Brain-Computer Interface (BCI) technology allows to use brain signals as an alternative channel to control external devices. In this work, we introduce an Hybrid Brain-Robot Interface to mentally drive mobile robots. The proposed system sets the direction of motion of the robot by combining two brain stimulation paradigms: motor imagery and visual event related potentials. The first enables the user to send turn-left or turn-right commands to the robot by a certain rotation angle, while the second enables the user to easily select high level goals for the robot in the environment. At the end, the system is integrated with a shared- autonomy approach in order to improve the interaction between the user and the intelligent robot, achieving a reliable and robust navigation.

Hybrid Brain-Robot Interface for telepresence

Gloria Beraldo
;
Stefano Tortora;Emanuele Menegatti
2019

Abstract

Brain-Computer Interface (BCI) technology allows to use brain signals as an alternative channel to control external devices. In this work, we introduce an Hybrid Brain-Robot Interface to mentally drive mobile robots. The proposed system sets the direction of motion of the robot by combining two brain stimulation paradigms: motor imagery and visual event related potentials. The first enables the user to send turn-left or turn-right commands to the robot by a certain rotation angle, while the second enables the user to easily select high level goals for the robot in the environment. At the end, the system is integrated with a shared- autonomy approach in order to improve the interaction between the user and the intelligent robot, achieving a reliable and robust navigation.
Proceedings of The 6th Italian Workshop on Artificial Intelligence and Robotics 2019 (AIRO@ AI* IA. 2019)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3335628
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