视觉伺服
稳健性(进化)
人工智能
像素
计算机视觉
计算机科学
视觉控制
可视化
图像(数学)
生物化学
化学
基因
作者
Brahim Tamadazte,N. Le-Fort Piat,Éric Marchand
出处
期刊:IEEE-ASME Transactions on Mechatronics
[Institute of Electrical and Electronics Engineers]
日期:2011-04-21
卷期号:17 (4): 728-736
被引量:50
标识
DOI:10.1109/tmech.2011.2128878
摘要
This paper demonstrates an accurate nanopositioning scheme based on a direct visual servoing process. This technique uses only the pure image signal (photometric information) to design the visual servoing control law. With respect to traditional visual servoing approaches that use geometric visual features (points, lines ...), the visual features used in the control law is the pixel intensity. The proposed approach has been tested in term of accuracy and robustness in several experimental conditions. The obtained results have demonstrated a good behavior of the control law and very good positioning accuracy. The obtained accuracies are 89 nm, 14 nm, and 0.001 ° in the x -, y -, and θ-axes of a positioning platform, respectively.
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