| Job titel | Student job, internship |
|---|---|
| Start | By arrangement |
| Theme | Artificial Intelligence, Automation, Automated guided vehicles |
| Project | Imitation Learning for the Transfer of Human Skills to Industrial Trucks (LernFFZ) |
| Download | Download job offer as PDF |
| 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 industrial truck (FFZ) is to be enabled via imitation learning to autonomously execute driving movements based on the implicit knowledge of experienced drivers. We are investigating this in the LernFFZ project using various methods such as simulation environments and simulators.
Your tasks
As part of your internship or part-time job, you will have the opportunity to familiarize yourself with the exciting field of simulation of industrial trucks (FFZ) and actively participate in the LernFFZ project! You will independently record synthetic driving data within a simulation environment and actively develop it further. Furthermore, you will use the Robot Operating System (ROS2) to analyze the recording of the driving data and develop modules for pre- and further processing. You will also be actively involved in setting up a physical simulator. The following activities await you in detail:
- Recording synthetic driving data within the simulation
- Developing ROS2 modules for recording and processing driving data
- Construction of an physical simulator using CAD
- Setting up the simulator
- Research tasks
Your profile
You are studying one of the following subjects:
- Computer science
- Electrical engineering
- Mechatronics
- Mechanical engineering
You are interested in developing and implementing challenging and instructive activities in the field of automation technology and robotics.
You have knowledge of ROS2 and are proficient in the Python programming language. A final thesis following the internship or part-time job is possible.
We offer
- Appropriate remuneration for a part-time job
- independent work
- flexible working hours
- well-equipped workstations
- experiments and practical tasks
- possibly long-term cooperation
- Please send your application to jobs@iph-hannover.de
