Abstract
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.
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.
| Original language | English |
|---|---|
| Article number | 653615 |
| Pages (from-to) | 1-2 |
| Number of pages | 3 |
| Journal | Frontiers in Robotics and AI |
| Volume | 8 |
| DOIs | |
| Publication status | Published (in print/issue) - 10 Mar 2021 |
Keywords
- Brain-machine interface
- robotics
- shared-control
- human-robot interaction
- assistive devices
