Daniel Layeghi

Research project title: 
Model learning for control of dynamic robots
Research project: 

This project explores adaptive and statistical methods for learning parametric and/or non-parametric models of dynamical systems. These models will be used for the optimisation, prediction and control of dynamic robot behaviour with a high degree of uncertainty, for example manipulating objects with unknown dynamics or friction, legged locomotion in uncertain terrains with unknown dynamics, friction, etc. 


Student type: 
Current student