Dr Erfu Yang

Publications

Hierarchical estimation methods based on the penalty term for controlled autoregressive systems with colored noises

Sun Huanqi, Xiong Weili, Ding Feng, Yang Erfu

International Journal of Robust and Nonlinear Control (2024)

https://doi.org/10.1002/rnc.7323

Iterative parameter identification algorithms for transformed dynamic rational fraction input–output systems

Miao Guangqin, Ding Feng, Liu Qinyao, Yang Erfu

Journal of Computational and Applied Mathematics Vol 434 (2023)

https://doi.org/10.1016/j.cam.2023.115297

Hierarchical recursive least squares parameter estimation methods for multiple‐input multiple‐output systems by using the auxiliary models

Xing Haoming, Ding Feng, Pan Feng, Yang Erfu

International Journal of Adaptive Control and Signal Processing Vol 37, pp. 2983-3007 (2023)

https://doi.org/10.1002/acs.3669

An overview of path planning for autonomous robots in smart manufacturing

Jiang Meiling, Yang Erfu, Dobie Gordon

2023 28th International Conference on Automation and Computing (ICAC) (2023)

https://doi.org/10.1109/icac57885.2023.10275149

Ultrasonic and IMU based high precision UAV localisation for the low cost autonomous inspection in oil and gas pressure vessels

Yang Beiya, Yang Erfu, Yu Leijian, Niu Cong

IEEE Transactions on Industrial Informatics Vol 19, pp. 10523-10534 (2023)

https://doi.org/10.1109/TII.2023.3240874

AMCD : an accurate deep learning-based metallic corrosion detector for MAV-based real-time visual inspection

Yu Leijian, Yang Erfu, Luo Cai, Ren Peng

Journal of Ambient Intelligence and Humanized Computing Vol 14, pp. 8087-8098 (2023)

https://doi.org/10.1007/s12652-021-03580-4

More publications

Professional Activities

STEP - Becoming a Strathclyde Scholar (of teaching and learning)

Participant

16/6/2023

Examiner

Examiner

9/6/2023

The pro2 network+ (External organisation)

Member

24/5/2023

The Scientific Machine Learning Seminar

Participant

16/5/2023

Poster on "A novel deep neural network-based emotion analysis system for automatic detection of mild cognitive impairment"

Participant

3/5/2023

Robust Sensing, Detection and Localisation for UAV-Based Smart Visual Inspection in Complex Environments

Invited speaker

27/4/2023

More professional activities

Projects

KTP - Glenrath Farms Ltd. Development of an intelligent collaborative robot system for smart farm manufacturing (iCoBOTS).

Yang, Erfu (Principal Investigator) Maier, Anja (Co-investigator) Masood, Tariq (Co-investigator)

01-Jan-2024 - 31-Jan-2026

Intelligent Human-Robot Collaboration for Future Advanced Healthcare Applications

Yang, Erfu (Principal Investigator) Liang, Sha (Co-investigator) Ait Ameur, Mohamed Adlan (Researcher)

The aim of this project is to investigate an intelligent human-robot interaction for advanced healthcare applications, which will leverage advanced computer vision, robotics, artificial intelligence to enable patent-oriented medical and health functions. Together with the cutting-edge human friendly robot system such as cobots to form a new advanced intelligent human-robot system, realise the robot healthcare applied in patients’ home, hospitals and other complex environments to achieve autonomous activities, active identification, assistance and emergency treatment, and alarm functions of sudden diseases, and remote coordination with caregivers and doctors to provide accurate support and assistance for their care, and complete the care and treatment of the elderly and patients.

01-Jan-2023 - 30-Jan-2026

Cobot – Human Interaction PhD Case Study

Yang, Erfu (Principal Investigator) Othman, Uqba (Researcher)

16-Jan-2022 - 31-Jan-2024

Adaptive Path Planning and Visual Navigation of Autonomous Inspection Robots in Challenging Environments

Yang, Erfu (Principal Investigator) Dobie, Gordon (Co-investigator) Jiang, Meiling (Researcher)

This project aims to fundamentally investigate the novel adaptive path planning and visual navigation of robots (such as an industrial robot manipulator, Cobot, UAV etc.) for autonomous inspection by enabling holistic control and interactions of robots in complex, dynamic and changing environments such that safety and interaction of nearby humans/operators/other objects etc. can be maintained while the inspection tasks are taking place. At the same time, the efficiency and flexibility of the inspection process is also achieved when process variations or environmental changes take place.

01-Jan-2022 - 30-Jan-2025

MOEA/D-PPR: Path Planning of Robots in Complex Environments via the Multiobjective Evolutionary Algorithm Based on Decomposition

Yang, Erfu (Principal Investigator) Dobie, Gordon (Co-investigator)

31-Jan-2022 - 30-Jan-2025

Flexible Human-Robot Collaborative Inspection for In-Process Quality Control in Smart Manufacturing

Yang, Erfu (Principal Investigator) Luo, Xichun (Co-investigator) Othman, Uqba (Researcher)

The overall research aim of this project is to fundamentally investigate the novel flexible human-robot collaborative inspection strategies by enabling holistic control and interactions of collaborative robots in complex human-robot collaborative manufacturing environments such that safety and interaction of nearby humans/operators can be maintained while the in-process inspection and quality control are being done. At the same time, the efficiency and flexibility of the manufacturing process is also achieved when process variations or environmental changes occur in advanced manufacturing systems.
To achieve this aim, the proposed project will be focusing on the following three research objectives: 1) A comprehensive review of the state of the art in collaborative robotics and human-robot interactions towards smarter manufacturing in the digital age. 2) Investigation of novel concepts and algorithms for intelligent control, motion planning, and machine learning. 3) Development and testing of prototype sensing, Inspection with machine vision and NDT, path planning, and control system in the complex human-robot collaborative manufacturing environments.

01-Jan-2021 - 30-Jan-2024

More projects