  Assistive and Wearable Robotics have the potential to support humans with
different types of motor impairments to become independent and fulfil their
activities of daily living successfully. The success of these robot systems,
however, relies on the ability to meaningfully decode human action intentions
and carry them out appropriately. Neural interfaces have been explored for use
in such system with several successes, however, they tend to be invasive and
require training periods in the order of months. We present a robotic system
for human augmentation, capable of actuating the user's arm and fingers for
them, effectively restoring the capability of reaching, grasping and
manipulating objects; controlled solely through the user's eye movements. We
combine wearable eye tracking, the visual context of the environment and the
structural grammar of human actions to create a cognitive-level assistive
robotic setup that enables the users in fulfilling activities of daily living,
while conserving interpretability, and the agency of the user. The interface is
worn, calibrated and ready to use within 5 minutes. Users learn to control and
make successful use of the system with an additional 5 minutes of interaction.
The system is tested with 5 healthy participants, showing an average success
rate of $96.6\%$ on first attempt across 6 tasks.
