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Cooperative Control of Multi-Robot Systems using Machine Learning

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

Project Description

Multi-robot systems have been recognized to have great potential in many application areas such as cooperative surveillance, cooperative cargo transportation, and so on. Many interesting theoretical and practical problems in multi-robot systems have attracted extensive research attention in recent years. However, most of the existing cooperative control laws are designed based on the conventional linear and nonlinear control theories.

In this project, the student will explore the roles of new methods such as machine leaning in the design of multi-robot cooperative control.

Funding Notes

Applicants can apply for a Scholarship from the University of Sheffield but should note that competition for these Scholarships is highly competitive.
https://www.sheffield.ac.uk/acse/research-degrees/scholarships

References

Prospective students should have a background in control engineering, robotics, or computer science.

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)

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