Best Paper Award for IPH scientist Sarah Uttendorf

Award ceremony at IEEM 2016: Sarah Uttendorf (middle) received Best Conference Paper Award. (Photo: Jonathan Ross, IPH)

IPH | Artificial intelligence with human logic: This is how to put the research results in a nutshell, making Sarah Uttendorf win the Best Paper Award at IEEM 2016. She developed a path planning algorithm for automated guided vehicles.

Automated guided vehicles are used to transport components from the warehouse to the assembly hall or semi-finished products from one workstation to the next, following predefined paths. The planning of such roadmaps is still a very time-consuming and extensive manual process, since automatically generated roadmaps are not applicable yet. Very often, roadmaps criss-cross the whole factory, bearing the risk of jams and collisions.

To generate applicable roadmaps automatically, Sarah Uttendorf of the Institut für Integrierte Produktion Hannover gGmbH (IPH) enhanced conventional path finding algorithms with the so-called Fuzzy inference system. She presented her research results at the IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). Her conference paper, entitled “A Fuzzy Logic Expert System for the Automated Generation of Roadmaps for Automated Guided Vehicle Systems“ received the Best Conference Paper Award.

by Susann Reichert

Image gallery for this article

  • Award ceremony at IEEM 2016: Sarah Uttendorf (middle) received Best Conference Paper Award. (Photo: Jonathan Ross, IPH)
  • Within the factory, automated guided vehicles move on predefined paths, so-called roadmaps. (Photo: Philipp Cartier, IPH)
  • Sarah Uttendorf developed an algorithm which generates applicable roadmaps automatically. (Photo: Philipp Cartier, IPH)