Erfu Yang

Personal profile

Personal Statement

Dr Erfu Yang is a Lecturer under Strathclyde Chancellor's Fellowship Scheme. In 2008, he received his Ph.D. degree in robotics in the interdisciplinary area of robotics and autonomous Systems from the University of Essex, Colchester, UK, within the School of Computer Science and Electronic Engineering. He received his B.E., M.E., and D.Eng. degrees in the field of aerospace propulsion theory and engineering(within Aerospace and Mechanical Engineering disciplines) from the School of Space Technology, Beijing University of Aeronautics and Astronautics, Beijing, China.

Before joining the DMEM, he was a research fellow in the Cognitive Signal Image and Control Processing Research (COSIPRA) Laboratory at the University of Stirling, UK. Previously, as a research fellow he also worked in the Department of Mechanical and Control Systems Engineering (Tokyo Institute of Technology, Japan) and School of Engineering (University of Edinburgh, UK). His main research interests include robotics, autonomous systems, computer vision, image/signal processing, mechatronics, data analytics, manufacturing automation, multi-objective optimizations, and applications of machine learning and artificial intelligence including multi-agent reinforcement learning, fuzzy logic, neural networks, bio-inspired algorithms, and cognitive computation, etc. He has over 110 publications in these areas, including more than 50 journal papers and 10 book chapters.

Dr Yang has been awarded over 15 research grants as PI (principal investigator) or CI (co-investigator). He is the Fellow of the UK Higher Education Academy, committee member of the Chinese Automation and Computing Society in the UK (CACSUK), and the IET SCOTLAND Manufacturing Technical Network. Dr Yang has been a Scientific/Technical Programme Committee member or organizer for a series of international conferences and workshops. He is an associate editor for the Cognitive Computation journal published by Springer.

Keywords

Robotics
Autonomous Systems
Manufacturing Automation
Mechatronics
Nonlinear Control
Computer Vision
Machine Learning
Cognitive Computation
Optimization Algorithms
Artificial Intelligence
Multi-agent Systems
Process Monitoring
Fault Diagnosis
System Modelling and Simulation

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Synthetic aperture radar Engineering & Materials Science

Robotics Engineering & Materials Science

Robots Engineering & Materials Science

Neural networks Engineering & Materials Science

Reinforcement learning Engineering & Materials Science

Controllers Engineering & Materials Science

Target tracking Engineering & Materials Science

Motion planning Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2012 2023

12 Active
15 Finished

Development of Thickness Control Technology using AI Controls for Blown Film Air Ring

Yang, E.

Innovate UK

1/11/19 → 31/10/21

Project: Research

Novel Path Planning Algorithms and Smart Navigation Strategies of Multiple Autonomous Robots for the Visual Inspection of Asset Integrity in Confined Space

Yang, E. & Yan, X.

1/10/19 → 31/03/23

Project: Research - Studentship

Research Output 1997 2019

51 Article
36 Conference contribution book
14 Paper
3 Poster
11 More

2 Citations (Scopus)

A benchmark image dataset for industrial tools

Luo, C., Yu, L., Yang, E., Zhou, H. & Ren, P., 1 Jul 2019, In : Pattern Recognition Letters. 125, p. 341-348 8 p.

Research output: Contribution to journal › Article

Robots

Artificial intelligence

Industrial plants

Industry

An optimal approach to anytime task and path planning for autonomous mobile robots in dynamic environments

Wong, C., Yang, E., Yan, X-T. & Gu, D., 8 Aug 2019, Towards Autonomous Robotic Systems - 20th Annual Conference, TAROS 2019, Proceedings: 20th Annual Conference, TAROS 2019, London, UK, July 3–5, 2019, Proceedings, Part II. Althoefer, K., Konstantinova, J. & Zhang, K. (eds.). Cham, p. 155-166 12 p. (Lecture Notes in Computer Science; vol. 11650).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

Motion planning

Mobile robots

Planning

Costs