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  1. Create a Gazebo World - Simulating a robotic environment with Gazebo

  2. ROS Essentials - Write ROS Nodes of your own in C++.

  3. Localization - Using Gaussian filters to estimate noisy sensor readings, and how to estimate a robot’s position relative to a known map of the environment with Monte Carlo Localization (MCL).

  4. Mapping and SLAM - Creating a Simultaneous Localization and Mapping (SLAM) implementation with ROS packages and C++ and combining mapping algorithms

  5. Path Planning and Navigation - Combining SLAM and Navigation into a home service robot that can autonomously transport objects in your home!

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