• United Kingdom

Accepting PhD Students

PhD projects

EY1: Biologically-Inspired Multi-Objective Design Optimisation for Space Mechatronic Systems

In future space missions, autonomous, intelligent and massively distributed mechatronic systems will play important roles. The space application domain presents unique challenges to the design of mechatronic systems. For example, due to the extremely limited and expensive resources available onboard, design optimisations are particularly needed for both power savings and performance improvement in satellite-based sensing and imaging. Thus, the development of efficient multi-objective design optimisation algorithms capable of optimising the space-based mechatronic systems is essential under the stringent requirements for power consumption, cost, mass, reliability, and performance improvement, etc.
The aim of this research is to develop novel and efficient bio-inspired optimisation approaches for multi-objective design-space exploration of space mechatronic systems. Its main research objectives are summarised as below:
1. Develop new bio-inspired algorithms for design exploration of space mechatronic systems under multiple design and environmental constraints.
2. Investigate algorithm performance, convergence, and design efficiency trade-off.
3. Investigate the computing requirement of bio-inspired algorithms for real-time response to application requirements under different environmental constraints.
4. Investigate the designs produced by the developed bio-inspired algorithms in terms of multiple objectives, such as cost, mass, reliability, and performance, etc.

EY 2: Brain-inspired Intelligent Control of Multiple Autonomous Systems for Space Applications.
In space application, multiple autonomous systems (MASs) can be more effective than a single autonomous system, for example, in information gathering and exploration tasks with multiple planetary robots. The potential for MASs cooperating together to accomplish challenging tasks has drawn together researchers from several fields, including robotics, control systems, and computer science. Biologically-inspired and intelligent control systems for MASs, including for Mars’ rovers and DARPA Challenges, have received a lot of research attention. For example, a fault-tolerant, Biologically Inspired System for Map-based Autonomous Rover Control has been developed in NASA’s Jet Propulsion Laboratory for long duration missions with multiple autonomous vehicles.
The general scientific objectives of this research are to address two fundamental research challenges related to the development of novel intelligent coordinated control of multi-agent systems, particularly in the context of MASs for space applications. The first research challenge is related to real-time information processing and utilisation, i.e., how to quickly and efficiently extract and analyse information acquired by the MASs. The second research challenge is concerned with designing adaptive autonomous controllers by exploiting the extracted and analysed information to cooperatively control the MASs, and also improve the MAS’s capabilities, such as surveillance, target acquisition and tracking, etc.
To realise these general scientific objectives, novel brain-inspired approaches are particularly appealing for extracting information, processing the extracted information into the design, online tuning, and adaptive switching of autonomous multi-agent controllers under complex and dynamic environments.

EY 3: Towards an Integrated Cognitive Control System for Autonomous Vehicles
The field of autonomous vehicle is a rapidly growing one which promises improved performance, fuel economy, emission levels, comfort and safety. The UK government is determined to address the challenges of tackling climate change, maintaining energy security, and solving transportation in a way that minimises costs and maximises benefits to the economy. Among all sources of CO2 emissions in the UK, the energy supply accounts for about 40%, followed by the transport for over 25%, and emissions from cars and vans account for 70% in domestic transport sector. Intelligent and efficient control is one of key issues in developing fully autonomous vehicles.
Given the similarity between the problem' domains of autonomous vehicle’s control and action selection in animals, this research aims to leverage new results from psychology and neurobiology and apply them to the control of autonomous vehicles. Towards this end, an integrated cognitive control system for autonomous vehicles is targeted in this research. We aim to harness general strategies for control based on high level analysis of human behavioural control.
The primary objective of this research is to uplift research collaborations from the current separate, point-to-point collaborations to a broader and deeper context with a more systematic, more coherent, and more coordinated synergised approach for developing an integrated cognitive control system for autonomous vehicles towards more reliable, more flexible and efficient, and more environmental friendly control solutions.

EY 4:Novel Intelligent and Optimal Decision-Making Paradigm for Autonomous Manufacturing
Today’s manufacturing has become more competitive as manufacturers need innovative and extremely agile processes along with increasing manufacturing automation and informatics complexity. The main aim of this research is to develop novel intelligent and optimal decision-making paradigm for autonomous manufacturing in an Industry 4 environment.
The focus of this research will be on the development of innovative smart decision-making strategies to coordinate multiple agents and make collaborative and optimal decision and take group actions by concurrently dealing with multiple objectives under extreme environmental constrains arising from both internal (such as manufacturing process disturbances, e.g., one industrial robot breaks down) and external (e.g., partial and inconsistent information). In the smart factory, all the manufacturing resources are modelled as intelligent agents/entities. Each agent has the ability to percept, reason, make decision, and take actions without (or with limited) human interferences.
The key research challenge lies in the intelligent and optimal decision-making mechanism for the agents in the smart manufacturing system to independently make decisions and plan their own tasks based on their own reasons about their environment, state/situation and the likely actions taken by other agents.

EY 5: Advanced Artificial Intelligence in Automatic Human-Machine Knowledge Transfer
This research is concerned with the way that how to automatically transfer human expert/operator’s knowledge obtained in existing processes and experiences into intelligent agents (e.g., industrial robots) to advance the capabilities of intelligent agents in an autonomous manufacturing system. Toward this end, an advanced intelligent system consisting of intelligent knowledge-based expert system and artificial neural network (ANN) models will be explored in this research. The use of ANN models will make the system intelligent by learning patterns from existing manufacturing data and process knowledge and use them for predicting the behaviour of manufacturing, which would result in reducing the lead time and cost considerably.

19972021

Research output per year

If you made any changes in Pure these will be visible here soon.

Activities

Filter
Organiser of major conference

2020 International Conference on Life System Modeling and Simulation & International Conference on Intelligent Computing for Sustainable Energy and Environment

Erfu Yang (Chair)

30 Jan 2020 → …

Activity: Participating in or organising an event typesOrganiser of major conference

The 2020 China–Scotland-ASEAN Robotics Automation Conference for the Industry 4.0 age

Erfu Yang (Chair)

1 Dec 2019 → …

Activity: Participating in or organising an event typesOrganiser of major conference

IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE (WCCI) 2020

Erfu Yang (Organiser)

20 Dec 201924 Jul 2020

Activity: Participating in or organising an event typesOrganiser of major conference

The 10 th China Scotland Signal and Image Processing Research Academy Workshop

Erfu Yang (Chair)

20 Oct 2019

Activity: Participating in or organising an event typesOrganiser of major conference

25th IEEE International Conference on Automation and Computing, ICAC 2019

Erfu Yang (Chair)

7 Sep 2019

Activity: Participating in or organising an event typesOrganiser of major conference

IET Scottish Workshop on Design and Manufacture for Productivity

Erfu Yang (Organiser)

4 Sep 2019

Activity: Participating in or organising an event typesOrganiser of major conference

NTU-AFRC Route to Impact Robotics Seminar

Erfu Yang (Organiser)

23 Nov 2018

Activity: Participating in or organising an event typesOrganiser of major conference

Engage with Strathclyde event: Flexible and Intelligent Industrial Robots for Applications in Autonomous Manufacturing

Erfu Yang (Organiser)

3 May 2018

Activity: Participating in or organising an event typesOrganiser of major conference

SP Technology Automation Expo

Erfu Yang (Participant)

24 May 2018

Activity: Participating in or organising an event typesOrganiser of major conference

The 9th International Conference on Brain-Inspired Cognitive System​

Erfu Yang (Chair)

1 Feb 20189 Jul 2018

Activity: Participating in or organising an event typesOrganiser of major conference

2017 International Conference on Life System Modeling and Simulation & International Conference on Intelligent Computing for Sustainable Energy and Environment

Erfu Yang (Participant)

22 Sep 201724 Sep 2017

Activity: Participating in or organising an event typesOrganiser of major conference

The 11th NASA/ESA Conference on Adaptive Hardware and Systems

Erfu Yang (Member of programme committee)

1 Feb 201724 Jul 2017

Activity: Participating in or organising an event typesOrganiser of major conference

2017 International Conference on Life System Modeling and Simulation & International Conference on Intelligent Computing for Sustainable Energy and Environment

Erfu Yang (Chair)

20 Jan 201724 Sep 2017

Activity: Participating in or organising an event typesOrganiser of major conference

2017 IEEE International Conference on Mechatronics and Automation

Erfu Yang (Member of programme committee)

1 Dec 20169 Aug 2017

Activity: Participating in or organising an event typesOrganiser of major conference

The 10th International Conference on Software, Knowledge, Information Management and Application (SKIMA 2016)

Erfu Yang (Member of programme committee)

1 Sep 201617 Dec 2016

Activity: Participating in or organising an event typesOrganiser of major conference

8th International Conference on Brain Inspired Cognitive Systems, BICS 2016

Erfu Yang (Member of programme committee)

1 May 201628 Nov 2016

Activity: Participating in or organising an event typesOrganiser of major conference

The 2016 IEEE International Conference on Mechatronics and Automation (ICMA 2016)

Erfu Yang (Participant)

1 Mar 201610 Aug 2016

Activity: Participating in or organising an event typesOrganiser of major conference

The 8th International Conference on Brain Inspired Cognitive Systems (BICS 2016)

Erfu Yang (Member of programme committee)

1 Feb 201630 Oct 2016

Activity: Participating in or organising an event typesOrganiser of major conference

10th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2016

Erfu Yang (Chair)

1 Feb 201617 Dec 2016

Activity: Participating in or organising an event typesOrganiser of major conference

The 7th International Conference on Brain Inspired Cognitive Systems (BICS 2015)

Erfu Yang (Chair)

11 Dec 201513 Dec 2015

Activity: Participating in or organising an event typesOrganiser of major conference

The 15th IEEE International Conference on Ubiquitous Computing and Communications (IUCC-2016)

Erfu Yang (Member of programme committee)

20 Dec 201516 Dec 2016

Activity: Participating in or organising an event typesOrganiser of major conference

The 5th International Conference on Engineering Mathematics and Physics (ICEMP 2016)

Erfu Yang (Member of programme committee)

25 Aug 20159 Apr 2016

Activity: Participating in or organising an event typesOrganiser of major conference

The 2015 IEEE International Conference on Mechatronics and Automation (ICMA 2015)

Erfu Yang (Member of programme committee)

2 Aug 20155 Aug 2015

Activity: Participating in or organising an event typesOrganiser of major conference

The 2015 International Joint Conference on Neural Networks-Special Session "Emerging Methodologies for Big Data Integration"

Erfu Yang (Member of programme committee)

12 Jul 201517 Jul 2015

Activity: Participating in or organising an event typesOrganiser of major conference

The 2nd International Conference on Control Engineering and Electronics Engineering (CCEEE 2015)

Erfu Yang (Member of programme committee)

18 Apr 201519 Apr 2015

Activity: Participating in or organising an event typesOrganiser of major conference

2015 International Conference on Power Control and Optimization (ICPCO 2015)

Erfu Yang (Member of programme committee)

18 Apr 201519 Apr 2015

Activity: Participating in or organising an event typesOrganiser of major conference

2014 NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2014)

Erfu Yang (Member of programme committee)

14 Jul 201418 Jul 2014

Activity: Participating in or organising an event typesOrganiser of major conference