Daniel Gordon

Research project title: 
Design, Control & Evaluation of Wearable Robots
Principal goal for project: 
Use optimisation-based techniques to improve the control and design of assistive robots. Implement a framework for the quantitative evaluation of such devices using musculoskeletal models to simulate the dynamic interaction between robot and user.
Research project: 

Henderson, G., Gordon, D. and Vijayakumar, S., 2017, December. Identifying invariant gait metrics for exoskeleton assistance. In Robotics and Biomimetics (ROBIO), 2017 IEEE International Conference on (pp. 520-526). IEEE.

Gordon, DFN, Henderson, G and Vijayakumar, S, 2018. Effectively quantifying the performance of lower-limb exoskeletons over a range of walking conditions. Frontiers in Robotics and AI, 5, p.61.

Gordon, D. F. N., Matsubara, T., Noda, T., Morimoto, J., and Vijayakumar, S., 2018. Bayesian Optimisation of Exoskeleton Design Parameters. In Biomedical Robotics (BIOROB), 2018 IEEE International Conference on. IEEE.

About me: 

I am a final year PhD student in the Centre for Doctoral Training in Robotics and Autonomous Systems run jointly by the University of Edinburgh and Heriot-Watt University. My home institution is the University of Edinburgh. I am working on human-exoskeleton systems under the supervision of Prof Sethu Vijayakumar.  

I hold an MMath in Mathematics from the University of St Andrews and an MScRes in Robotics and Autonomous Systems from the first year of the CDT programme.   


Student type: 
Current student