Sistem Navigasi pada Robot Pemadam Api Menggunakan Wall Following dan Logika Fuzzy

Abstract

A robot needs a good navigation to complete its task. One way to provide navigation capabilities on robots is artificial intelligence. Navigation capabilities using artificial intelligence may be associated with the ability to accept input from a range of sensors. However, inputs from the environment are uncertain so that a simple modeling is not sufficiently representative. Fuzzy logic is expected to overcome these uncertainties. This research aims to develop the navigation system on a fire-fighter robot using wall following algorithms and fuzzy logic. The system is simulated on KRPAI 2013 environment where the robot is expected to move by following the wall, extinguishing the fire, and returning to home. It is shown that the robot has successfully completed the mission on KRPAI 2013 with a success rate of 87.5%.