Augmented Reality-Based Visualization and Simulation of Autonomous Unmanned Aerial Vehicle Control System

Although the incorporation of sensing, actuators, and controllers make robots powerful systems, simulating them is a big challenge. While it is possible to assemble a simulator from the innumerable graphics, kinematics, physics and libraries, the architecture and control procedure are crucial to shaping the interaction of these elements and consequently the general performance of the robotic system. This paper reviews the capability of two different robotic simulation platforms to simulate different robotic systems that allow for direct interface of various control techniques implemented in MATLAB. This direct interface with Augmented Reality (AR) and simulation models allows more accessibility to test and evaluate the designed control systems to a general-public by reducing the model operation complexity. Using AR simulators reduces the cost, strengthens productivity, and increases the quality of design by offering a flexible diagnostic and evaluation method using AR.