Dr Erfu Yang
Senior Lecturer
Design, Manufacturing and Engineering Management
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Prize And Awards
- TOP CITED ARTICLE 2021-2022
- Recipient
- 21/2/2023
- Excellent Paper
- Recipient
- 7/1/2022
- TOP CITED ARTICLE 2018-2019
- Recipient
- 5/2/2020
- Best Paper Award
- Recipient
- 24/1/2019
- Best Paper Award Nominee
- Recipient
- 24/9/2017
- Best Poster (Application) Award
- Recipient
- 21/6/2017
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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
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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
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
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Contact
Dr
Erfu
Yang
Senior Lecturer
Design, Manufacturing and Engineering Management
Email: erfu.yang@strath.ac.uk
Tel: 574 5279