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docs: updated README.md
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README.md

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@@ -7,6 +7,8 @@ NUS ME5413 Autonomous Mobile Robotics Final Project
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![ROS Noetic](https://img.shields.io/badge/Tools-ROS_Noetic-informational?style=flat&logo=ROS&logoColor=white&color=2bbc8a)
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![C++](https://img.shields.io/badge/Code-C++-informational?style=flat&logo=c%2B%2B&logoColor=white&color=2bbc8a)
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![Python](https://img.shields.io/badge/Code-Python-informational?style=flat&logo=Python&logoColor=white&color=2bbc8a)
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![GitHub Repo stars](https://img.shields.io/github/stars/NUS-Advanced-Robotics-Centre/ME5413_Final_Project?color=FFE333)
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![GitHub Repo forks](https://img.shields.io/github/forks/NUS-Advanced-Robotics-Centre/ME5413_Final_Project?color=FFE333)
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![cover_image](src/me5413_world/media/gazebo_world.jpg)
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@@ -155,7 +157,7 @@ roslaunch me5413_world navigation.launch
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* Vision
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* Multi-sensor
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* Verify your SLAM accuracy by comparing your odometry with the published `/gazebo/ground_truth/state` topic (`nav_msgs::Odometry`), which contains the gournd truth odometry of the robot.
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* You may want to use tools like [EVO](https://github.com/MichaelGrupp/evo) to quantitativly evaluate the performance of your SLAM algorithm.
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* You may want to use tools like [EVO](https://github.com/MichaelGrupp/evo) to quantitatively evaluate the performance of your SLAM algorithm.
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### 2. Using your own map, navigate your robot
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