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Start up a Gazebo simulation and runs a maze map, a robot will use Q-Learning to follow the walls of the maze through the use of lidar sensors, and will build a Q-Table from its trials in order to follow the walls

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gwdina/Reinforcement-Learning-for-Robot-Wall-Following

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Project-_2_Reinforcement_Learning_for_Robot_Wall_Following_D3_Reinforcement_Learning

Start up a Gazebo simulation and runs a maze map, a robot will use Q-Learning to follow the walls of the maze through the use of lidar sensors, and will build a Q-Table from its trials in order to follow the walls

The video shows the use of the completed Q-table.

Access to Gazebo, the worlds used, and other things for this project can be obtained from a request, please email gwdina@gmail.com The files size and complexity can not be uploaded to GitHub at the current time

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Start up a Gazebo simulation and runs a maze map, a robot will use Q-Learning to follow the walls of the maze through the use of lidar sensors, and will build a Q-Table from its trials in order to follow the walls

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