Lug Position and Orientation Detection for Robotics Using Maximum Trace Bee Colony
- Type
- Article
- Citation
- Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences, v.E101A, no.2, pp.549 - 552
- Issued Date
- 2018-02
- Abstract
- 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.
- Publisher
- IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
- ISSN
- 1745-1337
- Appears in Collections:
- Department of AI > 1. Journal Articles
- 파일 목록
-
-
관련 파일이 존재하지 않습니다.
-
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.