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# EE346 Mobile Robot Navigation and Control | ||
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## Introduction | ||
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> Learning the basics of autonomous navigation by programming a mobile robot (TurtleBot3) with a laser range finder (LiDAR). @Prof. ZHANG Hong | ||
This course will cover the following topics: | ||
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- ROS1 | ||
- Spatial representation | ||
- LiDAR | ||
- Mobile robot kinematics and control | ||
- Robot localization: particle filter, kalman filter, and AMCL | ||
- SLAM with Gmapping | ||
- Path planning: Dijkstra, A*, and DWA | ||
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## Lab | ||
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Use turtlebot3 and ros1 to verify the theoretical knowledge in the course. | ||
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The following repo contains the some lab code: | ||
- [JuXinyan/EE346-Mobile-Robot-Navigation-and-Control](https://github.com/JuXinyan/EE346-Mobile-Robot-Navigation-and-Control) | ||
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## Project | ||
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Project may differ from semester to semester. Here are some good examples: | ||
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> 2022 Spring | ||
Lane Following and Navigation. | ||
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- [silvery107/ee346-capstone-control](https://github.com/silvery107/ee346-capstone-control) | ||
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> 2023 Fall | ||
Pole detecting and parking. | ||
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- [Gralerfics/SUSTech-EE346-Mobile-Robot-Navigation-and-Control-Laboratory](https://github.com/Gralerfics/SUSTech-EE346-Mobile-Robot-Navigation-and-Control-Laboratory) | ||
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