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Combination of Sugeno Fuzzy System and Evidence Theory for NAO Robot in Colors Recognition

Abstract : Nowadays, robotics technologies act more and more important roles in our industrial life. However, developing a robot with intelligent behaviors that follow to human reasoning and perception is really a challenge. This paper introduces an artificial intelligence technique that helps a NAO robot to recognize the color of a required object. Sugeno fuzzy system and evidence theory are used in combination to firstly solve the problem of color recognition based on human perception, and then fuse information from many sources to provide better decisions. These methodologies obtain a good recognition quality through real time experimentations.
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https://hal.archives-ouvertes.fr/hal-01230233
Contributor : Didier Coquin <>
Submitted on : Wednesday, November 18, 2015 - 10:05:27 AM
Last modification on : Friday, March 26, 2021 - 11:18:04 AM

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Thanh Long Nguyen, Reda Boukezzoula, Didier Coquin, Stéphane Perrin. Combination of Sugeno Fuzzy System and Evidence Theory for NAO Robot in Colors Recognition. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), Aug 2015, Istanbul, Turkey. pp.1-8, ⟨10.1109/FUZZ-IEEE.2015.7337900⟩. ⟨hal-01230233⟩

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