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An advanced course examining how robots learn to perceive and act, combining machine perception with decision-making algorithms. Students study 3D vision, reinforcement and imitation learning, and model-based approaches, and analyze problems such as exploration and human-robot interaction through both theory and experiment.
- Level
- Graduate
- Department
- ENG
- Credits
- 4
- Prerequisites
- MA 225, EK 103, EK 381, EK 128, EC 414
Last verified: August 22, 2026
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