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Intelligent Robotics in Difficult and Dangerous Environments (TBUF2019)

Project Description

Dangerous and difficult tasks are carried out by human operators on a daily basis which are not safe or appropriate for them to be doing. We should be improving the lives of people by allowing them to perform activites which do not put them at adverse risk. Traditionally Unnmaned systems are used for tasks such as inspection and surveillance. This project will look at opportunities for UAV's, ground vehicles or structure mounted automation solutions (climbing robots) to be either remotley operated or monitored by an operator in dangerous environments such as but not limited to Nuclear, Oil Rigs, Construction, and Ship Building.

The project will investigate the models, dynamics, control and interactions required. The fundamental modelling and control investigation will be underpinned with the development of prototype, proof of concept experimental validation. The expectation is that the project will research novel methods of operating in the environments, which may include control systems, manufacturing methods, advanced sensing and intelligent automation.

The project will have the oppourtunity to work within the Intelligent Automation Centre which is a multidisciplinary centre for advanced robotics and digital automation. The centre undertakes fundamental research to create new intelligent automation solutions that will deliver breakthroughs in productivity, agility, efficiency and resilience. The Centre brings together a wide range of expertise from manufacturing, mechanical, electrical and systems engineering, computer science, design, mathematics and economics. We work very closely with our industrial, RTO and academic partners to deliver excellence from original concept through to industrialisation.

Start date: 1 July, 1 October, 1 January, 1 April.

Entry requirements:

A 2:1 Honours degree (or equivalent) in Mechanical/Manufacturing/Electrical Engineering/ Automation, applied Mathematics or a related subject. A relevant Master’s degree and/or experience in one or more of the following will be an advantage: Mechanical, Robotics/Computer Science or Control Engineering.

How to apply:

All applications are made online, please select the school/department name under the programme name section and include the quote reference number.

Funding Notes

This is an open call for candidates who are sponsored or who have their own funding. If you do not have funding, you may still apply, however Institutional funding is not guaranteed. Outstanding candidates (UK/EU/International) without funding will be considered for funding opportunities which may become available in the School.

Band RA (UK/EU: TBC; international: £17,200), Band RB (UK/EU: TBC; international: £22,350).

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