The goal of the summer school is to give more students skills on how to control and program navigating robots. The content assumes a strong knowledge of python programming, with some Linux and hardware skills.

  1. State estimation
  2. Introduction to deep learning and computer vision for state estimation
  3. Presentation on the hardware and how to control the robot using Python
  4. SLAM
  5. Planning and planning with learned models
  6. Foundational models for robot control
  7. Introduction to reinforcement learning and sim2real transfer

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