Brain-Computer Interfaces are promising technologies that can improve Human-Robot Interaction, especially for disabled and impaired individuals. Noninvasive BCI’s, which are very desirable from a medical and therapeutic perspective, are only able to deliver noisy, low-bandwidth signals, making their use in complex tasks difficult. To this end, we present a shared control online grasp planning framework using an advanced EEG-based interface.
These results are encouraging, and demonstrate that a relatively fast and effective pipeline based off of only EEG data is workable. The experiment revealed some issues, specifically in terms of how images are generated when representing abstract concepts.
For more information about BCI/EEG press
here.
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