0

Full Content is available to subscribers

Subscribe/Learn More  >

Virtual Reality Providing Ground Truth for Machine Learning and Programming by Demonstration

[+] Author Affiliations
Jürgen Roßmann, Christian Schlette, Nils Wantia

RWTH Aachen, Aachen, Germany

Paper No. DETC2012-70375, pp. 1501-1508; 8 pages
doi:10.1115/DETC2012-70375
From:
  • ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 2: 32nd Computers and Information in Engineering Conference, Parts A and B
  • Chicago, Illinois, USA, August 12–15, 2012
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-4501-1
  • Copyright © 2012 by ASME

abstract

In this contribution, it is demonstrated how the development, parameterization and evaluation of an intelligent cognitive system can be supported by means of Virtual Reality (VR). Based on new approaches in object and action recognition, the consortium in the EU funded project IntellAct is developing such an automated system for the intelligent understanding of manual tasks and robot-based manipulations.

In this context, the VR setup of the Institute for Man-Machine Interaction (MMI) is able to deliver ideal data, such as detailed positions and joint data of objects and kinematics involved. In addition, it allows for the synthesis of distinct and error-free data, such as collisions, bounding boxes and contact events. This way, Virtual Reality serves as a reference and source for “ground truth” data for designing, training and benchmarking the intelligent cognitive system during its development and parameterization. Furthermore this approach enables descriptive and secure ways for the visualization of results in the targeted environments, such as the highly automated laboratories on-board the International Space Station (see Fig. 1).

Copyright © 2012 by ASME

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In