Aqil Aqthobilrobbany, Anik Nur Handayani, Dyah Lestari, Muladi, Rosa Andrie Asmara, Osamu Fukuda
Autonomous robot has attracted many researchers to develop because of its intelligent and capability to perform task without explicit human control. One of the main indicators of autonomous robot is navigation system that is embedded in robot's intelligent system. This research present design of unmanned robot boat which its entirely system runs autonomously with raspberry pi as control and navigation system. Raspberry pi is used to the process of image processing in detecting the boat track using camera based on HSV filter method. This method detects the boat track based on the basic color, brightness color level, and color strength of the detected track so the track detection result is more accurate. The running test of boat robot shows that the parameters of HSV method which is applicable with characteristic of red color object detection are with threshold value 'hue' 137-179, 'saturation' 147-255, and 'value' 80-255, therefore it can be concluded that using HSV filter as method of image processing are responsive and representative in adjusting the navigation of robot boat automatically. © 2020 IEEE.
Universitas Negeri Malang, Department of Electrical Engineering, Malang, East Java, Indonesia; Politeknik Negeri Malang, Teknologi Informasi, Malang, Indonesia; Saga University, Graduate School of Science and Engineering, Japan
