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.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace