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Udacity - Robotics NanoDegree Program

RoboND-PathPlanning

Comprehensive capstone for theAutonomous navigation project, where the problem is to implement all 3 steps of autonomous navigation: Perception, Mapping and Localization, Response/Path Planning.

  • Created and configured ROS packages to create an autonomous agent that can navigate a simulated house environment.
  • Modeled a virtual environment using the Gazebo simulator
  • Mapped the virtual environment by performing Simultaneous Localization and Mapping (SLAM) using the gmapping ROS package.
  • Used AMCL to enable the robot to localize itself within the generated map.
  • Created markers in Rviz to visualize waypoints used as destinations to which the robot must navigate.