Task-space imitation learning using probabilistic models

The goal of developing algorithms for programming robots by demonstration is to create an easy
way of programming robots such that it can be accomplished by anyone. When a demonstrator
teaches a task to a robot, he/she shows some ways of fulfilling the task, but not all the possibilities.
The robot must then be able to reproduce the task even when unexpected perturbations occur.


  1. Mühlig et al.