AINS graduate specialization

Robotics AI specialization

Three courses · reference 9 credits in a 36-credit stack

Robotics AI blends geometric and learned representations for embodied systems: sensing and mapping, motion planning under dynamics, and coordination with humans or fleets.

Labs assume simulator-first workflows with optional hardware tie-ins; institutions map prerequisites from robotics or mechanical engineering programs.

Complements core deep learning and ML courses with embodied systems emphasis.

What institutions get

  • Reason about sensing uncertainty, safety envelopes, and sim-to-real gaps.
  • Integrate classical planning with learned policies where appropriate.
  • Evaluate multi-robot and HRI scenarios with clear evaluation protocols.

Courses in this cluster

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