Uncalibrated vision-based control for optical manipulation of microscopic particles
Vision is a useful information for manipulation tasks since it provides a large spectrum of details about the environment. The visual feedback information can be used to guarantee the manipulation accuracy and improve robustness to uncertainty. In this paper, a vision-based adaptive control metho...
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sg-ntu-dr.10356-1018152019-12-06T20:44:55Z Uncalibrated vision-based control for optical manipulation of microscopic particles Li, X. Cheah, Chien Chern School of Electrical and Electronic Engineering IFToMM International Symposium on Robotics and Mechatronics (3rd : 2013 : Singapore) DRNTU::Engineering::Electrical and electronic engineering Vision is a useful information for manipulation tasks since it provides a large spectrum of details about the environment. The visual feedback information can be used to guarantee the manipulation accuracy and improve robustness to uncertainty. In this paper, a vision-based adaptive control method is proposed for micromanipulation using optical tweezers. A general model of robotic manipulator is introduced in the optical tweezers system so that the movement of the laser beam is controlled by vision-based closed-loop robotic manipulation techniques. A new adaptive Jacobian controller is proposed for the regulation problem in presence of camera calibration errors. The stability of the closed-loop system is analyzed with consideration of the dynamics of both the particle and the robotic manipulator. Simulations are presented to illustrate the performance of the proposed method. ASTAR (Agency for Sci., Tech. and Research, S’pore) Accepted version 2014-01-28T03:50:17Z 2019-12-06T20:44:55Z 2014-01-28T03:50:17Z 2019-12-06T20:44:55Z 2013 2013 Conference Paper Li, X., & Cheah C. C. (2013). Uncalibrated vision-based control for optical manipulation of microscopic particles. Proceedings of the 3rd IFToMM International Symposium on Robotics and Mechatronics, 1-10. https://hdl.handle.net/10356/101815 http://hdl.handle.net/10220/18721 http://rpsonline.com.sg/proceedings/9789810777449/html/031.xml en © 2013 ISRM. 6 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Li, X. Cheah, Chien Chern Uncalibrated vision-based control for optical manipulation of microscopic particles |
description |
Vision is a useful information for manipulation tasks since it provides a large
spectrum of details about the environment. The visual feedback information
can be used to guarantee the manipulation accuracy and improve robustness
to uncertainty. In this paper, a vision-based adaptive control method is
proposed for micromanipulation using optical tweezers. A general model of
robotic manipulator is introduced in the optical tweezers system so that the
movement of the laser beam is controlled by vision-based closed-loop robotic
manipulation techniques. A new adaptive Jacobian controller is proposed
for the regulation problem in presence of camera calibration errors. The
stability of the closed-loop system is analyzed with consideration of the
dynamics of both the particle and the robotic manipulator. Simulations are
presented to illustrate the performance of the proposed method. |
author2 |
School of Electrical and Electronic Engineering |
author_facet |
School of Electrical and Electronic Engineering Li, X. Cheah, Chien Chern |
format |
Conference or Workshop Item |
author |
Li, X. Cheah, Chien Chern |
author_sort |
Li, X. |
title |
Uncalibrated vision-based control for optical manipulation of microscopic particles |
title_short |
Uncalibrated vision-based control for optical manipulation of microscopic particles |
title_full |
Uncalibrated vision-based control for optical manipulation of microscopic particles |
title_fullStr |
Uncalibrated vision-based control for optical manipulation of microscopic particles |
title_full_unstemmed |
Uncalibrated vision-based control for optical manipulation of microscopic particles |
title_sort |
uncalibrated vision-based control for optical manipulation of microscopic particles |
publishDate |
2014 |
url |
https://hdl.handle.net/10356/101815 http://hdl.handle.net/10220/18721 http://rpsonline.com.sg/proceedings/9789810777449/html/031.xml |
_version_ |
1681045788061335552 |