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FR
Fraunhofer-Gesellschaft
last mo.

Master Thesis - Reinforcement Learning for wheeled, bipedal robots(m/w/x)

Stuttgart
Full-timeInternshipOn-site
AI/ML

Description

In this role, you will create a simulation environment for a wheeled, bipedal robot, focusing on realistic physics and developing reinforcement learning algorithms. Your work will involve training the robot for various locomotion tasks and evaluating its performance against real-world benchmarks.

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Requirements

  • •Field of study in automation technology, electrical engineering, computer science, cybernetics, aerospace engineering, mechanical engineering, mathematics, mechatronics, physics, control engineering, software design, software engineering, technical computer science, or comparable
  • •Valid enrollment at a German university/Hochschule
  • •Background in Computer Science, Software Engineering, Mechanical Engineering, Mechatronics, or similar
  • •Experience with Reinforcement Learning
  • •Experience with Physic Engines
  • •Experience with NVIDIA Isaac Sim and Isaac Lab
  • •Experience with ROS
  • •Analytical mindset
  • •Enthusiasm for mobile robotics
  • •Fluency in English or German

Education

Currently in higher education

Tasks

  • •Design a simulation environment for a wheeled, bipedal robot in NVIDIA Isaac Sim
  • •Ensure realistic physics for hybrid locomotion
  • •Develop and train reinforcement learning algorithms for hybrid locomotion tasks
  • •Implement transitions between locomotion modes
  • •Balance the robot on uneven terrain
  • •Compare simulated behavior with real-world performance of the bipedal robot

Tools & Technologies

NVIDIA Isaac SimIsaac LabROS

Languages

English – Business Fluent

German – Business Fluent

Benefits

Other Benefits

  • •Hands-on experience with robots

Informal Culture

  • •Familiar atmosphere

Snacks & Drinks

  • •Cake Thursday
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