Human teachers demonstrate a search task to a robot in a “Programming by Demonstration” framework.
A matlab (E)xponential-PCA package for non-linear dimensionality reduction.
A C++ software package which allows to simulate and control the KUKA LWR robot.
A machine learning toolbox containing a collection of methods (classification, regression, projection, reinforcement learning)
A Bayesian filter tailored for negative information
A set of regression methods written in C++ with a Python interface.
A Point Mass Filter (PMF) is Bayesian state space estimator written in C++ and Matlab.
A POMDP policy is learned from demonstrations and improved in a Reinforcement learning framework.
An autonomous 6 wheel drive rover.
A tacticle classifier for the Syntouch artificial finger sensor.