Autonomous navigation of mobile robot based on flood fill algorithm

Author

Jabbar, Ayyad Muhammad

Source

The Iraqi Journal of Electrical and Electronic Engineering

Issue

Vol. 12, Issue 1 (30 Jun. 2016), pp.79-84, 6 p.

Publisher

University of Basrah College of Engineering

Publication Date

2016-06-30

Country of Publication

Iraq

No. of Pages

6

Main Subjects

Mechanical Engineering

Topics

Abstract EN

The autonomous navigation of robots is an important area of research.

It can intelligently navigate itself from source to target within an environment without human interaction.

Recently, algorithms and techniques have been made and developed to improve the performance of robots.

It’s more effective and has high precision tasks than before.

This work proposed to solve a maze using a Flood fill algorithm based on real time camera monitoring the movement on its environment.

Live video streaming sends an obtained data to be processed by the server.

The server sends back the information to the robot via wireless radio.

The robot works as a client device moves from point to point depends on server information.

Using camera in this work allows voiding great time that needs it to indicate the route by the robot.

American Psychological Association (APA)

Jabbar, Ayyad Muhammad. 2016. Autonomous navigation of mobile robot based on flood fill algorithm. The Iraqi Journal of Electrical and Electronic Engineering،Vol. 12, no. 1, pp.79-84.
https://search.emarefa.net/detail/BIM-691580

Modern Language Association (MLA)

Jabbar, Ayyad Muhammad. Autonomous navigation of mobile robot based on flood fill algorithm. The Iraqi Journal of Electrical and Electronic Engineering Vol. 12, no. 1 (2016), pp.79-84.
https://search.emarefa.net/detail/BIM-691580

American Medical Association (AMA)

Jabbar, Ayyad Muhammad. Autonomous navigation of mobile robot based on flood fill algorithm. The Iraqi Journal of Electrical and Electronic Engineering. 2016. Vol. 12, no. 1, pp.79-84.
https://search.emarefa.net/detail/BIM-691580

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 84

Record ID

BIM-691580