TY - JOUR
T1 - Editorial: Advances in the Integration of Brain-Machine Interfaces and Robotic Devices
AU - Tonin, Luca
AU - Menegatti, Emanuele
AU - Coyle, Damien
PY - 2021/3/10
Y1 - 2021/3/10
N2 - Recent advances in noninvasive Brain-Machine Interfaces (BMIs) have demonstrated the potential impact of directly interfacing the brain with machines. The ultimate translational goal of BMI systems is to enable people suffering from severe motor disabilities to control a new generation of neuroprostheses and, thus, (re)gain their own independence.Many studies have already demonstrated the feasibility of the BMI technology with different kinds of assistive devices, designed to restore communication (e.g., virtual keyboard) or to enable the control of robotic applications (e.g., wheelchairs, telepresence robots, robotic arms, and drones). However, despite great progress, the integration of the BMI and robotics is still in its infancy and translational impact is low.
AB - Recent advances in noninvasive Brain-Machine Interfaces (BMIs) have demonstrated the potential impact of directly interfacing the brain with machines. The ultimate translational goal of BMI systems is to enable people suffering from severe motor disabilities to control a new generation of neuroprostheses and, thus, (re)gain their own independence.Many studies have already demonstrated the feasibility of the BMI technology with different kinds of assistive devices, designed to restore communication (e.g., virtual keyboard) or to enable the control of robotic applications (e.g., wheelchairs, telepresence robots, robotic arms, and drones). However, despite great progress, the integration of the BMI and robotics is still in its infancy and translational impact is low.
KW - Brain-machine interface
KW - robotics
KW - shared-control
KW - human-robot interaction
KW - assistive devices
U2 - 10.3389/frobt.2021.653615
DO - 10.3389/frobt.2021.653615
M3 - Editorial
SN - 2296-9144
VL - 8
JO - Frontiers in Robotics and AI
JF - Frontiers in Robotics and AI
ER -