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Autonomous Mobile Soccer Robot Localization using Particle Filter Through Omnivision
Nur Alif Mardiyah, Novendra Setyawan, Mas Nurul Achmadiyah

Universitas Muhammadiyah Malang, Universitas Muhammadiyah Malang, Politeknik Negeri Malang


Abstract

Where am I? is the primary question, which is the representation of localization, that the mobile soccer robot must be answered. Dead reckoning is most popular method that used in wheeled mobile robot. However, the increasing position error is the main topic of dead reckoning method. Furthermore, In this paper the localization of mobile soccer robot using particle filter through Omnivision is proposed. The sensor model and motion model of particle filter is also discussed, where the sensor model is obtained from segmentation and feature extraction of the soccer field landmark. The experimental result showed that the proposed method estimated the robot position accurately with 15% error.

Keywords: Mobile Robot, Soccer Robot, Localization, Particle Filter

Topic: Mechatronics and Robotics Technologies

Link: https://ifory.id/abstract/HWcg36MbaJyj

Conference: The 1st Annual Advanced Technology, Applied Science, and Engineering Conference (ATASEC 2019)

Plain Format | Corresponding Author (Novendra Setyaawan)

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