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Publications

Hicks Matthew, Lei Tingjun, Sellers Timothy, Luo Chaomin,

2025 IEEE International Conference on Robotics and Biomimetics (ROBIO) 2025 IEEE International Conference on Robotics and Biomimetics (ROBIO) 2025 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 269-276 (2026)

Sellers Timothy, Lei Tingjun, Luo Chaomin, , Bi Zhuming

IEEE Transactions on Human-Machine Systems, pp. 1-10 (2026)

, , Zhang Yin-Ping

IEEE Transactions on Medical Robotics and Bionics Vol 8, pp. 127-139 (2026)

Huang Congyue, Tan Wei, Ou Miaohua, , Li Yun

IEEE Internet of Things Journal (2026)

,

The 7th UK Robot Manipulation Workshop (2026)

Short Daniel L, Lei Tingjun, Liu Lantao, Luo Chaomin,

2025 International Joint Conference on Neural Networks (IJCNN) International Joint Conference on Neural Networks 2025 2025 International Joint Conference on Neural Networks (IJCNN) (2025)

Professional Activities

Participant

17/7/2025

Host

16/7/2025

Editorial board member

8/7/2025

Participant

30/6/2025

Participant

15/6/2025

Participant

11/6/2025

Projects

Yang, Erfu (Principal Investigator) Millar, Richard (Co-investigator)

The overall research aim of this project is to fundamentally investigate the novel Cobot-enabled nondestructive quality control 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. It is also critical to understand how to ensure the efficiency and flexibility of the manufacturing process can be achieved when process variations or environmental changes occur in advanced manufacturing systems. It is important that the Cobot-enabled nondestructive quality control is able to work collaboratively in a safe manner around a designated area of production lines, such as automated egg packaging stations. In a busy manufacturing environment, there can be no errors leading to production down.

01-Jan-2025 - 30-Jan-2028

Mehnen, Jorn (Principal Investigator) Yang, Erfu (Co-investigator) Buchanan, Sarah (Fellow)

Internal project with the catering department to develop the code and specify the right size of collaborative robot to work with a coffee machine.

01-Jan-2025 - 31-Jan-2025

Yang, Erfu (Principal Investigator)

The Bio-Inspired Robotics Design and Development (BioRobotics) is led by Queen's University Belfast in collaboration with University of Liverpool and Å·ÃÀ¸ßÇå to explore the fundamental science (low TRL:1-2) and to develop a standard framework that facilitate the transformation from biological mechanisms to robotics design and operation, especially forced on new sciences of robotics assembly, navigation in fluid environment, and multi-agent collaboration.

06-Jan-2024 - 14-Jan-2025

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

01-Jan-2024 - 31-Jan-2026

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

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