Three-dimensional optical microrobot orientation estimation and tracking using deep learning

Sunil Choudhary; Ferhat Sadak; Edison Gerena; Sinan Haliyo

doi:10.1017/S0263574724002091

Three-dimensional optical microrobot orientation estimation and tracking using deep learning

Sunil Choudhary, Ferhat Sadak, Edison Gerena, Sinan Haliyo

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

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Abstract

Optical microrobots are activated by a laser in a liquid medium using optical tweezers. To create visual control loops for robotic automation, this work describes a deep learning-based method for orientation estimation of optical microrobots, focusing on detecting 3-D rotational movements and localizing microrobots and trapping points (TPs)...

Original language	English
Pages (from-to)	616-637
Number of pages	22
Journal	Robotica
Volume	43
Issue number	2
Early online date	5 Dec 2024
DOIs	https://doi.org/10.1017/S0263574724002091
Publication status	E-pub ahead of print - 5 Dec 2024

Bibliographical note

Copyright © The Author(s), 2024. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike licence (https://creativecommons.org/licenses/by-nc-sa/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the same Creative Commons licence is used to distribute the re-used or adapted
article and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use.

Funding

This work was funded through French National Research Agency Grants OPTOBOTS (ANR-21-CE33-0003).

Access to Document

10.1017/S0263574724002091Licence: CC BY-NC-SA 4.0

three-dimensional-optical-microrobot-orientation-estimation-and-tracking-using-deep-learning
Copyright © The Author(s), 2024. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike licence (https://creativecommons.org/licenses/by-nc-sa/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the same Creative Commons licence is used to distribute the re-used or adapted article and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use.
Final published version, 1.65 MBLicence: CC BY-NC-SA 4.0

Cite this

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Three-dimensional optical microrobot orientation estimation and tracking using deep learning

Abstract

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