Fraunhofer-Gesellschaft
Masterthesis - Reinforcement Learning approach for path following and base control(m/w/x)
Full-timeOn-siteNot specified
Stuttgart
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FRFraunhofer-Gesellschaft
Master Thesis - Reinforcement Learning for wheeled, bipedal robots(m/w/x)
Stuttgart
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
Designing NVIDIA Isaac Sim environment for wheeled, bipedal robots, developing RL algorithms for hybrid locomotion at research organization with 76 institutes. Valid enrollment at German university and Reinforcement Learning experience required. Hands-on robot experience, plus Cake Thursday.
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
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
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- NVIDIA Isaac Sim
- Isaac Lab
- ROS
Benefits
Other Benefits
- Hands-on experience with robots
Informal Culture
- Familiar atmosphere
Snacks & Drinks
- Cake Thursday
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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FRFraunhofer-Gesellschaft
Master Thesis - Reinforcement Learning for wheeled, bipedal robots(m/w/x)
Stuttgart
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
Designing NVIDIA Isaac Sim environment for wheeled, bipedal robots, developing RL algorithms for hybrid locomotion at research organization with 76 institutes. Valid enrollment at German university and Reinforcement Learning experience required. Hands-on robot experience, plus Cake Thursday.
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
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
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- NVIDIA Isaac Sim
- Isaac Lab
- ROS
Benefits
Other Benefits
- Hands-on experience with robots
Informal Culture
- Familiar atmosphere
Snacks & Drinks
- Cake Thursday
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Fraunhofer-Gesellschaft
Industry
Research
Description
Das Unternehmen ist eine der führenden Organisationen für anwendungsorientierte Forschung mit 76 Instituten in Deutschland.
Not a perfect match?
- Fraunhofer-Gesellschaft
Masterthesis - Reinforcement Learning approach for path following and base control(m/w/x)
Full-timeOn-siteNot specifiedStuttgart - Fraunhofer-Gesellschaft
Master Thesis - Multi-modal traversability estimation for Autonomous Outdoor Navigation(m/w/x)
Full-timeInternshipOn-siteStuttgart - Fraunhofer-Gesellschaft
Master Thesis - Multi-session global traversability Mapping for Autonomous Outdoor Navigation(m/w/x)
Full-timeInternshipOn-siteStuttgart - Bosch Group
Master Thesis Advanced Control Strategies for Next-Generation Vehicle Dynamics(m/w/x)
Full-timeInternshipOn-siteRenningen - Bosch Group
Master Thesis Automated Driving Systems(m/w/x)
Full-timeOn-siteNot specifiedRenningen