Student assistant - Reinforcement learning for a bipedal outdoor robot

Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.

Job

In this role, you will implement and evaluate reinforcement learning policies for a bipedal robot, support simulator setups, and conduct practical experiments with the hardware.

Job summary

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Job technologies

Your role in the team

  • Depending on your background and interests, we will agree on your responsibilities together. Possible tasks include:
  • Support in building and maintaining simulation environments for a wheeled, bipedal robot in NVIDIA Isaac Lab.
  • Contribute to the implementation, training, and evaluation of RL policies for hybrid locomotion tasks (e.g., mode switching, balancing on uneven terrain).
  • Running training jobs on our GPU resources, logging, visualizing, and preparing the results.
  • Support with sim-to-real experiments (e.g., domain randomization, actuator modeling), as well as testing and measurements with our BiBiRob robot.
  • Literature review of the state of the art, as well as documentation of code and results.

Our expectations of you

Education

  • Currently enrolled at a university or higher education institution in Germany or elsewhere in the EU.
  • On-site at our location directly on the University of Stuttgart campus.

Qualifications

  • Strong programming skills in Python.
  • Basic knowledge of reinforcement learning.
  • Interest in hands-on work with robotic hardware.
  • Analytical thinking, as well as an independent and structured approach to work.

Experience

  • Above-average academic performance or relevant prior experience gained through personal projects.
  • Experience with physics engines (e.g., MuJoCo) is an advantage.
  • Experience with NVIDIA Isaac Lab is an advantage.
  • Experience with ROS 2 is an advantage.

What we offer

  • Hands-on work with our in-house-developed two-legged robot on wheels.
  • High-performance GPU resources for training runs.
  • Opportunity to gain experience in developing robotic systems for outdoor use and take on responsibility to bring your own ideas to life.
  • Integration into our development team and collaboration with students and staff from computer science, electrical engineering, and mechanical engineering.

Benefits

Topics you will work on

Job locations

Map of the job locations
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  • Location Stuttgart
    Baden-Württemberg, Germany

About your employer

The Fraunhofer Society is the largest organization for applied research in Europe. We align our research fields with people's needs: health, safety, communication, mobility, energy and the environment. We are creative and design technology. We design products, improve processes and open up new avenues.

Company size
250+ Employees
Company type
Established Company
Work model
Onsite, Hybrid, Full Remote
Industry
Science, Research

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3.5Total(1 review)
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2.9
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Student assistant - Reinforcement learning for a bipedal outdoor robot

Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.