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Master thesis : Development of a Motion Cueing Algorithm using MPC and RL

Deutsches Zentrum für Luft- und Raumfahrt e. V.
Weßling, Germany
3 days ago
Apply on www.adzuna.de
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.adzuna.de

Tech stack

Computer Programming Dynamical Systems Python (Programming Language) Tensorflow Reinforcement Learning

Job description

  • Familiarize yourself with the motion simulator setup, including mechanical design, system dynamics, and control architecture
  • Analyze the existing MPC-based motion cueing algorithm and its integrated vestibular perception model
  • Develop and implement a reinforcement learning approach to improve the MPC-based motion cueing algorithm
  • Evaluate the performance of the proposed method in simulation
  • Optional: Deploy and test the developed algorithm on the real motion simulator

Requirements

  • Master’s student in robotics, mechanical engineering, aerospace engineering, control engineering, or a related field
  • Background in control systems, robotics, or dynamic systems
  • Programming experience in Python (experience with optimization or machine learning frameworks is beneficial)
  • Interest in reinforcement learning, model predictive control, and motion simulation
  • Independent and structured working style

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.adzuna.de
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