About this document
Flight Control of A Multicopter Using Reinforcement Learning by leonardo.bigott is a document available to read on EtoBox.
This document discusses the application of Reinforcement Learning in the flight control of multicopters. It presents a proof-of-concept where an agent is trained in the Airsim simulation environment to achieve stable flight conditions by controlling its roll, pitch, yaw, and throttle. The research highlights the potential of using intelligent systems for automation and robotics in the context of unmanned aerial vehicles (UAVs).
- Author
- leonardo.bigott
- Language
- EN