Autonomous Navigation of Mobile Robot Based on Flood Fill Algorithm | ||
| Iraqi Journal for Electrical And Electronic Engineering | ||
| Article 1, Volume 12, Issue 1, June 2016, Pages 79-84 PDF (0 K) | ||
| DOI: 10.33762/eeej.2016.110677 | ||
| Author | ||
| Ayad Mohammed Jabbar | ||
| Abstract | ||
| 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 | ||
| Keywords | ||
| Mobile robot; OpenCV; LEGO Mindstorm | ||
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