Reinforcement learning based mobile robot self-navigation with static obstacle avoidance
In this project, we explore the application of reinforcement learning for enhancing mobile robot self-navigation capabilities, specifically focusing on the challenge of static obstacle avoidance. Utilizing the Gazebo simulation environment integrated with the Robot Operating System (ROS), we impleme...
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| 格式: | Final Year Project |
| 語言: | English |
| 出版: |
Nanyang Technological University
2024
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/176676 |
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| 機構: | Nanyang Technological University |
| 語言: | English |