Current research funding in the Division of Mechanical Engineering, Robotics and Design
£3,210,136

Division of Mechanical Engineering, Robotics and Design

Research Projects

The following are current funded research projects taking place within the research division:

Graphene layer (Getty Image)
Graphene Flagship Core Project 3


Principal Investigator: James BUSFIELD
Co-investigator(s): Nick DUGGAN, Yang HAO, Emiliano BILOTTI, Dimitrios PAPAGEORGIOU, Wei TAN, Colin CRICK, Han ZHANG, Himadri GUPTA and Nicola PUGNO
Funding source: EU Commission - Horizon 2020
Start: 01-04-2020  /  End: 31-03-2023
Amount: £376,501

This grant will cofund the establishing of a mini-CDT with 5 PhD studentships in Graphene materials at QMUL.

Drinking Water from Rain: a standalone green energy powered rainwater purification system


Principal Investigator: Hasan SHAHEED
Co-investigator(s): PETER MCOWAN and Pankaj VADGAMA
Funding source: Royal Society
Start: 01-12-2019  /  End: 30-11-2021
Amount: £74,000

Hierarchical optimal energy management of electric vehicles


Principal Investigator: Guang LI
Funding source: EU Commission - Horizon 2020
Start: 01-07-2019  /  End: 30-06-2021
Amount: £179,947

It has been widely recognized that vehicle electrification provides a potential way for the EU to move towards a more decarbonized transport system and sustainable circular economy. The overarching objective of this project is to develop a novel computationally efficient hierarchical adaptive optimal control framework incorporating transportation information and drivers’ habits suitable for energy management of multi-source EVs.

The National Centre for Nuclear Robotics (NCNR)


Principal Investigator: Kaspar ALTHOEFER
Co-investigator(s): Andrea Cavallaro, Lorenzo JAMONE, Ildar FARKHATDINOV, Miles Hansard and Stefan Poslad
Funding source: EPSRC Engineering and Physical Sciences Research Council
Start: 02-10-2017  /  End: 30-04-2021
Amount: £1,020,239

Nuclear facilities require a wide variety of robotics capabilities, engendering a variety of extreme RAI challenges. NCNR brings together a diverse consortium of experts in robotics, AI, sensors, radiation and resilient embedded systems, to address these complex problems. In high gamma environments, human entries are not possible at all. In alpha-contaminated environments, air-fed suited human entries are possible, but engender significant secondary waste (contaminated suits), and reduced worker capability. We have a duty to eliminate the need for humans to enter such hazardous environments wherever technologically possible. Hence, nuclear robots will typically be remote from human controllers, creating significant opportunities for advanced telepresence. However, limited bandwidth and situational awareness demand increased intelligence and autonomous control capabilities on the robot, especially for performing complex manipulations. Shared control, where both human and AI collaboratively control the robot, will be critical because i) safety-critical environments demand a human in the loop, however ii) complex remote actions are too difficult for a human to perform reliably and efficiently.

Thermal neutron distribution within a small reactor core
Predictive Modelling for Nuclear Engineering (Early Career Fellowship)


Principal Investigator: Andrew BUCHAN
Funding source: E.P.S.R.C
Start: 19-06-2017  /  End: 18-12-2020
Amount: £464,161

To develop numerical models that predict the coupled neutronics-thermal hydraulics physics with nuclear reactor cores and to quantify the uncertainties in these predictions.

Launch & Recovery Enhanced Sea States


Principal Investigator: Guang LI
Funding source: E.P.S.R.C.
Start: 01-08-2017  /  End: 04-12-2020
Amount: £303,819

The project aims to develop a novel approach to predicting a suitable time instant at which to initiate an Launch and Recovery operation, together with a confidence measure, and then to control the execution of the subsequent lift operation once initiated.

Adaptive hierarchical model predictive control of wave energy converter - Stage 3


Principal Investigator: Guang LI
Funding source: WES Wave Energy Scotland
Start: 13-05-2019  /  End: 12-11-2020
Amount: £461,346

TRANSIT
TRANSIT


Principal Investigator: Jun CHEN
Funding source: EPSRC Engineering and Physcial Sciences Research Council
Start: 01-06-2017  /  End: 01-10-2020
Amount: £252,934

TRANSIT (Towards a Robust Airport Decision Support System for Intelligent Taxiing) is a four site project between Queen Mary University of London, the University of Sehffield, University of Stirling and Cranfield University, funded by the UK EPSRC (grant numbers EP/N029496/1, EP/N029356/1, EP/N029577/1). The lead at each site is, respectively, Dr Jun Chen, Prof Mahdi Mahfouf, Dr John Woodward and Dr Mudassir Lone, with Dr Chen as the overall project director. The project also has an extensive list of industrial partners, which currently includes Air France – KLM, BAE Systems, Manchester Airport Plc, Rolls-Royce Plc, Simio LLC and Zurich Airport. The TRANSIT project aims to develop a unified routing and scheduling system which will be more Realistic, Robust, Cost-effective and Configurable, producing better conformance of flight crew in response to 4 Dimensional Trajectories.

Electroadhesion for anchoring robots in challenging environments


Principal Investigator: Ketao ZHANG
Co-investigator(s): HAREESH GODABA
Funding source: EPSRC Engineering and Physical Sciences Research Council
Start: 01-10-2019  /  End: 30-09-2020
Amount: £77,189