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ROS2 Goal Navigation Simulation

A ROS2 simulation where a differential-drive robot navigates to user-defined goal coordinates using lidar-based mapping, path planning, and velocity control.

This project was completed as part of the WATonomous ASD Admissions Assignment. The goal was to give a simulated robot basic autonomous navigation: receive a target point, understand the surrounding environment, plan a path, and move toward the goal.

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ROS2 autonomy simulation with costmap generation, LiDAR processing, goal navigation, and obstacle avoidance.

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  • C++ 37.6%
  • Python 24.0%
  • Shell 16.6%
  • Dockerfile 10.9%
  • CMake 10.9%