Robot Learning. Robot learning resembles the way humans and animals adopt to movement strategies, in contrast to classical robotics where movement control is based on accurate modeling of the robot and its environment. We investigate approaches where movement strategies are learned from human examples. The learning problem is set up as a highdimensional regression problem  ( project details ). 

Matlab Toolbox for Kernel Methods: The Spider. We are designing and developing a matlab toolbox for kernel methods. The goals of this project are: to build a general purpose kernel methods library including different induction principles such as (but not limited to) online/batch learning, active learning, etc., and to build a platform with different datasets and a code repository where researchers could exchange results and reproduce experiments.The spider is intended to be a complete object orientated environment for machine learning in Matlab. ( project details )