Editorial: Advances in the Integration of Brain-Machine Interfaces and Robotic Devices

Luca Tonin, Emanuele Menegatti, Damien Coyle

Research output: Contribution to journalEditorialpeer-review

1 Citation (Scopus)
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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.
Original languageEnglish
Article number653615
Pages (from-to)1-2
Number of pages3
JournalFrontiers in Robotics and AI
Publication statusPublished (in print/issue) - 10 Mar 2021


  • Brain-machine interface
  • robotics
  • shared-control
  • human-robot interaction
  • assistive devices


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