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Research will generate a new approach to using brain signals to control intelligent robotic systems.
Brain-machine interfaces read signals directly from the brain to control external devices such as robotic limbs. While this technology has great potential to benefit people who are paralyzed, the interfaces often have poor performance because they use low-level signals to simultaneously control many aspects of the robotic limb's movements. New NSF-funded research will leverage expertise across diverse fields to generate significant improvements in brain-machine interface technology. Shown here is Erik Sorto using a brain-controlled robotic arm to take a drink.
Credit: Spencer Kellis and Christian Klaes
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