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 LeistungsvernetzungArt der Arbeit:
Bachelorarbeit, Masterarbeit, Projektarbeit, StudienarbeitStudiengang:
Informatik, Maschinenbau, Mechatronik, WirtschaftsingenieurwesenTechnologiefeld:
Automatisierte ProduktionsanlagenKontakt:
Annalena Hartmann, M.Sc.
Department Maschinenbau (MB)
Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS, Prof. Franke)
- Telefon: +491735879736
- E-Mail: annalena.hartmann@faps.fau.de