Autonomous biomimetic solid dispensing using a dual-arm robotic manipulator

Jiang, Ying; Fakhruldeen, Hatem; Pizzuto, Gabriella; Longley, Louis; He, Anbang; Taguchi, Dai; Clowes, Rob; Rankin, Nicola; Cooper, Andrew I.

doi:10.1039/d3dd00075c

Cited by 19 publications

(8 citation statements)

References 28 publications

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“…Moreover, these captured experimental procedures should be machine-readable, allowing for the translation of human ideas into machine actions. Many research efforts to capture experiment procedural data, [25][26][27][28][29] automate experiments and measurements, [6][7][8]18,30,31 and incorporate ML into automation [32][33][34] exist. However, only a few recent efforts exist to systematically capture electrochemistry procedural data and/or automate electrochemistry experiments.…”

Section: Introductionmentioning

confidence: 99%

ExpFlow: a graphical user interface for automated reproducible electrochemistry

Duke,

Mahmoudi,

Kaur

et al. 2024

Digital Discovery

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Section: Introductionmentioning

confidence: 99%

ExpFlow: a graphical user interface for automated reproducible electrochemistry

Duke,

Mahmoudi,

Kaur

et al. 2024

Digital Discovery

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“…In most recent research, the ABB YuMi collaborative robot is used to automate solid dispensing tasks. [ 6 ] Authors describe how they transferred actions previously performed by a researcher to be made by a Cobot, which, as they claim, would allow scientists to focus more on mentally stimulating tasks and reduce the risk of exposure to dangerous chemicals. In the article related to the recent COVID‐19 outbreak, [ 7 ] authors propose using a Cobot in washing and pipetting actions during serological tests in understaffed facilities.…”

Section: Introductionmentioning

confidence: 99%

Robotization of Synthesis and Analysis Process of Graphene Oxide‐Based Membrane

Meshkov,

Nikitina,

Aliev

et al. 2024

Advanced Intelligent Systems

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The use of collaborative robots (Cobots) for materials development in chemical laboratories is currently of high priority. Herein, the Cobot is used for autonomous continued analysis and synthesis of graphene oxide–polyethyleneimine‐based membrane to unify a method and prospects for big data collection are shown. Membranes have already demonstrated a selective affinity to potassium cations and promised to adjust permeability for other cations by changing pH. The Cobot allows a variation of membrane properties by its composition modification. The present strategy combines a novel perspective of material production by Cobots and the application of machine learning. Moreover, the current approach can be adapted for different modern chemical laboratories for various scientific research, and the proper workflow is provided.

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“…). While a plethora of automated tools are now commercially available or have been reported in the literature, 1–7 many basic tasks that are performed in a laboratory setting remain challenging to implement through automated methods. In particular, the transfer of liquids with viscosities larger than 100 cP is a task that is still challenging to automate, 8 while being of high relevance to the fields of biology, polymer, and formulation sciences.…”

Section: Introductionmentioning

confidence: 99%