Internship
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In the Professional Service Robots - Outdoor research group we develop autonomous, mobile robots for a variety of outdoor applications, such as agriculture, forestry and logistics. The focus is on the development of an autonomous outdoor navigation solution as well as the hardware of the robots.
Wheeled, bipedal robots combine the advantages of dynamic walking with efficient wheeled locomotion. Controlling such systems in real-world environments is challenging due to the high-dimensional dynamics, non-linear contact interactions, and varying surface conditions. Reinforcement learning (RL) offers a promising approach to develop adaptive and robust control policies, but training on physical hardware is often impractical and unsafe. Realistic simulation environments are therefore essential. NVIDIA Isaac Sim with Isaac Lab enables high-fidelity physics simulation, sensor emulation, and RL-compatible environments for training and evaluating complex locomotion and navigation behaviours.
In this thesis, you will design and implement a simulation environment for a wheeled, bipedal robot in NVIDIA Isaac Sim, ensuring realistic physics for hybrid locomotion. You will develop and train RL algorithms for hybrid locomotion tasks, including transitioning between locomotion modes and balancing on uneven terrain. To assess the quality and limitations of the training, you will compare the simulated behaviour with the real-world performance of our internally developed bipedal robot.
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 is a plus
Experience with NVIDIA Isaac Sim and Isaac Lab is a plus
Experience with ROS is a plus
Analytical mindset
Enthusiasm for mobile robotics
Fluent in English or German
Cutting-edge technology in the field of outdoor mobile robotics
Hands on with our robots in Stuttgart
Take on responsibility and freedom to implement your own ideas
Work with the best students in their discipline
Familiar atmosphere including Cake Thursday
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Frau Jennifer Leppich Recruiting +49 711 970-1415 jennifer.leppich@ipa.fraunhofer.de
Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA
www.ipa.fraunhofer.de
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