معرفی
Dr Erfu Yang is a Senior Lecturer in the Robotics and Autonomous Systems (RAS) Group within the Department of Design, Manufacturing and Engineering Management (DMEM) at the University of Strathclyde, UK. He holds a Ph.D. in Robotics from the University of Essex (2008) and has held research fellow positions at the University of Stirling, Tokyo Institute of Technology, and the University of Edinburgh. He is an active researcher, principal investigator, and supervisor in advanced robotics and intelligent systems.
- Ph.D. in Robotics, University of Essex, UK (2008)
- Research Fellow, University of Stirling, UK
- Research Fellow, Tokyo Institute of Technology, Japan
- Research Fellow, University of Edinburgh, UK
Dr Yang's research focuses on robotics, autonomous systems, computer vision, AI, machine learning, mechatronics, and optimization. His work integrates multi-agent reinforcement learning, fuzzy logic, neural networks, and bio-inspired algorithms into applications such as manufacturing automation, healthcare robotics, and autonomous inspection. He emphasizes intelligent human-robot collaboration, safety, and adaptability in dynamic environments.
The recent publications reflect a strong trend in applying deep learning and AI to industrial quality control, cognitive assessment with social robots, autonomous navigation, and multi-objective path planning. His work bridges theoretical algorithm development with practical deployment in smart manufacturing and healthcare. Topics span from ResNet-based inspection systems to bio-inspired robotic design and fractional-order system modeling.
- TOP CITED ARTICLE 2023-2024 Recipient
- Top 2% Scientists Recipient
- IEEE Outstanding Service Award
- Best Poster for RoVER VIP Project at ESD@Strath Conference 2023
- TOP CITED ARTICLE 2021-2022 Recipient
- Excellent Paper Recipient
- Best Paper Award (2019)
- Best Paper Award Nominee (2017)
Dr Yang has secured over 15 research grants as PI or CI, including projects on intelligent cobots for farming, human-robot healthcare collaboration, and autonomous inspection in manufacturing. He supervises multiple PhD and research students and leads initiatives in smart manufacturing and assistive robotics. He is an Associate Editor for Cognitive Computation (Springer) and serves on IEEE and IET committees, including as Publicity Co-Chair for IEEE UK and Ireland Industry Applications Chapter.
He is actively involved in the Robotics and Autonomous Systems research group at DMEM, leads the Bio-Inspired Robotics Design and Development project, and utilizes equipment such as the NMIS-DMEM Cobot UR10e. His work contributes to UN Sustainable Development Goals in industry, innovation, and health.
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