
Intern – Simulation and Machine Learning in Robotics
Fraunhofer IIS
internship
Posted on:
Location Type: Office
Location: Dresden • Germany
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Job Level
About the role
- Do you want to gain experience programming robot arms and applying machine learning models in simulation and on real hardware?
- Manufacturing processes are the subject of numerous current research efforts in robotics.
- Transfer of real manufacturing tasks into simulation as Digital Cousins
- Automated generation of large datasets through augmentation.
- Training (reinforcement/imitation learning) of large foundational models (vision-language-action) using simulation and real-world data.
- Transfer of resulting policies from simulation to real robot hardware (Sim2Real transfer).
- Investigation of discrepancies in system behavior between simulation and reality (Sim2Real gap) based on various system dynamics, sensor noise, contact modeling, and calibration errors.
- Adaptation of the simulation and implementation of methods to increase the robustness of the Sim2Real transfer.
Requirements
- You are studying information systems engineering, computer science, electrical engineering, mechatronics, or a comparable field of study
- You are interested in robotics and ideally have experience with GPU simulators such as NVIDIA Isaac, as well as motion-planning software like MoveIt or cuRobo
- You are interested in physical applications of machine learning and ideally have basic knowledge of reinforcement/imitation learning and popular frameworks based on PyTorch or JAX
- You enjoy working independently and have experience in Python, as well as basic knowledge of software development and documentation.
Benefits
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Applicant Tracking System Keywords
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Hard Skills & Tools
programmingmachine learningreinforcement learningimitation learningPythonsoftware developmentdata augmentationmotion planningSim2Real transfercalibration
Soft Skills
independent work