Semi-Autonomous Continuous Robotic Arm Control Using an Augmented Reality Brain-Computer Interface
Kirill Kokorin,
Syeda R Zehra,
Jing Mu
et al.
Abstract:Noninvasive augmented-reality (AR) brain-computer interfaces (BCIs) that
use steady-state visually evoked potentials (SSVEPs) typically adopt a
fully autonomous goal-selection framework to control a robot, where
automation is used to compensate for the low information transfer rate
of the BCI. This scheme improves task performance but users may prefer
direct control (DC) of robot motion. To provide users with a balance of
autonomous assistance and manual control, we developed a shared control
(SC) system for c… Show more
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