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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Miao Hao Zengqi Sun Fujii, M. Wei Song |
| Copyright Year | 2007 |
| Description | Author affiliation: Tsinghua Univ., Beijing (Miao Hao) |
| Abstract | In this paper, an uncalibrated dynamic visual servoing algorithm is proposed and analyzed. No calibration or robot model is needed. After a brief introduction of the development of uncalibrated visual servoing, the theoretical backgrounds and mathematical requirements of recursive least square (RLS) are stated respectively. Then the core uncalibrated visual servoing algorithm, in RLS form, or more technically, VS-RLS as well as its performance analysis, is investigated. After that, the experimental 6DOF Puma560 simulation of static and moving target tracking is demonstrated. Finally the weak and strength of the algorithm as well as the potential and promising improvements are discussed. |
| Starting Page | 64 |
| Ending Page | 69 |
| File Size | 325139 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424409907 |
| DOI | 10.1109/ICSMC.2007.4413822 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-10-07 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visual servoing Least squares methods Resonance light scattering Heuristic algorithms Algorithm design and analysis Calibration Robots Performance analysis Target tracking Potential well |
| Content Type | Text |
| Resource Type | Article |
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