| Job titel | Master thesis, Project thesis |
|---|---|
| Start | By arrangement |
| Theme | Artificial Intelligence, Automated guided vehicles |
| Project | Imitation Learning for the Transfer of Human Skills to Industrial Trucks (LernFFZ) |
| Application | Deine aussagekräftige Bewerbung enthält Anschreiben, Lebenslauf sowie Prüfungsleistungen des Studiums / Zeugnisse. Bitte sende die Unterlagen in einer einzigen PDF-Datei an jobs@iph-hannover.de |
Most vehicles in intralogistics are driven manually, as human drivers are superior to automated systems in many respects from today's perspective. In order to harness human capabilities for automated systems, human driving behavior is to be simulated in a logistics environment and used to generate synthetic data sets. Based on this, an automated forklift is to be enabled via imitation learning to autonomously execute driving movements based on the implicit knowledge of experienced drivers.
Your tasks
The aim of this work is to develop and evaluate a pipeline for preprocessing 3D point clouds with the goal of reliably extracting load carriers (pallets, lattice boxes) and collision objects. The load carriers should also be standardized in the 3D point cloud using a suitable reference model. The focus of the work is on developing a robust preprocessing pipeline using a variety of filter methods such as RANSC, region growing, or statistical outlier removal algorithms. The pipeline will then be evaluated in terms of its performance.
These work packages are part of the work:
- Literature research on existing filter methods for 3D point clouds
- Development of an approach for a suitable reference model
- Development of the preprocessing pipeline
- Evaluation of performance using an evaluation scale
Your profile
What you bring to the table:
- You are studying mechanical engineering, computer science, or similar
- Good written and spoken German and English skills
- Independent working style and analytical thinking
- Basic knowledge of 3D data processing and algorithms
- Programming experience in Python. Experience with PCL or Open3D is an advantage
- Basic knowledge of ROS2 is desirable
Are you interested in artificial intelligence, robotics, and sensor technology? Do you enjoy familiarizing yourself with new topics independently? Then we look forward to receiving your application!
We offer
- independent work
- well-equipped workplace
- long-term cooperation
- Please send your application to jobs@iph-hannover.de
