Daniel Gordon

Research project title: 
Evaluation, control and design of assistive robotic devices
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.

[Accepted and presented; awaiting publication in conference proceedings]
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 third 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 modelling 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