfaces are too demanding and further research is proposed in the field of perceptual user interfaces. It also points out the importance of a better representation of the robot state and advises to discover control methods other than keyboards and switches. In this thesis an attempt is made to improve human-robot-interaction by developing an application that allows to navigate a mobile robot via an augmented reality interface. A prototype of this application is used to conduct a user study. In this study, the AR user interface is compared to a conventional remote control with a camera image and a simple directional pad to determine whether this approach leads to a measurable improvement in the control of mobile robots. Therefore, a usability study is designed that measures effectiveness, efficiency, and satisfaction. The outcome of this work is an Android application, which was named ARnav, that incorporates the Vuforia SDK and ROS-sharp. ARnav is built and developed using Unity. The application was designed to be connected to a TurtleBot3 research-robot operated by ROS. The system was tested against a baseline control interface that uses a simple directional pad for direct control of the robot\u2019s motors and a live camera image to provide the user with an environmental image of the robot. A usability test with 14 participants revealed that the augmented reality interface led to a better understanding of the robot\u2019s current state. This conclusion is based on the recorded error rate, which shows that a lower number of critical failures were made with the AR interface. The study also found that ARnav led to a higher task completion rate which results in a higher task efficiency. Also, a better time-based efficiency in the use of ARnav was observed. However, ARnav scores slightly worse in terms of usability than the baseline. On average, test participants rated the AR application with 72,5 points on the system usability scale. In contrast, the baseline interface was rated with 77,5 points. This difference is marginal and was attributed to the early development stage of the ARnav interface. In a future second iteration of the development process, the acquired data should be used to improve the usability of ARnav.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><strong><strong><strong>Keywords<\/strong><\/strong><\/strong>: <em>Augmented Reality, Human-Robot-Interaction, Mobile Robot, Robot<br>Navigation, Search and Rescue<\/em><\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n<div data-block=\"grid-column\" class=\"wp-block-ovl-grid-column\">\n<div data-block=\"video\" data-reference=\"35093\" class=\"wp-block-ovl-video\"><\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":29,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"ppma_author":[1687],"class_list":["post-33793","page","type-page","status-publish","hentry"],"acf":{"featured_image":"","extra_search_terms":false},"yoast_head":"<!-- This site is optimized with the 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