Robotic Exoskeletons Controlled by Brain-Computer Interfaces
University of Bath
About the Project
Brain-computer interfaces (BCIs) can establish the direct pathway between human brain and external devices. BCIs can be used for motor rehabilitation for stroke patients, which may enable the patients perform independent training and therapy actives in combination with exoskeletons. The PhD project is about BCI-controlled exoskeleton towards stroke rehabilitation, and the focus is non-invasive BCIs based on electroencephalography (EEG). The main problems regarding EEG-based BCIs that need to be solved include low decoding accuracy, long decoding time and limited control modes. This research aims to solve the problems mentioned above using cutting-edge methods in AI technologies. For example, we will explore some advanced machine learning and deep learning algorithms to improve the performance of BCIs. Besides, we will develop shared control strategy to combine BCI with autonomous robotic control in order to accomplish complex rehabilitation tasks. The ultimate goal of this research is to design a practical BCI control system that can be used for upper limb exoskeleton towards rehabilitation for stroke patients. The PhD project is planned to be completed in 3-4 years.
This research project will be carried out as part of an interdisciplinary integrated PhD in the Centre for Bioengineering & Biomedical Technologies (CBio) and Bath Institute for the Augmented Human, University of Bath.
Candidates are expected to have Bachelor’s degree in good universities, or near complete an MSc or MEng in Computer Science, Control Engineering, Robotics, Mechatronics, Electrical Engineering, Biomedical Engineering, or related areas.
How to apply
Informal enquiries about the project should be directed to Dr Dingguo Zhang. Email: [email protected]
Formal applications should be made via the Department of Electronic and Electrical Engineering at University of Bath’s online application form and should include a research proposal. The application process is available here:
https://www.bath.ac.uk/campaigns/doctoral-sanctuary-studentship-in-engineering-and-design/
Start date: 1 September 2024 or 1 January 2025.
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