Autonomous swarms for digitising manufacturing activities at University of Sheffield on FindAPhD.com

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Dr J Oyekan Applications accepted all year round

About the Project

Swarm algorithms offer a number of promises in the form of multiple agents working together to achieve a task, robustness against disturbances and multiple sensing agents to digitise the environment to mention a few. However, developing algorithms to harness their potential on a variety of platforms and for various applications is still a research subject.

This PhD will research the development of control and actuation algorithms, sensing and processing techniques as well as frameworks for use-case driven applications in various sectors including manufacturing.

Platforms to be used in this research include Unmanned Aerial Vehicles, Unmanned Ground Vehicles, Kilobots to mention a few.

This work will be carried out in collaboration with the renowned University of Sheffield Advanced Manufacturing Research Centre (AMRC) including the AMRC’s £43 million state-of-the-art ‘Factory 2050’ - the UK’s first fully reconfigurable assembly and component manufacturing research facility.

Funding Notes

Applicants can apply for a Scholarship from the University of Sheffield but should note that competition for these Scholarships is highly competitive. it will be possible to make Scholarship applications from the Autumn with a strict deadline in late January 2020. Specific information is available at:
https://www.sheffield.ac.uk/acse/research-degrees/scholarships

References

Ideally, students should have a background in computing/engineering, robotics, programming and embedded systems.

Where will I study?

University of Sheffield

Our University has a reputation for world-class teaching and research excellence across a variety of disciplines. At Sheffield, you’re welcomed into a diverse, supportive community of scholars from all over the world.

Autonomous swarms for digitising manufacturing activities

University of Sheffield Department of Automatic Control and Systems Engineering