Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2006The Aspect of Quality in Scheduling Painting Tasks for an Automatic Robotic Spray Systemcitations
  • 2002Automatic Robotic Spray Painting of Low Volume High Variant Partscitations

Places of action

Chart of shared publication
Kristiansen, Ewa
1 / 8 shared
Pichler, Andreas
1 / 1 shared
Vince, Markus
1 / 1 shared
Andersen, Henrik John
1 / 1 shared
Häusler, Kurt
1 / 1 shared
Biegelbauer, Georg
1 / 1 shared
Kristiansen, Morten
1 / 12 shared
Chart of publication period
2006
2002

Co-Authors (by relevance)

  • Kristiansen, Ewa
  • Pichler, Andreas
  • Vince, Markus
  • Andersen, Henrik John
  • Häusler, Kurt
  • Biegelbauer, Georg
  • Kristiansen, Morten
OrganizationsLocationPeople

article

Automatic Robotic Spray Painting of Low Volume High Variant Parts

  • Pichler, Andreas
  • Vince, Markus
  • Andersen, Henrik John
  • Madsen, Ole
  • Häusler, Kurt
  • Biegelbauer, Georg
  • Kristiansen, Morten
Abstract

With the advance in IT technology sensors and processing power exist to achieve fully automated robot programming in industrial tasks. This paper reports on the EU-project FlexPaint, which devised a methodology to automatically generate robot programs for spray painting of unknown parts. The solution uses four steps: laser triangulation sensing, geometric feature detection, tool path planning, and the generation of the collision-free executable robot program. Demonstrations at industrial partners show the results.

Topics