High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

Unmanned Aerial Vehicle using Reinforcement Learning

Author(s):

Utkrisht Sharma , amity university noida

Keywords:

Reinforcement Learning, Unmanned Aerial Vehicle

Abstract

The project is based on building an AI based Drone using IOT which would help in taking smart decisions on the bases of smart predictions through multiple sensors which would be reducing the daily workload by scheduling our daily activities.It will also be build to measure the flight path taken by the drone which would be happening through Artificial Intelligence. The project is based on building an AI based Drone using IOT which would help in taking smart decisions on the bases of smart predictions through multiple sensors which would be reducing the daily workload by scheduling our daily activities. It will also be build to measure the flight path taken by the drone which would be happening through Artificial Intelligence. Short Comings: Weaponized AI drones can cause destruction to great amount autonomously without need of people. Hence it is dangerous if AI technology based devices including drones are put in wrong hands. As we have seen with smartphones, AI powered drones can make human beings depend on AI (Artificial Intelligence) technology and hence will slowly decrease their mental capabilities. Innovations: AI-driven technologies are emerging to help society work more efficiently, and this technology can address monitoring areas. IOT robots are poised to become a highly valued application of AI in any sector be it medical industry, military facilities etc. Drone innovation is to find the best application of “sense and avoid” technology to use in UAV drones. Which in turn, will make available new opportunities to companies and individuals with ideas on different ways to use this technology, while at the same time meeting the approval of FFA regulations

Other Details

Paper ID: IJSRDV7I31172
Published in: Volume : 7, Issue : 3
Publication Date: 01/06/2019
Page(s): 1852-1857

Article Preview

Download Article