Combining neuroscience and robotic research has gained impressive results in the rehabilitation of paraplegic patients. A research team led by Prof. Gordon Cheng from the Technical University of Munich (TUM) was able to show that exoskeleton training not only helped patients to walk, but also stimulated their healing process. With these findings in mind, Prof. Cheng wants to take the fusion of robotics and neuroscience to the next level.
Prof. Cheng, by training a
paraplegic patient with the exoskeleton within your sensational study under the
“Walk Again” project, you found that patients regained
a certain degree of control over the movement of their legs. Back then, this
came as a complete surprise to you… and it somehow still is. Even though we had
this breakthrough four years ago, this was only the beginning. To my regret,
none of these patients is walking around freely and unaided yet. We have only
touched the tip of the iceberg. To develop better medical devices, we need to
dig deeper in understanding how the brain works and how to translate this into
robotics.
In your paper published in Science
Robotics this month, you and your colleague Prof. Nicolelis, a
leading expert in neuroscience and in particular in the area of the
human-machine interface, argue that some key challenges in the fusion of
neuroscience and robotics need to be overcome in order to take the next steps.
One of them is to “close the loop between the brain and the machine” – what do
you mean by that?
The idea behind this is that
the coupling between the brain and the machine should work in a way where the
brain thinks of the machine as an extension of the body. Let’s take driving as
an example. While driving a car, you don’t think about your moves, do you? But
we still don’t know how this really works. My theory is that the brain somehow
adapts to the car as if it is a part of the body. With this general idea in
mind, it would be great to have an exoskeleton that would be embraced by the
brain in the same way.
How
could this be achieved in practice?
The exoskeleton that we were
using for our research so far is actually just a big chunk of metal and thus
rather cumbersome for the wearer. I want to develop a “soft” exoskeleton –
something that you can just wear like a piece of clothing that can both sense
the user’s movement intentions and provide instantaneous feedback. Integrating
this with recent advances in brain-machine interfaces that allow real-time
measurement of brain responses enables the seamless adaptation of such
exoskeletons to the needs of individual users.
Given the recent
technological advances and better understanding of how to decode the user’s
momentary brain activity, the time is ripe for their integration into more
human-centered or, better “brain-centered” solutions.
What
other pieces are still missing? You talked about providing a “more realistic
functional model” for both disciplines.
We have to facilitate the
transfer through new developments, for example robots that are closer to human
behavior and the construction of the human body and thus lower the threshold
for the use of robots in neuroscience. This is why we need more realistic
functional models, which means that robots should be able to mimic human
characteristics. Let’s take the example of a humanoid robot actuated with
artificial muscles.
This natural construction
mimicking muscles instead of the traditional motorized actuation would provide
neuroscientists with a more realistic model for their studies. We think of this
as a win-win situation to facilitate better cooperation between neuroscience
and robotics in the future.
You are not alone in the
mission of overcoming these challenges. In your Elite Graduate Program in
Neuroengineering, the first and only one of its kind in Germany combining
experimental and theoretical neuroscience with in-depth training in
engineering, you are bringing together the best students in the field.
As described above, combining
the two disciplines of robotics and neuroscience is a tough exercise, and
therefore one of the main reasons why I created this master’s program in
Munich. To me, it is important to teach the students to think more broadly and
across disciplines, to find previously unimagined solutions. This is why
lecturers from various fields, for example hospitals or the sports department,
are teaching our students. We need to create a new community and a new culture
in the field of engineering. From my standpoint, education is the key factor.
Source: https://www.tum.de/nc/en/about-tum/news/press-releases/details/36357-1/
Journal article: https://robotics.sciencemag.org/content/5/49/eabd1911
Source: The
Machine as Extension of the Body – Scents of Science (myfusimotors.com)
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