Quadriplegic Robert Chmielewski Brain-Controlled Arms
Robert “Buz” Chmielewski has been a quadriplegic with minimal movement and feeling in his hands and fingers due to an accident in his teen years, but starting a few months ago, he was able to manipulate two prosthetic arms with his brain. This was made possibly after surgeons implanted six electrode arrays into both sides of his brain, enabling him to simultaneously control two advanced prosthetic limbs through a brain-machine interface developed by Johns Hopkins Applied Physics Laboratory (APL). Read more for a video and additional information.



Researchers are currently devleoping a closed-loop system that merges artificial intelligence, robotics and a brain-machine interface. Now that you’ve seen Chmielewski feed himself dessert, the system that enabled him to control the movements necessary to cut food with a fork and knife and feed himself, could eventually help him walk again.

LEGO MINDSTORMS Robot Inventor Building Set 51515; STEM Model Robot Toy for Creative Kids with Remote Control Model Robots; Inspiring Code and Control Edutainment Fun, New 2020 (949 Pieces)
  • With LEGO MINDSTORMS Robot Inventor (51515), kids gain essential STEM skills as they build, code and play with remote-control model robots and intelligent creations that shoot missiles, play ball, drive around and more!
  • Kids build Charlie, Tricky, Blast, M.V.P. and Gelo, and take on activities and missions using the Scratch-based LEGO MINDSTORMS Robot Inventor App (visit LEGO.com/devicecheck for a list of compatible devices)
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  • Blast stands at over 14” (36cm) tall, while Gelo measures over 9” (24cm) long; The Powered Up components in this set are also compatible with the LEGO BOOST Creative Toolbox (17101), Droid Commander (75253) and others

Our ultimate goal is to make activities such as eating easy to accomplish, having the robot do one part of the work and leaving the user, in this case Buz, in charge of the details: which food to eat, where to cut, how big the cut piece should be. By combining brain-computer interface signals with robotics and artificial intelligence, we allow the human to focus on the parts of the task that matter most,” said David Handelman, an APL senior roboticist specializing in human-machine teaming.