DATA 262 - Embodied Artificial Intelligence Systems

3 unit(s)
Learn the foundations and emerging research in Emboided AI, where intelligent agents learn through interaction with both simulated and real-world environments. Topics include multimodal perception, spatial reasoning, action and control, language grounding, simulation platforms, and the use of large foundation models for embodied tasks. Students will explore evaluation benchmarks and gain hands-on experience by implementing embodied agents, culminating in a project that bridges theory and practice.

Prerequisite(s): DATA 255 (with a grade of “C” or better).
Grading: Letter Graded

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