Background:

The handling and processing of cables and wires is currently characterized by manual activities due to their flexible material behavior. However, due to the ever-increasing complexity of cable systems in vehicle construction, there is also an acute need for action in industry to automate the process. As part of an automation project with a major German OEM, an automation solution is to be developed for cable harness production and assembly in the vehicle.

Possible thesis:

The objective of this thesis is to optimize an existing computer vision algorithm for the robotic insertion of a wiring harness into the center console of a contemporary premium vehicle. The algorithm aims to automatically identify the various insertion points within the center console and generate parameters for a correction algorithm to facilitate subsequent robotic insertion. The thesis is roughly divided as follows:

  • Brief literature research  in the field of optical 3D measurement methods and already existing approaches for wire harness assembly
  • Analysis of the provided 3D Vision algorithms
  • Improvement of algorithms to generate the parameters for position correction for subsequent automatic mating
  • Comparison of various pose estimation approaches using Halcon library
  • Discussion and outlook on further development possibilities

Focus on:

  • 3D Computer Vision
  • Pose estimation
  • Robotics

What you should bring:

  • Independent and structured work style
  • Good documentation of the approach
  • Good knowledge of German or English language
  • Python knowledge desirable
  • Computer Vision knowledge advantageous

Other notes:

  • Start date can be immediate
  • Remote work possible
  • Work scope can be individually tailored according to interests
  • Please apply with a current grade transcript and resume

Kategorien:

Forschungsbereich:

Signal- und Leistungsvernetzung

Art der Arbeit:

Bachelorarbeit, Masterarbeit, Projektarbeit, Studienarbeit

Studiengang:

Informatik, Maschinenbau, Mechatronik, Wirtschaftsingenieurwesen

Technologiefeld:

Automatisierte Produktionsanlagen

Kontakt:

Annalena Hartmann, M.Sc.

Wissenschaftliche Mitarbeiterin im Forschungsbereich Signal- und Leistungsvernetzung

Department Maschinenbau (MB)
Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS, Prof. Franke)