Recently there has been a growing interest in designing human-in-the-loop applicationsbased on shared approachesthat fuse the user’s commands with the perception of the context. In this scenario, we focus on user-supervised telepresence robots, designed to improvethe quality of life of peoplesuffering from severe physical disabilities or elderlywho cannot move anymore.In this regard, we introduce brain-machine interfaces that enable usersto 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 methodologiestoaugment the human-robot interaction and to facilitate the research and the development of these technologies.

Shared approaches to mentally drive telepresence robots

Gloria Beraldo
;
Luca Tonin;Emanuele Menegatti
2021

Abstract

Recently there has been a growing interest in designing human-in-the-loop applicationsbased on shared approachesthat fuse the user’s commands with the perception of the context. In this scenario, we focus on user-supervised telepresence robots, designed to improvethe quality of life of peoplesuffering from severe physical disabilities or elderlywho cannot move anymore.In this regard, we introduce brain-machine interfaces that enable usersto 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 methodologiestoaugment the human-robot interaction and to facilitate the research and the development of these technologies.
2021
Conference Proceedings - 7th Italian Workshop on Artificial Intelligence and Robotics (AIRO 2020)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3359960
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