Digital Representation of Skills for Human-Robot Interaction

The present paper deals with a system architecture and a digital format to support the acquisition, storage and transfer of human skills. Virtual Environments and Haptic interfaces will be addressed as target platforms for the capturing and rendering of skills. There are several methodologies for approaching definition and modelling of skills, and the present work will focus on a specific approach that merges evidences from human sciences with present approaches in intelligent robotics and machine learning. This work presents a supporting tool that enables researchers to model, analyse and control the skill transfer process. In addition this work will provide an overview of a skill transfer framework, and information related to the models of skill representation that are being employed.