Image-based Visual Servoing of Helical Microswimmers for Arbitrary Path Following at Low Reynolds Numbers | |
Yanming Guan; Tiantian Xu; Jia Liu; Xinyu Wu | |
2017 | |
会议地点 | Vancouver, Canada |
英文摘要 | Magnetically actuated microswimmers have shown great potentials in multiple application scenarios, attracting researchers to investigate their swimming characteristics and controlling methods. However, among those studies, only a small number of closed-loop control schemes have been applied, which is crucial for the accuracy and repeatability in applications. In this paper, we proposed an Image-Based Visual Servoing(IBVS) method for arbitrary planar path following using features directly presented in image space as feedbacks. During experiments we found that IBVS guarantees convergence while not requiring camera calibrations. Furthermore, the proposed path following method is intuitive and flexible, and provides great potentials in various applications. |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/11885] ![]() |
专题 | 深圳先进技术研究院_集成所 |
作者单位 | 2017 |
推荐引用方式 GB/T 7714 | Yanming Guan,Tiantian Xu,Jia Liu,et al. Image-based Visual Servoing of Helical Microswimmers for Arbitrary Path Following at Low Reynolds Numbers[C]. 见:. Vancouver, Canada. |
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