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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sekimoto, M. Kawamura, S. Ishitsubo, T. |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Robotics, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu, Shiga 525-8577, Japan (Kawamura, S.; Ishitsubo, T.) || Graduate School of Science and Engineering for Research, University of Toyama, 3190 Gofuku, 930-8555, Japan (Sekimoto, M.) |
| Abstract | The basis-motion torque composition (BMC), which generates feedforward torque for precise joint-trajectory tracking of a multi-joint robot arm, has been recently suggested. It is based on four arithmetical operations of time-series torque data of several motions preliminarily obtained by the iterative learning control. The remarkable advantage of BMC is to generate desired feedforward torque without prior information of dynamics parameters. However, the class of torque generated by the BMC has been restricted. The paper presents an enhanced BMC which permits generation of motions with different motion-velocity profiles among joints of a multi-joint robot. The algorithm is presented and the validity of algorithm is confirmed through numerical simulations in the case of a two-joint robot arm under the influence of gravity. Furthermore, a class of applicable systems of BMC approach is discussed. |
| Starting Page | 670 |
| Ending Page | 676 |
| File Size | 1182747 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424466740 |
| ISSN | 21530866 |
| e-ISBN | 9781424466764 |
| DOI | 10.1109/IROS.2010.5649129 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-18 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Torque Feedforward neural networks Joints Robots Dynamics Trajectory Force |
| Content Type | Text |
| Resource Type | Article |
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