Description

Service robots need to be able to adapt to user needs, and teaching the robot new tasks is usually done through close human-robot interaction. This project will explore two interaction modalities, namely user visual tracking and physical interaction. The goal is to develop a framework that will integrate these two modalities in order to successfully recognize user intentions. The developed algorithms will be tested in an assistive-dressing scenario, in which the robot will assist the user to put on a jacket or coat.

The work is under the scope of the following projects:

• I-DRESS: Assistive interactive robotic system for support in dressing (web)