A Unified Framework for Human-Robot Knowledge Transfer.

Abstract

Robots capable of growing knowledge and learning new tasks is of demanding interest. We formalize knowledge transfer in human-robot interactions, and establish a testing framework for it. As a proof of concept, we implement a robot system that not only learns in real-time from human demonstrations, but also transfers this knowledge.