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This is the Convergent Science Network podcast. Leading researchers in the domain

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of neuroscience, brain theory and technology are interviewed by Paul Verscher and Tony Prescott.

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This is Tony Prescott for the Convergent Science Network podcast from the Barcelona

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Summer School on Cognition, Brain and Technology 2011.

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I'm here with Maria Chiara Carroza from PISA, who's the director of the Scuola

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Superiore Santana and the leader of the Neuro-Robotics Research Group.

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So, Chiara, in your talk today, you used the phrase human-robot symbiosis.

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Can you explain what you mean by that?

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Symbiosis for us, we are developing robots

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and means that the robot and the

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user of the robot should share the same objectives and are interdependent in

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going to task and in making actions and in doing some activities of daily living.

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So the robot and the human being are in contact and share the same goals.

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Okay, so how is it that the robot can understand the goals of a person?

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So this is the crucial problem to be solved,

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how to exchange information between the robot and human subject and in order

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to have the subject being in control of the robot with what we call natural control.

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And the title of your group is the Neuro-Robotics Research Group.

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So that implies that you're in some way trying to read the neural activity of

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the person. Is that right?

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The neuro-robotics means that we would like to join the knowledge in the field

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of robotics and in the field of neuroscience in order to develop better robots

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robot able to read the activity of the brain.

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It's not important to read the activity of neurons, but of the brain.

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So we would like to exploit the signals that are available in order to understand

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what the subject really wants to do and try to send this command to the robot

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in order to have the robot execute the action that the human being wants to perform.

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So for the robot to To understand the human, there are various signal channels that you could access.

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And so which are the ones that you think are the most promising?

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It's very difficult to... We are still investigating, so it's difficult to say

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which are more promising.

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We are for the moment using non-invasive signals, which means that we are not

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implanting interfaces in the brain and in the cortical areas of the brain.

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We are trying to exploit the signals that are available without providing a

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surgical implant to the subject.

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That means that we are using electromyographic signals from the surface electrodes on the skin.

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We are also using the movements of the limbs in order to detect the intention.

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We are using the movement of the eyes and all physiological signals that are

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available in order to understand what the subject wants to do,

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and also the conditions of the subject, which are important to provide a good

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interaction between the robot and the subject.

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So it sounds like this is some kind of wearable technology that people would have. Yes, yes.

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We are investigating wearable robots and in particular we are investigating wearable interfaces.

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So interfaces that are in contact with the human skin and the human body,

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able to detect the movements and also able to stimulate the human skin in order

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to provide some sensory feedback to the user.

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Because percepting the environment is important for the user.

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And so we have to provide some sensory feedback in order to achieve,

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to reach the perception in the human brain, which is a mix of sensory feedback,

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experience and knowledge and motivation.

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So we need several agents in order to provide perception.

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And perception is fundamental in order to provide natural control.

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So the types of robots that you're mainly interested in are ones that are interacting

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very closely with people.

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And one type of robot, I guess, would actually be a prosthesis,

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something like a replacement limb, which would be attached to a person and read

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these kinds of signals from their skin, for instance.

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Yes, we are investigating prosthetic hands and in particular how to control

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the hand with the brain, which means to achieve this body ownership with an artificial hand.

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That means that the artificial hand is in contact with the human skin because

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it's implanted on the stump of the subject, and we want to develop.

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A bridge between the hand and the brain in order to provide this exchange of

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signals between the hand and the brain. So this is the main point.

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So a lot of people are building robot hands, but what is special or different

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about a robot hand that could be worn by a person as a prosthesis?

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First of all, you have to develop a hand which is cosmetic, which means that

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the external appearance must be good.

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You cannot think that the user were sort of non-static hand with iron or similar,

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reminding us to Terminator or to fiction robots.

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So the user wants a hand which is similar to the natural hands and wants to

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have social interaction and satisfaction in contacting people and in being in the external world.

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So first of all, the hand should be with a cosmetic glove, then must be lightweight

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because it is implanted on the stump, so the mechanical interaction between

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the hand and the stump must be good.

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And also there is the problem of power consumption. If the hand is active,

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the power internal to the hand is coming from the battery, and And in order

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to provide eight hours or eight operating hours,

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the motors and the activities of the hand must be provided by a single battery.

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So you cannot think to plug the hand during normal activities.

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For example, during working activities or entertainment activities or similar,

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you must provide eight hours or normal operation.

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That means that the system must monitor the energy consumption and try to distribute

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the energy in an appropriate way without losing energy.

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And also that there is another problem.

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It's related to sensory feedback.

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So the hand is in contact with the environment.

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So you should provide the sensors for monitoring the interaction between the

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hand and the environment and

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also sensors for providing proprioception and body ownership to the user.

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So you mentioned body ownership and you described a really interesting experiment

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in your talk where people, subjects in the experiment somehow get a sense of

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body ownership for a hand that's made out of rubber.

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Now, how can that come about?

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Yes, this is an interesting example, well known in neurophysiology,

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and we are trying to export this typical experiment of neurophysiology into robotics.

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That is an experiment where a subject is watching a cosmetic hand,

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a rubber hand, which is close to the natural hand.

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And the subject, by doing some interaction, by brushing on the hand,

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on the rubber hand, on the natural hand, the subject is looking only at the artificial hand.

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If the hand is really similar to the natural hand, the subject starts to develop

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a sort of body ownership for the rubber hand, which starts to belong to the subject.

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So when you stab Stab the rubber hand the subject feels that you are stabbing the real hand.

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So it's something about the correlation of the sensory signals that I get from

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touch on my real hand and seeing somebody stroking the rubber hand that gives

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me this illusion that the rubber hand is part of my body.

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Yes. And so it's a mixture of the visual signal and the tactile signal.

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Okay, the task for neurophysiologists, neuroscientists is to understand if it

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is only related to vision and involving only the areas that are related to vision in the brain.

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And there are some papers demonstrating that also the sensory motor areas of

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the brain are involved in the task.

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That means that there is this involvement of perception for us.

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We are roboticists, we are much more interested in the implications for that.

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That means that we are in principle able to provide a sort of rubber hand, which really.

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Can be introduced in the loop with the brain and also the sensory motor areas

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of the brain can be involved in perceiving the hand as a natural hand.

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So, what we would like to develop is a sort of cosmetic active hand,

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which is replacing the hand which is missing.

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So it's a step forward because in that case the subject is without hand and

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must own the new hand, which is artificial.

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So, existing prostheses are presumably made out of plastic or wood or whatever.

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But if I was wearing such a hand, presumably I still have some feel of ownership

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over the hand because when I touch something with a prosthesis,

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I would still get feedback through my arm from that contact,

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even though it's mediated by a large piece of plastic.

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But you plan to go beyond that and give some direct feedback using sensors on the hand? Yes, yes.

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The stamp is providing some direct feedback about the force and the movement

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of the hand because the proprioception on the stump of the subject is still there.

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And so the subject can feel something in the stump.

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But we would like to do more because what we would like to do is that in the

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socket, which is the interface between the hand and the stump, The socket is the place,

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the mechanical interface between the subject body and the hand.

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In the socket we would like to put some new motors and these motors are intended

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to provide some stimulation on the skin.

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So we made a lot of experiments in understanding how far we can go in delivering

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different stimuli by varying the frequency and also the amplitude of the stimuli.

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And in order to assess the discriminational ability of the subject,

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what we would like to do is to make a sort of mapping between the activity of

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the hand and the stimuli that we provide internal to the socket, to the skin.

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So the subject can learn about and can learn to recognize the activity of the

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hand thanks to this mapping.

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For example, we touch the finger and we provide some stimuli and the subject

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feels on the stamp a stimuli according to the intensity of the contact force or similar.

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Or the force, the intensity of the force can be modulated by providing some

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frequency signals to the stamp of the subject.

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So this activity is in fundamental in order to provide this sensory feedback

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and to develop this body ownership for the subject.

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So you say that they feel this on the skin of the arm, but the sense is on the

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tip of the robot finger. Now, is it possible?

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That, after wearing this device for some time, even though the stimulus is on

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the arm, the stimulus is actually coming from the finger.

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So is it possible that the experience of the subject migrates so that they,

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like in the rubber hand illusion, they have the experience that the stimulus

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is on the tip of the finger?

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Yes, this is exactly the kind of experiment that we are doing now.

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We did some experiments with the subject with

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an implanted interface in the

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peripheral nervous system by stimulating the fibers of the nervous system and

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providing a sort of stimulation we can elicit some sense of the fingers that

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the subject had before having the amputation.

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So in principle, we think that it's possible to provide this kind of mapping

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and try to investigate on the reaction of the subject.

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But in order to do that, we must provide a sort of flexible interface with different

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vibrators and stimulators internal to the socket.

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And we would like to make experiments with amputees

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in order to understand how far we can go

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because in principle we have some models from neurophysiology

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we know from different experiments but

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the data with human beings are very few and

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thanks to the experiment which is not non-invasive it's not requiring surgical

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intervention we think that we would find some amputees, volunteers.

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In order to make experiments on that.

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And one of the things that we're taking advantage of here is that the brain

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maps for the body are very adaptive.

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And I guess they can change and learn to incorporate something which is actually

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an artificial limb as a replacement for a real limb.

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Yes, we rely on that. Neuroscientists are telling us that the ability of the

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brain to adapt is enormous.

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We know that the motivation for the amputee, for the subject to be in the loop

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and to achieve this kind of body ownership is strong.

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We know that subjects using prosthetic hands are waiting for a new development,

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and feeling the external environment is one of the major points when they raise

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issues about future development of the hands.

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They want to feel the external environment. environment so

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we think that because we know that

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the motivation from from the subject is fundamental in

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this kind of research so we we know

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that we can we can do something for them

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but we need some experiments so sometimes

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people that have lost a limb report a

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phantom limb experience where they feel they still

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have the limb and that it's twisted or in some painful position

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so is it possible that a prosthetic would

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be able to help them get over that phantom limb experience

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yes we know that we already developed a

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sort of virtual reality system based on our hand in order to investigate on

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people suffering from phantom limb pain and we hopefully we will be able When

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we will know more about this artificial body ownership.

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We will be able also to face this challenge, which is still a challenge for some individuals.

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They are suffering this kind of pain, which cannot be treated with normal therapy.

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So we know that this can be also a side effect, a positive side effect of our research.

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So another kind of robot technology that you're developing is not so much a

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prosthesis, but an add-on to the body that you call an exoskeleton.

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Could you tell me what that is? The exoskeleton is a sort of external structure

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which is coupled to the joint.

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So in the case of upper limb is a sort of external suit with articulated system

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which is providing assistance to the limb.

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So it's providing, for example, additional torque in order to accomplish some task in the upper limb.

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For example, in reaching an object, when the subject is weak after suffering

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a stroke or similar pathology and has the limb which is weak,

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this kind of external structure is able to provide some force to perform the task.

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So that can be done for assistance, which means a sort of tool to provide some

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additional force for the subject, or can be seen as a therapy.

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What is called the neurorehabilitation therapy, which means that this,

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by doing some exercises in combination with the exoskeleton.

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Like exercise in reaching an object in the space, so flexo-extension of the elbow or the wrist,

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the subject is recovering the synergies and recovering the ability to move again the limb.

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And these are additional to the normal, ordinary physical therapy and must be

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delivered by a therapist in combination with normal therapy.

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And we know that there are some data on behavioral experiments and also clinical

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data telling us that this kind of exercise size in combination with a robot

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are good for restoring movements.

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So I'm imagining some device that's strapped to my forearm, and then there's

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a hinge at the elbow, and then there's a piece on the upper arm as well.

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Yes. And what kind of patients would benefit from using this?

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This kind of therapy in general is aimed at restoring motion in subjects with post-stroke.

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Stroke so with weak limb after stroke and they in general they have problems in moving again their.

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Limb and they are doing some therapy for learning again to control the movement

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for the first step is for for reaching an object in the space so the first step

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is to reach the object the second is to open the hand and use the hand.

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So these kind of exercises are repetitive, which means that they have to do

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the exercise several times, and it's an exercise following a trajectory.

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For example, by holding a sort of handle in the space,

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they have to hold the handle of the joystick and move the joystick in the space

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according to a trajectory by following a prescribed trajectory,

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trajectory and doing this kind of reaching and moving in the space several times

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is useful in order to obtain motor recovery.

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So doing that with a therapist is useful but doing that with a robot assisting

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the subject which is able to provide the same force, the same pattern and in a very.

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Control the environment can provide

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a better recovery so these are people

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that have got completely normal limb function and

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the problem that they have is in the brain yeah where the stroke has damaged

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the part of the brain which would normally control the arm yes so we're counting

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on brain plasticity to find another way of controlling the arm so if we can

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in a repeatable way, move the arm using the robot,

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eventually the brain will take over. Is that how it works?

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Yes, it's like that. It's more complex because also the arm is weak because it's not used anymore.

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And the final objective is to recover also the correct synergies in the muscular

00:22:41.043 --> 00:22:43.343
structure of the subject.

00:22:43.423 --> 00:22:47.663
So it's not only a problem of brain, but it's also a problem of muscles and

00:22:47.663 --> 00:22:55.323
structures and to the correct movements in the space by moving the muscles, but it is exactly that.

00:22:55.583 --> 00:23:02.183
And from our point of view, in robotics, we have to develop such kind of systems

00:23:02.183 --> 00:23:06.203
which are acting in parallel to the natural limb.

00:23:06.323 --> 00:23:13.643
So it's completely different from prosthetics, where you replace a limb which

00:23:13.643 --> 00:23:16.003
is missing, so it's not a parallel.

00:23:16.203 --> 00:23:20.403
A system is substituting the hand.

00:23:20.643 --> 00:23:27.203
In that case of exoskeleton, it's much more complicated because you are introducing

00:23:27.203 --> 00:23:29.783
a system which is acting in parallel.

00:23:30.163 --> 00:23:35.303
So you have two manipulators in parallel. One is the natural limb and one is

00:23:35.303 --> 00:23:42.843
the artificial limb and they are moving together and this is the real symbiosis, which means that the.

00:23:43.729 --> 00:23:49.829
Natural and the artificial manipulators must share the same goal and do the same actions.

00:23:49.949 --> 00:23:54.909
If this symbiosis is not working, the system is failing.

00:23:55.329 --> 00:24:00.449
So this is a really big research problem, that if I have an artificial hand

00:24:00.449 --> 00:24:05.509
and I'm trying to control it using my brain and the hand isn't understanding

00:24:05.509 --> 00:24:09.469
my intentions, it could do all sorts of things that maybe I don't want it to do.

00:24:09.609 --> 00:24:13.309
So how are we going to avoid that? It's very difficult.

00:24:13.949 --> 00:24:20.249
This is our problem in developing shared control, which means that you have

00:24:20.249 --> 00:24:26.269
the subject, which is who is supervising the hand, and then there is an autonomous

00:24:26.269 --> 00:24:28.529
control system internal to the hand.

00:24:28.529 --> 00:24:34.869
And so for robotics, the most important thing is to have the system working

00:24:34.869 --> 00:24:36.869
together with appropriate harmony.

00:24:37.289 --> 00:24:41.249
And so when the system for us is failing,

00:24:41.369 --> 00:24:47.349
when it is not executing exactly what the subject is willing to do,

00:24:47.429 --> 00:24:54.009
and in that case, the subject wants to open the hand and the hand is not opening.

00:24:54.009 --> 00:24:57.089
And that is frustrating for the subject and

00:24:57.089 --> 00:25:00.729
in that case the subject refuses to

00:25:00.729 --> 00:25:04.829
use the hand because the hand is not good

00:25:04.829 --> 00:25:11.569
in performing the task and also for social interaction for the subject is not

00:25:11.569 --> 00:25:17.409
good if the sub if the hand is opening or closing or doing things when the the

00:25:17.409 --> 00:25:21.789
subject doesn't want in causing some embarrassing.

00:25:22.889 --> 00:25:24.889
Situation for the subject.

00:25:25.169 --> 00:25:31.049
So we know and we in our experiments we measure the,

00:25:31.801 --> 00:25:37.381
success percentage of tasks. So which means that if the system is good,

00:25:37.501 --> 00:25:41.801
you can go to 90% of success rate.

00:25:42.101 --> 00:25:48.221
If you go to 60%, the system is not good because that means that you have 40%

00:25:48.221 --> 00:25:55.901
of cases when the hand is not executing the intended task and the system is not good.

00:25:59.881 --> 00:26:06.201
And Because one of the goal is that they use the burden for the user to learn

00:26:06.201 --> 00:26:09.801
and then to use the system must be low.

00:26:10.441 --> 00:26:16.841
So in one of the Star Wars films, I'm sure you know, Luke Skywalker loses a

00:26:16.841 --> 00:26:19.001
hand in a fight with Darth Vader.

00:26:19.121 --> 00:26:23.841
And he goes on a hospital ship and they replace it with an artificial hand.

00:26:24.001 --> 00:26:29.001
Is that science fiction or is it something that we might achieve one day?

00:26:29.001 --> 00:26:30.921
I think we will achieve that.

00:26:31.181 --> 00:26:34.381
I'm sure. I'm pretty sure we will achieve. I don't know when.

00:26:35.301 --> 00:26:40.821
I don't know if I will be alive, but I think we will achieve that.

00:26:40.941 --> 00:26:42.881
And this is exactly our objective.

00:26:43.501 --> 00:26:47.681
So you have a wider approach.

00:26:47.881 --> 00:26:52.141
So you described the exoskeleton as a way of doing some kind of therapy,

00:26:52.281 --> 00:26:56.781
but you're interested more generally in how we could use robots in therapy.

00:26:57.041 --> 00:27:01.341
Are there some other ideas related to that that you're developing?

00:27:02.341 --> 00:27:07.141
We are also developing artificial skin and we are interested in developing the

00:27:07.141 --> 00:27:11.541
skin because the skin is fundamental in order to provide a safe interaction.

00:27:11.541 --> 00:27:18.141
It is not the skin of the robot, it is also the skin between the robot and the subject,

00:27:18.281 --> 00:27:24.601
which is much more important, because the interface between the robot and the

00:27:24.601 --> 00:27:33.541
human body must be monitored in order to avoid situations where you can provide

00:27:33.541 --> 00:27:38.001
too much force or too much stress to the skin of the subject.

00:27:38.001 --> 00:27:43.821
So we are interested in developing the skin of the robot for what concerns the

00:27:43.821 --> 00:27:49.801
interaction with the environment, which means the properties of the object that

00:27:49.801 --> 00:27:51.421
is manipulated or similar.

00:27:51.641 --> 00:27:57.761
And also we are interested in developing the skin between the robot and the human body.

00:27:57.961 --> 00:28:04.041
And in this kind of skin, we are also including the stimulation system that

00:28:04.041 --> 00:28:05.701
we were illustrating before.

00:28:06.461 --> 00:28:10.221
The skin between the robot and the human body, so this is something that goes

00:28:10.221 --> 00:28:12.941
inside the sleeve that fits over the arm?

00:28:13.081 --> 00:28:15.781
Yes, inside the sleeve, yes. Right, okay.

00:28:16.081 --> 00:28:21.841
And that will be sort of a tight fit but not invasive? Tight fit but not invasive. Yeah.

00:28:22.520 --> 00:28:31.880
And this fit is providing you the distribution of forces and stress on the human skin.

00:28:32.080 --> 00:28:38.340
So it's fundamental because one of the reasons why the subjects are refusing

00:28:38.340 --> 00:28:46.080
system is that they are providing arm to the skin and pain and even too much

00:28:46.080 --> 00:28:50.360
force in some particular positions.

00:28:50.360 --> 00:28:57.480
And this kind of force is dangerous to provide pain for the subject.

00:28:57.760 --> 00:29:07.720
So we know that the good fitting is fundamental for wearing the prosthesis and also the exoskeleton.

00:29:08.020 --> 00:29:12.660
So the big research challenge is right now, because it's still in the laboratory,

00:29:12.900 --> 00:29:14.000
this technology, isn't it?

00:29:14.120 --> 00:29:18.360
You're not yet at the stage of being able to... We are developing experiments

00:29:18.360 --> 00:29:24.220
in the laboratory and also we are doing experiments in clinical facilities with

00:29:24.220 --> 00:29:29.320
amputees in order to make trials for our interfaces.

00:29:29.480 --> 00:29:31.400
So it's not commercial at all.

00:29:31.680 --> 00:29:33.740
What do the amputees report about?

00:29:34.220 --> 00:29:40.420
It depends on the experiments. So their reports is useful because it's a feedback for our design.

00:29:40.420 --> 00:29:45.740
So our design is cyclic, which means that we make the prototype,

00:29:46.040 --> 00:29:49.320
we make the experiments, and then we have the feedback on the design,

00:29:49.540 --> 00:29:50.440
and that is fundamental.

00:29:50.440 --> 00:29:59.180
Some ideas are already transferred to the commercial areas, but it's not directly

00:29:59.180 --> 00:30:01.120
that we develop a new hand.

00:30:01.200 --> 00:30:08.200
We develop some ideas, some details, also some research lines and guidelines

00:30:08.200 --> 00:30:11.280
for designs and also mechanism and patterns.

00:30:11.560 --> 00:30:17.760
And these are pieces that are useful for commercial hands and for new products.

00:30:17.760 --> 00:30:20.780
It's interesting that you say it's an iterative process

00:30:20.780 --> 00:30:24.180
so you're relying on user feedback and that's

00:30:24.180 --> 00:30:27.040
one of the things that guides you and where you go with the design process

00:30:27.040 --> 00:30:30.340
yes all the development in medical devices

00:30:30.340 --> 00:30:35.220
is done like that by making

00:30:35.220 --> 00:30:38.500
experiments with subjects and users and going

00:30:38.500 --> 00:30:41.880
back in changing the

00:30:41.880 --> 00:30:47.620
design according to the user assessment okay well this is all sounds really

00:30:47.620 --> 00:30:53.260
exciting I wonder if you have any general predictions for how this technology

00:30:53.260 --> 00:30:58.340
is going to change the way our society operates in the 10-15 years from now

00:30:58.340 --> 00:31:01.560
I think that the Star Wars prediction is enough for the moment.

00:31:02.540 --> 00:31:08.700
That's a pretty ambitious one The hand plug and play Thank you very much and

00:31:08.700 --> 00:31:10.400
thank you for coming to BCBT.

00:31:13.978 --> 00:31:20.098
The CSN podcast was produced by the Convergent Science Network of Biometrics

00:31:20.098 --> 00:31:26.878
and Biohybrid Systems, a project funded by the European 7th Research Framework Programme.

00:31:28.018 --> 00:31:33.378
For more interviews, recorded lectures or upcoming conferences in the field

00:31:33.378 --> 00:31:39.618
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00:31:40.400 --> 00:31:47.760
Music.