Shared approaches to mentally drive telepresence robots

Recently there has been a growing interest in designing human-in-the-loop applications based on shared approaches that fuse the user’s commands with the perception of the context. In this scenario, we focus on user-supervised telepresence robots, designed to improve the quality of life of people suffering from severe physical disabilities or elderly who cannot move anymore. In this regard, we introduce brain-machine interfaces that enable users to directly control the robot through their brain activity. Since the nature of this interface, characterized by low bit rate and noise, herein, we present different methodologies to augment the human-robot interaction and to facilitate the research and the development of these technologies