Reinforcement Learning for UAV Attitude Control
نویسندگان
چکیده
منابع مشابه
Adaptive fuzzy control of satellite attitude by reinforcement learning
The attitude control of a satellite is often characterized by a limit cycle, caused by measurement inaccuracies and noise in the sensor output. In order to reduce the limit cycle, a nonlinear fuzzy controller was applied. The controller was tuned by means of reinforcement learning without using any model of the sensors or the satellite. The reinforcement signal is computed as a fuzzy performanc...
متن کاملUAV Attitude Control using the Visual Horizon
We present a technique for measuring, controlling, and stabilizing the attitude of a UAV by using a camera to monitor the visual horizon. A vision-based algorithm incorporating color and intensity information is used to detect the horizon by segmenting the ground from the sky. The attitude of the aircraft is then measured using the position, shape, and orientation of the horizon profile in the ...
متن کاملAutonomous UAV Navigation Using Reinforcement Learning
Unmanned aerial vehicles (UAV) are commonly used for missions in unknown environments, where an exact mathematical model of the environment may not be available. This paper provides a framework for using reinforcement learning to allow the UAV to navigate successfully in such environments. We conducted our simulation and real implementation to show how the UAVs can successfully learn to navigat...
متن کاملReinforcement Learning for Control
Reinforcement learning (RL) offers a principled way to control nonlinear stochastic systems with partly or even fully unknown dynamics. Recent advances in areas such as deep learning and adaptive dynamic programming (ADP) have led to significant inroads in applications from robotics, automotive systems, smart grids, game playing, traffic control, etc. This open track provides a forum of interac...
متن کاملReinforcement learning for robot control
Writing control code for mobile robots can be a very time-consuming process. Even for apparently simple tasks, it is often difficult to specify in detail how the robot should accomplish them. Robot control code is typically full of “magic numbers” that must be painstakingly set for each environment that the robot must operate in. The idea of having a robot learn how to accomplish a task, rather...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ACM Transactions on Cyber-Physical Systems
سال: 2019
ISSN: 2378-962X,2378-9638
DOI: 10.1145/3301273