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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Bibliographic Details
Main Author: Yang, Shaobo
Other Authors: Jiang Xudong
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
TD3
ROS
Online Access:https://hdl.handle.net/10356/176676
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Institution: Nanyang Technological University
Language: English
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