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Adaptive Autonomous Navigation of Multiple Optoelectronic Microrobots in Dynamic Environments

Mennillo, Laurent; Bendkowski, Christopher; Elsayed, Mohamed; Edwards, Harrison; Zhang, Shuailong; Pawar, Vijay; Wheeler, Aaron R; ... Shaw, Michael; + view all (2022) Adaptive Autonomous Navigation of Multiple Optoelectronic Microrobots in Dynamic Environments. IEEE Robotics and Automation Letters , 7 (4) 10.1109/lra.2022.3194308. Green open access

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Abstract

The optoelectronic microrobot is an advanced light-controlled micromanipulation technology which has particular promise for collecting and transporting sensitive microscopic objects such as biological cells. However, wider application of the technology is currently limited by a reliance on manual control and a lack of methods for simultaneous manipulation of multiple microrobotic actuators. In this article, we present a computational framework for autonomous navigation of multiple optoelectronic microrobots in dynamic environments. Combining closed-loop visual-servoing, SLAM, real-time visual detection of microrobots and obstacles, dynamic path-finding and adaptive motion behaviors, this approach allows microrobots to avoid static and moving obstacles and perform a range of tasks in real-world dynamic environments. The capabilities of the system are demonstrated through micromanipulation experiments in simulation and in real conditions using a custom built optoelectronic tweezer system.

Type: Article
Title: Adaptive Autonomous Navigation of Multiple Optoelectronic Microrobots in Dynamic Environments
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/lra.2022.3194308
Publisher version: https://doi.org/10.1109/lra.2022.3194308
Language: English
Additional information: This work was supported by the UK Economic and Social Research Council [grant number ES/T011866/1] and the Natural Sciences and Engineering Research Council of Canada (NSERC), [funding reference number ALLRP 548593-19]. For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) license to any Author Accepted Manuscript version arising from this submission.
Keywords: Cameras, Calibration, Microscopy, Simultaneous localization and mapping, Task analysis, Electrodes, Dynamics
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10153169
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