mansipawar29/RL-Project
Simulation of a drone to implement Reinforcement Learning
This project helps robotics engineers and researchers train autonomous drones to navigate complex environments. It takes a simulated drone, defined within a Robot Operating System (ROS) environment, and applies various reinforcement learning algorithms. The output is a drone that can autonomously learn to fly to a specified destination, avoid obstacles, and maintain a low altitude without direct human intervention.
No commits in the last 6 months.
Use this if you are a robotics engineer or AI researcher looking to experiment with and apply reinforcement learning algorithms to drone navigation within a simulated ROS environment.
Not ideal if you are looking for a ready-to-deploy solution for physical drones, or if you are not familiar with ROS and reinforcement learning concepts.
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Python
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Last pushed
Dec 15, 2021
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