A comprehensive graduate-level sequence on Simultaneous Localization and Mapping (SLAM), covering probabilistic foundations, particle filters, grid mapping, FastSLAM, and graph-based optimization. Students will analyze and implement the core algorithms that allow autonomous robots to navigate unknown environments.

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