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Conference Papers Year : 2015

Hybrid Automatic Visual Servoing Scheme using Defocus Information for 6-DoF Micropositioning

Abstract

— Direct photometric visual servoing uses only the pure image information as a visual feature, instead of using classic geometric features such as points or lines. It was demonstrated efficiently in 6 degrees of freedom (DoF) positioning. However, in micro-scale, using only image intensity as a visual feature performs unsatisfactorily in cases where the photometric variation is low, such as motions along vision sensor's focal axis under a high magnification. In order to improve the performance and accuracy in those cases, an approach using hybrid visual features is proposed in this paper. Image gradient is employed as a visual feature on z axis while image intensity is used on the other 5 DoFs to control the motion. A 6-DoF micro-positioning task is accomplished by this hybrid visual servoing scheme. The experimental results obtained on a parallel positioning micro-stage under a digital microscope show the robustness and efficiency of the proposed method.
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Dates and versions

hal-01120734 , version 1 (26-02-2015)

Identifiers

  • HAL Id : hal-01120734 , version 1

Cite

Le Cui, Eric Marchand, Sinan Haliyo, Stéphane Régnier. Hybrid Automatic Visual Servoing Scheme using Defocus Information for 6-DoF Micropositioning. IEEE Int. Conf. on Robotics and Automation, ICRA'15, May 2015, Seattle, United States. ⟨hal-01120734⟩
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