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Robust and Flexible Automation

The objective of the research area Robust and Flexible Automation is to further develop and link novel technologies and methodologies within automation to support innovation processes and advanced work systems in the manufacturing industries. The work is lead by Gabor Sziebig in SINTEF Manufacturing.

Introduction to the research area

​Recent developments within automation technologies increase the ability to rapidly adapt to changing conditions, and open new ways to use automation and robotics in manufacturing systems. Some examples of advances based on novel technology:

  • Increased flexibility and robustness
  • In-process monitoring and real-time control
  • Faster and easier reconfiguration
  • Intuitive and adaptive manufacturing adapted to human needs
  • Intuitive programming and tasking
  • Trajectory planning with adaption to changing environments
  • Sensor systems capable of mapping and analysing changing environments
  • Multi-robot and human-robot coordination and cooperation
  • Real time sensor based control

To further develop and link novel technologies and methodologies within automation, in order to support innovation processes and advanced work systems in the manufacturing industries, is the overall objective of the research within the area Robust and Flexible Automation.

Work packages

​A number of research challenges will be addressed within the research area. The work is organised into two research and technology development work packages (WP’s):

  • WP2.1 – Robotic technologies for flexible manufacturing – WP leader Esten Ingar Grøtli
  • WP2.2 – Flexible and integrated production systems – WP leader Andrej Cibicik

These WP’s are also highly interlinked in the way that WP2.2 will focus on using and integrating the specific technologies and methods developed in WP2.1, as well as other technologies on a production system level. In addition, activities within these WP’s also link to the other two research areas within SFI Manufacturing.

PhD's and postdocs

​PhD candidates and postdoctoral researchers are essential resources within the SFI. Linn Danielsen Evjemo, Ingrid Fjordheim Onstein and Andreas Moltumyr are connected to the research area as PhD candidates. Mathias Hauan Arbo is working on a Postdoc.

Read more about Linn, Ingrid, Andreas and Mathias here
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