Wissenschaftliche*r Mitarbeiter*in Kognitive Robotik -Reinforcement Learning und Low-Level Regelung
Tasks
- Advance robot mechatronics including kinematics and actuation
- Build physics based simulation environment
- Construct assemble and commission new hardware iterations
- Design train and evaluate RL policies for locomotion
- Develop low level controllers for real actuation interface
- Import and adapt CAD models
- Model contact dynamics and actuator behavior
- Perform sim to real transfer with domain randomization
- Publish research results
- Run system identification and hardware fine tuning
Perks/Benefits
- Childcare support
- Conference participation
- Flexible working hours
- Homecare support
- Research promotion opportunities
Skills/Tech-stack
CAD | Domain Randomization | Genetic Algorithms | Impedance control | Isaac Lab | Isaac-Gym | LQR | Linear-quadratic regulator | Low-level control | Model-Predictive Control | NVIDIA Isaac | NVIDIA Isaac Lab | PID Control | Predictive control | PyTorch | Python | ROS | ROS 2 | Reinforcement Learning | Robot Actuation | Robot Kinematics | Robotics Prototyping | Sim-to-Real | SolidWorks | Stable-Baselines3 | System Identification
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Engineer | Research Scientist | Robotics Engineer | Scientist
Regions
Countries
States
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