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Lug Position and Orientation Detection for Robotics Using Maximum Trace Bee Colony
Phuc Hong NGUYEN Jaehoon (Paul) JEONG Chang Wook AHN
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2018/02/01
Online ISSN: 1745-1337
Type of Manuscript: LETTER
Category: General Fundamentals and Boundaries
artificial bee colony, object detection,
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We propose a framework to detect lug position and orientation in robotics that is insensitive to the lug orientation, incorporating a proposed optimization based on the artificial bee colony genetic algorithm. Experimental results show that the proposed optimization method outperformed traditional artificial bee colony and other meta-heuristics in the considered cases and was up to 3 times faster than the traditional approach. The proposed detection framework provided excellent performance to detect lug objects for all test cases.