Abstract
Autonomous UAV Navigation Using Reinforcement Learning
Highlights
With the rapid advancements in the technology, the fields of robotics and mechatronics have drastically upgraded in terms of their role in the modern business and different industries
The drone is initially spawned in a random location on the map, and the final destination is set to a predefined location
We have concluded from the above considerations that most of the works only cover a few of the above considerations
Summary
With the rapid advancements in the technology, the fields of robotics and mechatronics have drastically upgraded in terms of their role in the modern business and different industries. UAV known as a drone is an aircraft that flies without any human pilot and are controlled remotely. Stabilization is needed for an outdoor environment for a drone to operate against external forces. For both situations, a stable flight is immensely important for a drone to function effectively. This can help a quadcopter to survive in extreme external factors e.g., heavy rain or wind as it will be able to prevent crashing. In order to use these applications for navigation and stabilization, UAVs and drones need to be supplied with a series of sensors e.g., depth cameras, accelerometer, gyroscope, magnetometer, etc
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