Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
Imperial College London : A - Electrical and Electronic engineering
A Quantum-Statistical Approach Toward Robot Learning by Demonstration
This paper describes the first application of quantum statistics in robotics, with the developed work outperforming state of the art machine learning algorithms in robot learning by demonstration tasks. The research was performed as part of a large scale EU FP7 integrated project (ALIZ-E, www.aliz-e.org) with the aim of allowing non-technical hospital personnel to program robots without prior training, by demonstrating the required tasks. The algorithms are in use by our ALIZ-E partners (e.g. VUB, Belgium, Professor Hichem Sahli, hsahli@etro.vub.ac.be) for action classification and learning tasks. Presented at keynote lecture at EUCogIII Conference (10-11 April 2013, Palma, Spain).
