Masters by Research scholarship in Intelligent Automation - Digital twin for optimization of robotic leg deboning efficiency

Masters by Research scholarship in Intelligent Automation - Digital twin for optimization of robotic leg deboning efficiency

The real world may be limited to a single robotic workspace or a workstation that mechanically separates meat from bone during deboning. As a long-term objective, a digital twin of the robotic cutting and/or mechanical separation could control the process in a 'forward learning' environment, provided that the models and digital twins of the components are accurate.

To bridge the knowledge gap, this proposed activity aims to create a 'digital twin' of knowledge regarding the primal leg pieces of beef, lamb, and pork. The digital twin must represent the leg primal in sufficient detail to evaluate yield and speed performances, as well as other factors that influence efficiency, to optimize them. The research can potentially draw on previous studies in this field, including the characterization of meat.

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$50,000

Open now

30/12/2025

1 (one)

a) A Bachelor's degree requiring at least four years of full-time study in the following engineering disciplines or computer science, awarded with honours: Mechanical, Mechatronics, Electronics or Computer Engineering
b) Meet participating university Master by Research admission requirements.
c) Meet university English language requirements.
d) Enrol as a full-time Master by Research student.
e) Be prepared to be located at the project location(s) in Melbourne, AU or Tokyo, Japan that the host industry has approved and, if required, comply with the host requirement.
f) Familiarity with the Japanese language is a plus but not compulsory

Applicants are required to send a CV, Academic Transcripts, and a Cover Letter to Dr Ehsan Asadi, ehsan.asadi@rmit.edu.au

Automation with worker-friendly meat production solution - https://mayekawa.com/applications/meat/

Deboning Machines (DAS) - https://mayekawa.com/products/deboning_machines/

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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.

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