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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yunong Zhang Dongsheng Guo Jun Li Kene Li |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Information Science and Technology, Sun Yat-sen University, Guangzhou 510006, China (Yunong Zhang; Dongsheng Guo; Jun Li; Kene Li) |
| Abstract | In this paper, the latest result that the bi-criteria redundancy-resolution schemes at different levels (i.e., the joint-velocity, — acceleration and — torque levels) can be unified into a quadratic-programming (QP) problem formulation, is presented and summarized for redundant robot arms with joint physical limits. In addition, comparison on the three schemes is presented for further investigation. The presented QP-based formulation, subject to equality, inequality and bound constraints simultaneously, is then solved online via a primal-dual neural network based on linear variation inequalities (LVI). Computer-simulation results based on PUMA560, PA10 and multi-link planar robot arms (specially, a three-link planar robot arm in this paper) have demonstrated the efficacy of the bi-criteria neural-weighting schemes, as well as the resultant QP-based unification of robots' redundancy resolution. |
| Starting Page | 3410 |
| Ending Page | 3415 |
| File Size | 366574 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424487370 |
| e-ISBN | 9781424487387 |
| DOI | 10.1109/CCDC.2011.5968705 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-05-23 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Bi-criteria Acceleration level Redundancy Torque level Quadratic program Manipulators Minimization Educational institutions Redundancy resolution Acceleration Velocity level Joints |
| Content Type | Text |
| Resource Type | Article |
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