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

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)...

Publication DOI: https://doi.org/10.1017/S0263574724002091
Divisions: College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies
College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies > Applied AI & Robotics
Aston University (General)
Funding Information: This work was funded through French National Research Agency Grants OPTOBOTS (ANR-21-CE33-0003).
Additional Information: 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.
Publication ISSN: 1469-8668
Last Modified: 05 Nov 2025 08:14
Date Deposited: 04 Nov 2025 16:20
Full Text Link:
Related URLs: https://www.cam ... 6BCB060426C41F0 (Publisher URL)
PURE Output Type: Article
Published Date: 2024-12-05
Published Online Date: 2024-12-05
Accepted Date: 2024-11-04
Authors: Choudhary, Sunil
Sadak, Ferhat (ORCID Profile 0000-0003-2391-4836)
Gerena, Edison
Haliyo, Sinan

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