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In most robot applications robots are entirely built with one method of locomotion either wheels or joints. However, for the most complex environments, more than one method of locomotion is required for a robot to transverse that environment. This research programme will consider robot controllers capable of simultaneously handling different locomotion methods. The novel controller(s) will be compared against other controllers in literature such as classic neural networks starting with human-designed morphologies that use joints and wheels such as rover-like, tricycle-like and bipedal-wheeled robots and later on with evolved robots. The experiment work will be carried out in simulation and in hardware.
How to apply:
Applicants should apply via the University’s online application system . Please read the application guidance first so that you understand the various steps in the application process.
Funding
This is a self-funded project and you will need to have sufficient funds in place (eg from scholarships, personal funds and/or other sources) to cover the tuition fees and living expenses for the duration of the research degree programme. Please check the School of Physics, Engineering and Technology website for details about funding opportunities at York.
Research output data provided by the Research Excellence Framework (REF)
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