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.
