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The incredible potential of flexible, soft robots

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    So robots.
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    Robots can be programmed
    to do the same task millions of times
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    with minimal error, something
    very difficult for us, right?
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    And it can be very impressive
    to watch them at work.
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    Look at them.
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    I could watch them for hours.
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    No?
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    But what is less impressive
    that if you take this robot
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    out of the factories
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    where the environments are not
    perfectly known and measured like here,
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    to do even a simple task
    which doesn't require much precision,
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    and this is what can happen.
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    I mean, opening a door,
    you don't require much precision.
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    (Laughter)
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    Or, a small error in the measurements,
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    you miss the ?? and that's it
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    (Laughter)
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    with no way of recovering
    most of the time.
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    So why is that?
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    Well, for many years,
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    robots have been designed
    to emphasize speed and precision,
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    and this translates
    in a very specific architecture.
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    If we take a robot term,
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    it's a very well-defined
    set of rigid links
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    and mortars who are called actuators,
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    they move the links above the joins.
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    In this ?? structure,
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    you have to perfectly
    measure your environment,
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    so what is around,
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    and you have to perfectly
    program every movement
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    of the robot joints,
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    because a small error
    can generate a very large fault,
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    so you can damage something
    or you can get your robot damaged
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    if something is harder.
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    So let's talk about them a moment,
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    and don't think about
    the brains of these robots
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    or how carefully we program them,
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    but rather look at their bodies.
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    There is obviously
    something wrong with it,
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    because what makes a robot
    precise and strong
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    also makes them ridiculously dangerous
    and ineffective in the real world,
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    because their body cannot deform
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    or better adjust to the interaction
    with the real world.
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    So think about the opposite approach,
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    being softer than
    anything else around you.
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    Well, maybe you think that you're not
    really able to do anything if you're soft,
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    probably.
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    Well, nature teaches us the opposite.
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    For example, at the bottom of the ocean
    under thousands of pounds
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    of ?? pressure,
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    a completely soft animal
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    can move and interact with a much
    stiffer object than him.
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    He works by carrying around
    this coconut shell
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    thanks to the flexibility
    of his tentacles,
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    which serve as both his feet and hands.
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    And apparently, an octopus
    can also open a jar.
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    It's pretty impressive, right?
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    But clearly, this is not enabled
    just by the brain of this animal,
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    but also by his body,
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    and it's a clear example,
    maybe the clearest example,
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    of embodied intelligence,
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    which is a kind of intelligence
    that all living organisms have.
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    We all have that.
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    Our body, its shape,
    material and structure,
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    plays a fundamental role
    during a physical task,
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    because we can conform
    to our environment
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    so we can succeed in a large
    variety of situations
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    without much planning
    or calculations ahead.
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    So why don't we put
    some of this embodied intelligence
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    into our robotic machines
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    to release them from relying
    on excessive work
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    on computation and sensing?
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    Well, to do that we can follow
    the strategy of nature,
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    because with evolution,
    she's done a pretty good job
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    in designing machines
    for environment interaction,
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    and it's easy to notice that nature
    uses soft material frequently
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    and stiff material sparingly.
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    And this is what is done
    in this new field or robotics
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    which is called soft robotics,
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    in which the main objective
    is not to make super-precise machines
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    because we've already got them,
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    but to make robots able to face
    unexpected situations in the real world,
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    so able to go out there.
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    And what makes a robot soft
    is first of all his compliant body,
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    which is made of materials or structures
    that can undergo very large deformations,
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    so no more rigid links,
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    and secondly to move them
    we use what we call distributed actuation,
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    so we have to control continuously
    the shape of this very deformable body,
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    which is the fact of having
    a lot of links and joints,
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    but we don't have
    any stiff structure at all.
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    So you can imagine that building
    a soft robot is a very different process
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    than stiff robotics, where
    you have links, gears, screws
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    that you must combine
    in a very defined way.
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    In soft robots, you just build
    your actuator from scratch
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    most of the time,
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    but you shape your flexible material
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    to the form that responds
    to a certain input.
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    For example here, you can just
    deform a structure
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    doing a fairly complex shape
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    if you think about doing the same
    with rigid links and joints,
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    and here what you use is just one input,
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    such as air pressure.
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    Okay, but let's see
    some cool examples of soft robots.
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    Here is a little cute guy
    developed by Harvard University,
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    and he works thanks to waves
    of pressure applied along its body,
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    and thanks to the flexibility he can
    also sneak under a low bridge,
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    keep walking,
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    and then keep walking
    a little bit different afterwards.
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    And it's a very preliminary prototype,
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    but they also built a more robust version
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    with power on board that can actually
    be sent out in the world
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    and face real-world interactions
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    like a car passing it over it,
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    and keep working.
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    (Laughter)
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    It's cute.
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    (Laughter)
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    Or a robotic fish which swims
    like a real fish does
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    in water simply because it has a soft tail
    with distributed actuation
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    using still air pressure.
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    That was from MIT,
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    and of course we have a robotic octopus.
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    This was actually one of
    the first projects developed
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    in this new field of soft robots.
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    Here you see the artificial tentacle,
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    but they actually built and entire machine
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    with several tentacles they could
    just throw in the water,
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    and you see that it can kind of go around
    and do submarine exploration
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    in a different way
    than rigid robots would do.
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    But this is very important for delicate
    environments such as coral reefs.
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    Let's go back to the ground.
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    Here you see the view
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    from a growing robot developed
    by my colleagues in Stanford.
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    You see the camera fixed on top.
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    And this robot is particular
    because using air pressure
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    it grows from the tip
    while the rest of the body
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    stays in firm contact
    with the environment.
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    And this is inspired
    by plants, not animals,
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    which grows via the material
    in a similar manner
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    so it can face a pretty large
    variety of situations.
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    But I'm a biomedical engineer,
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    and perhaps the application
    I like the most
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    it's in the medical field,
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    and it's very difficult to imagine
    a closer interaction with the human body
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    than actually going inside the body,
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    for example to inform
    a minimally invasive procedure.
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    And here, robots can be
    very helpful with the surgeon
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    because they must enter the body
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    using small holes
    and straight instruments,
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    and these instruments must interact
    with very delicate structures
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    in a very uncertain environment,
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    and this must be done safely.
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    Also bringing the camera inside the body,
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    so bringing the eyes of the surgeon
    inside the subject, I feel,
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    can be very challenging
    if you use a rigid stick,
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    like a classic kind of scope.
Title:
The incredible potential of flexible, soft robots
Speaker:
Giada Gerboni
Description:

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Video Language:
English
Team:
closed TED
Project:
TEDTalks
Duration:
09:14
  • Hi there!

    Is there a typo at 3:38 - 3:42?
    And this is what is done in this new field or robotics => And this is what is done in this new field OF robotics,

    Thank you!

  • Hi Team,

    I may be wrong, but I think there may be a typo between 4:35 and 4:40, where it says:

    "but you shape your flexible material
    to the form that responds to a certain input."

    What I actually hear hear is:

    "WHERE you shape your flexible material
    TO DEFORM IN RESPONSE to a certain input."

    It makes more sense with the context as well.

    Cheers,

    Analia.

English subtitles

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