Student Assistant (m/f/d) - Reinforcement Learning for Wheeled Bipedal Outdoor Robot
Fraunhofer-Gesellschaft · Stuttgart
HiWiGerman needed: not said
Still open on 3 NovKey facts
- Pay
- Pay depends on your skills
- Where you work
- At the company
- Subject you study
- Automation Engineering, Cybernetics, Mechatronics, Control Engineering
What you'll do
- Support in setting up and maintaining simulation environments for a wheeled bipedal robot in NVIDIA Isaac Lab
- Help implement, train and evaluate RL policies for hybrid locomotion tasks
- Run training runs on our GPU resources, logging, visualisation and preparation of results
- Support sim-to-real experiments as well as tests and measurements with our robot BiBiRob
- Literature research on the state of the art and documentation of code and results
What you need
- Solid programming skills in Python
- Basic knowledge of reinforcement learning
- Above-average academic performance or relevant experience from own projects
- Interest in hands-on work with robot hardware
- Analytical thinking and an independent, structured way of working
- Valid enrollment at a university in Germany/within the EU
- Presence at our site directly on the University of Stuttgart campus
What you get
- Hands-on work with our self-developed wheeled bipedal robot
- Powerful GPU resources for training runs
- Chance to gain experience developing outdoor robot systems and take responsibility to implement your own ideas
- Integration into our development team and collaboration with students and staff from computer science, electrical engineering and mechanical engineering
