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Visual Perception System of EROS Humanoid Robot Soccer

Visual Perception System of EROS Humanoid Robot Soccer

Aulia Khilmi Rizgi, Anhar Risnumawan, Fernando Ardila, Edi Sutoyo, Ryan Satria Wijaya, Ilham Fakhrul Arifin, Martianda Erste Anggraeni, Tutut Herawan
Copyright: © 2020 |Volume: 16 |Issue: 4 |Pages: 19
ISSN: 1548-3657|EISSN: 1548-3665|EISBN13: 9781799805144|DOI: 10.4018/IJIIT.2020100105
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MLA

Rizgi, Aulia Khilmi, et al. "Visual Perception System of EROS Humanoid Robot Soccer." IJIIT vol.16, no.4 2020: pp.68-86. http://doi.org/10.4018/IJIIT.2020100105

APA

Rizgi, A. K., Risnumawan, A., Ardila, F., Sutoyo, E., Wijaya, R. S., Arifin, I. F., Anggraeni, M. E., & Herawan, T. (2020). Visual Perception System of EROS Humanoid Robot Soccer. International Journal of Intelligent Information Technologies (IJIIT), 16(4), 68-86. http://doi.org/10.4018/IJIIT.2020100105

Chicago

Rizgi, Aulia Khilmi, et al. "Visual Perception System of EROS Humanoid Robot Soccer," International Journal of Intelligent Information Technologies (IJIIT) 16, no.4: 68-86. http://doi.org/10.4018/IJIIT.2020100105

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Abstract

In this paper, a humanoid robot soccer perception system, consisting of a ball, field detection, and localization, is developed in order to deal with the new rules in RoboCup. Color segmentation and image morphology are improved together with a more sophisticated machine learning algorithm to detect a soccer ball robustly. Those algorithms are still favorable due to its real-time running in most of the embedded platform. For localization, the field is divided into pre-deĆ°ned grids and employing k-NN (k-nearest neighbor) to determine the robot location in the grids. Pre-defined grids are used to reduce computation due to matching with a map. Experiment results show that the developed system relatively well for adapting to the new rules update.

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