Engineering Magazine: Fall 2019

Page 10

RESEARCH | CARNEGIE MELLON COLLEGE OF ENGINEERING

Breakthrough in Mind-Controlled Robotic Arm

A team of researchers from Carnegie Mellon University, in

robotic limbs using their own “thoughts.” Such noninvasive

collaboration with the University of Minnesota, has made

BCI technology, if successful, would bring such much-

a breakthrough in the field of noninvasive robotic device

needed technology to numerous patients and even

control. Using a noninvasive brain-computer interface (BCI),

potentially to the general population.

researchers have developed the first-ever successful mind-

However, BCIs that use noninvasive external sensing,

controlled robotic arm exhibiting the ability to continuously

rather than brain implants, receive “dirtier” signals, leading

track and follow a computer cursor.

to lower resolution and less precise control. Thus, when

Being able to noninvasively control robotic devices using

using only the brain to control a robotic arm, a noninvasive

only thoughts will have broad applications, in particular

BCI doesn’t stand up to using implanted devices. Despite

benefiting the lives of paralyzed patients and those with

this, BCI researchers have forged ahead, their eye on the

movement disorders.

prize of a less- or non-invasive technology that could help

BCIs have been shown to achieve good performance for controlling robotic devices using only the signals sensed from

patients everywhere on a daily basis. Bin He, department head and professor of biomedical

brain implants. When robotic devices can be controlled with

engineering at Carnegie Mellon University, is achieving that

high precision, they can be used to complete a variety of daily

goal, one key discovery at a time.

tasks. Until now, however, BCIs successful in continuously

“There have been major advances in mind controlled

controlling robotic arms have used invasive brain implants.

robotic devices using brain implants. It’s excellent science,”

These implants require a substantial amount of medical

says He. “But noninvasive is the ultimate goal. Advances

and surgical expertise to correctly install and operate, not to

in neural decoding and the practical utility of noninvasive

mention cost and potential risks to subjects. As such, their use

robotic arm control will have major implications on the

has been limited to just a few clinical cases.

eventual development of noninvasive neurorobotics.”

A grand challenge in BCI research is to develop less

Using novel sensing and machine learning techniques,

invasive or even totally noninvasive technology that would

He and his lab have been able to access signals deep within

allow paralyzed patients to control their environment or

the brain, achieving a high resolution of control over a


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