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Current research funding in the Division of Mechanical Engineering, Robotics and Design
£1,397,279

Division of Mechanical Engineering, Robotics and Design

Research Projects

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

System-level Co-design and Control of Large Capacity Wave Energy Converters with Multiple PTOs


Principal Investigator: Guang LI
Funding source: EPSRC Engineering and Physical Sciences Research Council
Start: 01-05-2021  /  End: 30-04-2024
Amount: £522,970

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.

LianaBot


Principal Investigator: Kaspar ALTHOEFER
Funding source: Innovate UK
Start: 01-04-2021  /  End: 31-03-2022
Amount: £74,313

GrowBot - Eversion robot for the construction sector


Principal Investigator: Kaspar ALTHOEFER
Funding source: Innovate UK
Start: 01-04-2021  /  End: 31-03-2022
Amount: £149,549

Computational Design and Control of Quadruped Robots with Bio-inspired Leg Mechanisms for Dynamic Locomotion in Challenging Terrain


Principal Investigator: Ketao ZHANG
Funding source: Royal Society
Start: 31-03-2021  /  End: 30-03-2022
Amount: £20,000

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.