Repository logo
Log In

University Digital Conservancy

University Digital Conservancy

Communities & Collections
Browse
About
AboutHow to depositPolicies
Contact

Browse by Subject

  1. Home
  2. Browse by Subject

Browsing by Subject "painting"

Now showing 1 - 2 of 2
  • Results Per Page
  • Sort Options
  • Loading...
    Thumbnail Image
    Item
    Robotic Roadway Message and Symbol Painter Implementation
    (Minnesota Department of Transportation, 2016-09) Rosandich, Ryan G
    The goals of this project were to develop a large-scale vehicle-mounted robotic roadway message painter that could be run by a single operator, and to develop software to enable the device to automatically paint various messages and symbols on roadways. A completely new articulated robot arm was design and constructed, complete with a control system, operator interface, paint delivery system, truck mount, and mobile power supply. The system was thoroughly tested, and programs were written to allow the robot to paint several symbols and messages on a roadway. The programs were tested and fine-tuned indoors, and then tested outdoors once the robot was mounted on a truck. An important finding of this research is that the traditional markings used by MnDOT are not ideal for robot application. Robotic painting can be better accommodated by altering the outlines of the markings somewhat, and by using directional hash lines to fill in the symbols rather than solid paint. These machine-made markings are faster to apply and use less paint, and in the end may be more effective for motorists than the traditional markings. The robotic roadway painter developed during this project has the potential to completely change the way in which markings are painted on roadways. The device has demonstrated the ability to paint roadway markings using an articulated robot arm mounted on the front of a vehicle. Expected benefits of the deployment of such a device include improved operator safety, improved productivity, and improved flexibility in roadway marking operations.
  • Loading...
    Thumbnail Image
    Item
    Seeing and Tagging Things in Pictures
    (Representations (University of California Press), 2021-08) Hancher, Michael
    Despite modernist precepts, digital projects that use crowdsourcing to annotate large collections of images of paintings and book illustrations with “tags” have encouraged viewers to see things in pictures and to say what they see. Both personal image tagging (ekphrastic in function) and automatic image tagging challenge in different ways the proposition that a painting as such will elide recognizable content.

UDC Services

  • About
  • How to Deposit
  • Policies
  • Contact

Related Services

  • University Archives
  • U of M Web Archive
  • UMedia Archive
  • Copyright Services
  • Digital Library Services

Libraries

  • Hours
  • News & Events
  • Staff Directory
  • Subject Librarians
  • Vision, Mission, & Goals
University Libraries

© 2025 Regents of the University of Minnesota. All rights reserved. The University of Minnesota is an equal opportunity educator and employer.
Policy statement | Acceptable Use of IT Resources | Report web accessibility issues