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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hamadache, M. Jaehoon Kim Dongik Lee |
| Copyright Year | 2012 |
| Description | Author affiliation: School of Electronics Engineering, Kyungpook National University, 1370 Sankyug-dong, Buk-gu, Daegu 702-701, Korea (Hamadache, M.; Jaehoon Kim; Dongik Lee) |
| Abstract | In this paper, a shape recognition technique for a 3-DOF manipulator robot control system is proposed. This work is devised into three parts. First, the shapes were recognized under the Principal Component Analysis (PCA) algorithm and the shape's characteristics (position and orientation) were extracted and stored in the PCA-bases. Second, based on the Graphical User Interface (GUI) tool, a simulation on 3D-space of the 3-DOF manipulator robot was performed. Finally, the PCA-bases were applied as a command-signal to the 3-DOF manipulator robot control system. Several shapes were considered and tested to verify the method. |
| Starting Page | 395 |
| Ending Page | 398 |
| File Size | 706936 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467307826 |
| ISSN | 21588473 |
| e-ISBN | 9781467307840 |
| DOI | 10.1109/MELCON.2012.6196457 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-03-25 |
| Publisher Place | Tunisia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Shape Principal component analysis Manipulators Vectors Eigenvalues and eigenfunctions Covariance matrix |
| Content Type | Text |
| Resource Type | Article |
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