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Advanced Manufacturing: large scale whole factory and small scale individual robot reconfigurability and flexibility to maximise overall agility

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

The UK manufacturing sector has been rejuvenated largely due to a focus on high value manufacturing. However, to maintain a global competitive advantage the UK Government has identified the need for continued research effort to develop the next generation of advanced manufacturing. One direction that has huge potential is highly reconfigurable and flexible manufacturing. Both small and large enterprises often require agile manufacturing that can adapt on short timescales to changes in product demand. This presents substantial research challenges and a significant change in approach from traditional approaches to manufacturing. This research addresses both large scale whole factory and small scale individual robot reconfigurability and flexibility to maximise overall agility. At the robot level this research focuses on low cost robot manipulator mechatronic design and control and development of corresponding flexible grippers and compliant actuation and human robot interaction. At the factory level this research is addressing optimisation and planning for autonomous reconfigurable factories. A PhD student is sought who can contribute to this research vision. There is strong potential for collaboration with the Advanced Manufacturing Research Centre (http://www.amrc.co.uk).

This project is just one example of the sort of project that might be available in this research group. The precise project will be decided upon in consultation with the supervisor.

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/early February. Specific information will appear: View Website

How good is research at University of Sheffield in General Engineering?

FTE Category A staff submitted: 21.80

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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