Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
Pose calibration method of 6-D.O.F. Cable driven parallel robot using hybrid recurrent neural network
- Authors
- Choi, S.-H.; Heo, J.-M.; Park, K.-S.; Ha, H.
- Issue Date
- 2018
- Publisher
- American Society of Mechanical Engineers (ASME)
- Citation
- ASME-JSME 2018 Joint International Conference on Information Storage and Processing Systems and Micromechatronics for Information and Precision Equipment, ISPS-MIPE 2018
- Journal Title
- ASME-JSME 2018 Joint International Conference on Information Storage and Processing Systems and Micromechatronics for Information and Precision Equipment, ISPS-MIPE 2018
- ISSN
- 0000-0000
- Abstract
- Cable driven parallel robots (CDPRs) have been widely used in precision Industries. However, an error occurs in repetitive motion of the CDPR because of the elongation and recovery of cable. Also, it is difficult to apply the numerical cable model because of its complexity. In this paper, we use the frequency based H-RNN method for accurate kinematics. H-RNN predicted more accurately compared with LSTM and RNN algorithms. Copyright © 2018 ASME.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - 공과대학 > 기계공학과 > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- Park, Kyoung Su
- Engineering (기계·스마트·산업공학부(기계공학전공))