Transcript of YouTube Video: The Real Reason Robots Shouldn’t Look Like Humans

- When people think about robots,

they usually imagine something like a Boston Dynamics robot,

metallic and humanoid.

But the robots we'll see in the future

might not look like that at all.

I mean, if humans are interacting with something

on a daily basis, it's probably best not to make it

sharp, delicate, and heavy.

- How rude.

- [Derek] Instead, advanced robots might be made safer

if they're soft, flexible,

and all kinds of shapes and sizes.

So instead of Sonny from I, Robot.

- No.

- [Derek] Something like Baymax from "Big Hero 6"

might be closer to what's in our future.

- Balalala.

- This is a compilation video of five of my videos

on the surprisingly different ways robots can look,

and why we build them that way.

This is my first time trying out a series,

and honestly, it's been a busy time for the Veritasium team.

We're working on some exciting things in the background.

But in the meantime,

we wanted to put this together for all of you.

And I also caught up with Dr. Elliot Hawkes,

the scientist behind two of these robots,

to get an update on how they're progressing

and when we can expect to see them in our lives.

Are there more developments happening

with the jumping robots?

- We have a whole nother project on jumping,

and it doesn't even use springs.

So I won't give away our our secrets yet.

But keep an eye out for that one too,

'cause that's gonna be fun.

- So you have another jumping robot

which has a totally novel design?

- Yep.

- And you think it's gonna be better

than the one that you had before?

- Correct.

- And I just wanna shout out

our longtime sponsor, Brilliant.

They've supported the channel since 2021,

and it's great to get to talk about something

that I actually use myself.

I've had Brilliant on my phone for years,

and it just allows me to learn something new every day,

instead of, say, doom scrolling.

You should make valuable use of your time.

So I will tell you more about Brilliant later in the video.

Non-humanoid robots aren't just safer

for us to interact with.

One of their biggest advantages over traditional robots

is that they don't just do things

humans already do, but better.

Instead, they're specialized

to master entirely new abilities,

often ones that no human can tackle.

This is a robot that can grow to hundreds of times its size,

and it can't be stopped by adhesives or spikes.

Although it looks kind of simple and cheap,

it has dozens of potential applications,

including one day maybe saving your life.

These robots can be made out of almost any material,

but they all follow the same basic principle.

Powered by compressed air, they grow from the tip.

- That's good.

- [Derek] And this allows the robot

to pass through tight spaces, and also over sticky surfaces.

- Something like a car will get stuck to it.

It gets stuck in the wheels.

Now if I do the same thing with the vine robot,

see the robot is able to extend.

- [Derek] It can navigate this curvy

and twisted passageway effortlessly,

which suggests some of the applications

it's well suited for.

Now, you might think spikes would be the downfall

of an inflatable robot.

But even if it's punctured,

as long as you have sufficient air pressure,

the robot keeps going.

- And you might be able to hear it.

It's actually leaking now.

So I'll have to turn up the pressure.

This by itself is not yet a robot.

But once we add steering, a camera, some sensors,

and maybe some intelligence as to where we're directing it,

then we could say it's a robot.

So this is sort of the backbone of a robot.

This is what allows us to build our type of robots.

- [Derek] So where did the idea for this device come from?

- I had a vine in my office that was on a shelf,

and it was kinda out of the sunlight.

And over the course of like a year or so,

it slowly grew out this tendril,

out and around the edge of the shelf

and towards the sunlight.

I said, that's a pretty cool thing it just did, right?

So you start thinking,

well, is there a way you could do that robotically?

- [Derek] The solution is really elegant in its simplicity.

Just take some airtight tubing and fold it in on itself.

It's kinda like a water wiggly,

those toys that are really hard to hold.

When you inflate it with compressed air,

it starts growing out from the tip.

And if you want the tube to always bend at a certain spot,

you could just tape the tubing on the outside

to shorten one of the sides.

For example, you could tape it into a helical shape

to create a deployable antenna.

What about getting them to retract?

- Yeah, that's a challenging problem.

When you're in a constrained environment,

all you really have to do is pull on, we call it the tail,

so the material that is passing through

the core of the body.

You pull on it and it basically outgrows,

it just goes back inside itself.

Now if you're in a big open area like this

and you try pulling on that,

instead of inverting, so retracting,

it tends to kinda coil up and make a ugly shape.

- [Derek] And the engineers have come up with ways

to retract the tube to prevent it from buckling

using internal rollers.

But the tube doesn't have to be the same diameter

the whole way along.

Here there's actually a much wider section.

Think of it like a pillow

that's packed into the end of the robot.

- Yeah, if you could sit cross-legged on it.

- Cross-legged on the table?

This sounds super sketchy.

So it grows underneath the table just as usual,

and then, as the pillow part starts inflating.

Is this not good, or is this okay?

It can actually lift me up.

So my balance is not great, as we can see.

- [Elliot] Try standing on it.

- Stand on it? - Yeah.

- What's amazing is that this doesn't require

much pressure above atmospheric.

Just a tenth of an atmosphere applied over a large area,

like a square meter, can lift something as heavy

as a thousand kilograms, all the while remaining soft.

Whoa.

Woo. That was great.

That's the paradoxical thing about pressure.

You can get a large overall force with low pressure

as long as the area is large enough.

What sort of area is that, that pillow there?

- It's 600 square inches.

So with one PSI, 600 pounds.

- Yeah, that's just crazy. - Two PSI, 1,200 pounds.

- [Derek] And the whole time, it feels really soft.

- Yeah, 'cause there's a couple PSI, right?

- [Derek] It's important that the device is still soft

so it doesn't hurt anyone.

- So you can design these things

to have cross-section that changes along its length.

So it could be a very small body

that could grow into, for example, a collapsed building

and potentially lift a large object

off someone who's trapped,

or maybe in a car crash or something like that.

It can apply huge forces

with very soft and lightweight, cheap materials.

- [Derek] These robots can also be deployed

in search and rescue operations

by attaching sensors like a camera onto the front.

- These robots are actually really hard to stop.

So you can take them, grow them into a clutter,

potentially a collapsed building or something like that,

and they will continue to go somewhere.

An alternative is, they're so cheap.

I mean, they're basically free.

You could grow a hundred of 'em, let's say,

into a collapsed building with some sensing on them,

and maybe only one of them finds somebody.

But I mean, that's a huge success if it does.

- [Derek] But how do you keep a camera

connected to the front of the robot

when it grows out from the tip?

Well, one way is to use an end cap,

which allows that camera just to stay on the front,

pushed from behind by the robot.

But there are other mechanisms of attachment.

The tiny wireless camera is mounted on an external frame,

but this frame interlocks with an internal frame,

which is actually inside the pressurized part

of the robot body.

It's similar to how a roller coaster's wheels

go around the track.

So this prevents the camera from falling off

as the robot grows.

What's really interesting is how the vine robot

can be actively steered.

They attach artificial muscles to the robot.

So the way this muscle works is that if you inflate it,

it expands sideways,

which leads to it contracting in length.

- We don't actually use these much anymore

because although it's soft, it's still somewhat stiff.

So what we use instead

are simply tubes of this ripstop nylon fabric,

with the braid oriented at 45 degrees.

So in this sense,

we just have one single layer of airtight fabric.

This is the main robot body here.

Then we have three pneumatic muscles connected to it.

Now, these three muscles

are each connected to their own air supply,

connected to regulators over here.

As the robot extends from the tip,

we can steer it by shortening and lengthening the sides.

So just the way your hand works

is if I shorten this tendon in my arm,

my hand will move this way.

Or if I shorten the one on this side,

it'll move the other way.

So our vine robot, we have these muscles along its side,

so as they inflate, they'll turn it one way.

Then if I inflate the one on the other side,

it'll turn the other way.

- [Derek] So the vine robot can fit through tight spaces,

it doesn't typically get stuck on anything,

and isn't bothered by sharp objects.

And once you attach that camera on the front,

it's ideal for things like archeology.

The robot was actually taken to Peru

to investigate some very narrow shafts.

- So we were looking at this archeological site

that was built somewhere between 1,500 and 500 BC

in the Andes Mountains of Peru,

and it was an ancient temple

that had all these underground spaces.

And part of what the archeologists were doing

was trying to understand what the spaces were for,

and what the people who built them

were trying to do with them.

So part of that was unknown.

But there were these giant rooms that they called galleries,

and then there were these small ducts, or tunnels

that were offshoots of these rooms,

and they wanted to know where these ducts led,

but they were too small for a person to go in.

So we were able to successfully use the vine robot

to explore three of the tunnels

that couldn't have been seen through other means,

which was super exciting.

And we got video inside the entire tunnels

and gave it to the archeology team.

- [Derek] There's an application where I feel

like this solution is just so obvious

I wonder why it didn't exist before.

- Intubation is literally the process

of putting a tube into a patient.

The purpose is to breathe for the patient

when the patient isn't breathing.

And so traditionally, a highly-trained medical professional

would take their laryngoscope, come above the patient.

And once they see the trachea,

you start to pass your tube down inside.

I'm almost there. I can see the light.

So if you can see right now,

I just got it in to the trachea.

- Oh, yeah. - Right there.

And it took me a couple minutes,

and I was really kinda wrenching on this patient here.

So if there's somebody who's not breathing,

every second counts.

- [Derek] But by using a miniature version

of this vine robot, researchers are hoping

to make intubation faster and safer.

- Somebody like me with no training

could pretty simply insert this device,

aim towards the nose,

and just like that, if you can see, we've already intubated,

and all it took was a little bit of pressurization.

Just like that.

- [Derek] It almost looks like a sort of a party favor.

- Yeah, right?

It's like a, this reminds me a lot of those inflatable

kinda like Play-Doh structures that you see at car lots.

- [Derek] How does it know to go down the right tube?

- Yeah, so that's one of the kind of cool things

about soft robotics, is the robot is quite compliant,

and we see that in a lot of these demos.

They can squish, they can bend.

And so, how we've designed it is that

the main robot grows down into the esophagus,

and then we have this side branch

that heads towards the trachea,

and it's quite flexible.

And so, it basically finds the opening.

So it's a really neat example

of kind of a passive intelligence,

mechanical intelligence, some people call it,

where it can find its path

even if we don't know exactly the shape beforehand.

- [Derek] Have you tried this on a real person yet?

- Not on a real person,

but we've actually tried this in a cadaver lab,

and we've shown that we can move from

this nice idealized version to an actual in vivo situation

and successfully intubate a patient.

- [Derek] There's another application,

which is burrowing into sand or soil.

When you blow compressed air into something like sand,

it fluidizes, it becomes like a liquid,

and that can allow the vine robot

to grow into granular materials like sand.

- If you've ever been to the beach

and you try to stick your umbrella pole into the ground,

it's fairly difficult.

- I'll try to push that probe down into the sand,

no fluidization.

Yeah, it feels like it sort of gets wedged in there.

- So now I'll turn on the air.

- Oh yeah, you can feel it immediately.

Oh, wow.

Yeah, that's a lot.

- So what we've done here is essentially,

we just blow a jet of air out the front of the robot,

and that loosens up the sand enough

to reduce the force of the sand so that the robot,

just by tip extension, can make its way through.

(air whooshing)

(rousing music)

- This makes vine robots an attractive option

for NASA when they look for ways

to study the surfaces of other planets.

Recently on Mars, they tried to have a burrowing robot,

but it got stuck.

Could you do it better basically with this?

- Yeah, that's a good question.

So the Mars InSight mission, they have this heat probe.

The idea there was to be able to sort of

hammer its way down into the core

and then place a sensor

that could detect the temperature of Mars.

However, the problem they ran into there

is that it turned out the material that they put it in

was more cohesive than they expected.

Inside the robot, something would wind up and pound it down,

wind up and pounded down.

But it turned out there wasn't enough friction

between the probe and the sand.

So what was really happening was it would wind up,

pound down, wind up, pound down, wind up, pound down.

So it'd never actually go anywhere.

The advantage of something like this, like tip extension,

is you'd have your base, you start at the surface,

and you just keep extending your way down.

You're not necessarily relying on the interaction

with what is surrounding it to make it work.

- [Derek] What amazes me about vine robots

is how a plant inspired this simple, elegant design.

It's so easy in fact that you could build one yourself

in as little as a minute.

There are instructions online that I'll link to.

But from that basic design have come

a huge variety of robots,

with different applications from archeology

to search and rescue, or intubation to space exploration.

And what else can you think of to do with it?

- I've actually gotten a lot of emails from viewers

about crazy ideas that we hadn't thought of.

So keep 'em coming.

We love to hear your ideas.

- Are there any ideas that you can share with us

that are like, oh, like that's actually really cool?

- One idea was for clearing mines, landmines.

So the idea was that you'd actually

run a vine robot through the field

and then detonate the landmines, and basically make a path

that civilians could walk through the field.

So I thought that was kind of a cool idea.

- Do you think they'd create enough pressure

to trigger these things?

- I think the idea was they were gonna actually

put explosives in the vine to detonate the,

yeah, the land mines themselves.

- I mean, I'm also thinking, now that you mention that,

like I'm thinking you could put metal detector type sensors

on the vine robot. - Absolutely.

- So spread them across the field

and they'll pick up where the mines are.

- I'll give you another crazy example.

Another one was for space applications of docking,

so two spacecraft docking together,

you have to make an airtight seal.

And so, the idea was, well,

maybe you could use a vine robot to do this.

- Some sort of like airlock or something going out and then.

- So basically, yeah, you can imagine

the two tubes coming together, not sealed,

and then the vine robot growing through

and basically making the seal.

- Are there any updates about the vine robot?

Like have the medical trials gotten anywhere?

- So we just did a trial

with emergency medical practitioners using our device.

We gave 'em five minutes of training,

we gave 'em the device,

and they were 90-ish percent successful in intubating,

in very rapid, something like 20 seconds.

- Oh, wow.

- The nice thing about our our device

is that if it fails, it fails in 20 seconds.

And so, it doesn't take three minutes to attempt

and then realize you didn't get it.

I think something really nice about that

is that it is so rapid and easy

that even if it does fail, you get another shot.

- Yeah, I mean, that one seems like it's so close

to actually having a big real world application.

I mean, how common are intubations?

- So intubations in the OR,

so operating room are quite common.

I think like 15 million a year.

That's probably not our initial target

'cause those are very reliable, like 99% plus.

The fundamental problem is that the tools are designed

for those doctors in those scenarios.

And what happens is those similar tools

get put out into the field for an ambulance

and a paramedic is trying to do an intubation,

but they're doing it maybe in the dark,

with someone in a poor body position,

where there's blood in the mouth.

So our device takes that required skill out

and basically lets the vine robot

find the way into the trachea.

And so, pre-hospital,

there's around a million intubations a year.

And we think many intubations that aren't even attempted

because the tools just aren't there.

And then our kind of long shot is eventually,

there's AEDs, the defibrillators everywhere.

One issue there is there's not a way

to help the person breathe.

Possibly if we can make this thing so simple,

it could basically be packaged with a AED,

where you could both get the heart going,

and you could intubate and get the oxygen in.

But I think we're close.

It's pretty easy.

You'll have to come back and get another video.

We'll let you intubate a cadaver.

That'll be fun.

- So we've kind of answered this question,

but are these robots, vine robots still being worked on?

- We have a project right now on anchoring,

especially we're interested in.

So if you think of a plant root.

If you ever try to pull out, I don't know,

like a small shrub or something,

it's incredibly hard, right?

Like you're looking at this,

it's got like a half an inch stem

and you're pulling on it and pulling on it,

it's like hundreds of pounds of force.

So you're like how is this possible?

And I think one of the coolest things

is that a hundred pounds of anchoring force

was created with almost no reaction force initially.

There was like a seed that slowly grew down into the ground.

- It's like all these little tendrils,

and I'm imagining the friction sums over all of those.

- So basically, when you're trying to go into the soil,

the thing resisting you is the surface area of the tip.

That's what you're pushing in.

And then what's giving you the anchoring force

is the surface area on the sides.

And so, you can imagine, if you clump 'em all together,

the area in the tips doesn't change,

but the surface area of the sides went down.

So you basically wanna split 'em up

into as many, practically.

So anyway, we're using that concept now

to make these anchors,

and we're working with NASA now one as well.

And so, it's like this deployable anchor,

it's very light.

You could throw it somewhere, or just drop it,

and then the roots grow down,

there's four roots that grow down into the ground,

and it was something like a hundred Newtons of force

to pull it out.

- Yeah, it sounds like a very sci-fi type thing,

where you could like throw the root pack down

and it just like phmf, and then the roots roots grow out

and you're like, oh yeah, the anchor is locked in.

- Yep, absolutely, absolutely.

- Yeah, that's amazing.

After seeing the unstoppable robot,

we returned to Elliot's lab a few years later to see a robot

that has conquered a totally different specialty,

the art of jumping.

This tiny robot weighs less than a tennis ball,

and can jump higher than anything in the world.

In the competitive world of jumping robots,

the previous record was 3.7 meters,

enough to leap a single story building.

This jumper can reach 31 meters,

higher than a 10-story building.

It could jump all the way from the Statue of Liberty's feet

up to eye level.

For something to count as a jump,

it must satisfy two criteria.

First, motion must be created by pushing off the ground.

So a quadcopter doesn't count,

because it pushes off the air.

And second, no mass can be lost.

So rockets constantly ejecting burnt fuel are not jumping,

and neither is an arrow launched from a bow.

The bow would have to come with the arrow

for it to count as a jump.

Many animals jump,

from sand fleas, to grasshoppers, to kangaroos,

and they launch their bodies into the air

with a single stroke of their muscles.

The amount of energy delivered in that single stroke

determines the jump height.

So if you wanna jump higher,

you have to maximize the strength of the muscle.

The best jumper in the animal kingdom

is the galago, or bush baby,

and that's because 30% of their entire muscle mass

is dedicated to jumping.

This allows the squirrel-sized primate

to jump over two meters from a standstill.

- It has like very small arms and upper body,

and has just like huge jumping legs.

It doesn't have better muscles or anything,

it just has more of them.

- [Derek] There are some clever jumping toys.

- I feel like, there we go. Oh!

- I used to play with these poppers as a kid.

And when you deform a popper,

you store energy in its deformed shape.

Effectively it becomes a spring.

And then, just like an animal,

in one stroke, it applies a large force to the ground,

launching itself into the air.

All elastic jumpers follow the same principle

of storing energy in a spring

and releasing that energy in a single stroke to jump.

But none of the jumping toys we had

could compare to this tiny robot.

Of all the things that I have ever tried to film,

this is the most challenging.

Because it's so small, it accelerates rapidly

and travels a huge distance on each jump.

Each takeoff happened faster than we could even register.

Now, jumping might sound like a niche skill,

but engineered jumpers would be perfect

for exploring other worlds,

particularly where the atmosphere is thin or non-existent.

On the moon, with one sixth the gravity of earth,

this robot would be able to leap 125 meters high

and half a kilometer forward.

Rovers may struggle with steep cliffs and deep craters,

but jumpers could hop in and out,

fetching samples to bring back to the rover.

And you don't lose much energy when jumping.

So if you could store the kinetic energy

back in the spring on landing,

the efficiency could be near perfect.

The team has already started to build

an entire fleet of jumping robots.

Some of them can right themselves after landing,

so they can take off again right away.

Others are steerable.

They have three adjustable legs

that allow the jumper to launch in any direction.

- Essentially what we've done

is we've added three additional legs that don't store energy

but rather, allow it to form a tripod sort of

that allows it to point a direction

and launch in that direction.

- [Derek] But how does this jumping mechanism work?

Well, the main structure consists

of four pieces of carbon fiber,

bound together by elastic bands.

Together, they create a spring

that stores all the energy needed for the jump.

At the top of the robot is a small motor.

A string wrapped around the axle

is connected to the bottom of the robot.

So when the motor is turned on,

it winds up the string, compressing the robot,

and this stores energy in the carbon fiber and rubber bands.

After about a minute and a half,

the structure reaches maximum compression.

How do you know when to put it down?

- Basically once the bottom there

sticks inward and it can stand up,

right now it would roll over,

then you can put it down. - Got it.

- So as soon as you can.

- [Derek] And at this point, a trigger releases the latch

that's holding the string on the axle.

So all the string unspools all at once,

and the energy stored in the spring is released.

- Yeah.

- [Derek] The jumper goes from a standstill

to over a hundred kilometers an hour

in only nine milliseconds.

That gives an acceleration of over 300 Gs.

That would be enough to kill basically any living creature.

- Watch out, watch out, watch out.

- But how does it jump

so much higher than everything else,

nearly 10 times higher than the previous record holder?

Well, this jumper has three special design features.

First, the jumper is incredibly light, at just 30 grams.

It achieves this weight by employing

a tiny motor and battery.

Plus, its entire structure,

made of lightweight carbon fiber and rubber,

doubles as the spring.

Per unit mass, natural latex rubber can store more energy

than nearly any other elastic material,

7,000 joules per kilogram.

And the design of the spring makes it ideal for its purpose.

Initially they tried using only rubber bands

connected to hinged aluminum rods.

But with this design, when compressing it,

the force rises to a peak and then decreases.

Just feels like it all of a sudden

got a lot easier to pull.

Another design with only carbon fiber slats

requires a lot of force to get started,

and then it increases linearly after that.

There is more and more force required to do this.

The ultimate design is a hybrid of these two approaches.

The benefit being, its force profile is almost flat

over the entire range of compression.

It feels like that needs a lot of force.

And now it feels pretty steady

with the amount of force that I need to apply.

Therefore, it provides double the energy storage

of a typical spring,

where force is proportional to displacement.

The researchers argue

this is the most efficient spring ever made.

- Sometimes a string'll snap.

It's not always consistent

that it releases when it's supposed to.

- Oof!

- The string cut it. Lemme go restring it.

I'll be right back.

- [Derek] All right.

You'd probably expect that lighter

would always be better with a jumper,

especially if the added weight is simply dead weight

rather than anything useful, like a spring or a motor.

- So we're adding basically a chunk of steel to our jumper

and it's gonna jump higher,

and the key is that we're adding it to the top.

You want your body, the part that's moving,

to weigh at least as much as the foot.

When your body's lighter, it's basically just collision,

this energy transfer is very inefficient

and you don't jump very high.

- But the real secret to how this jumper

can achieve such heights is through something

the researchers call work multiplication.

Unlike an animal, which can only jump

using a single stroke of its muscle,

an engineered jumper can store up the energy

from many strokes,

or in this case, many revolutions of its motor,

and that's how the motor can be so small.

It doesn't have to deliver the energy all at once.

It builds it up gradually over a few minutes.

So the trade-off is kind of like time for energy.

- [Elliot] Exactly.

- [Derek] And this is possible

because there is a latch under tension

preventing the spring from unspooling

until the robot is fully compressed.

Interestingly, biological organisms do use latches.

For example, the sand flea,

which can jump incredibly high for its body size.

- It has a muscle that is attached, let's say, right here,

is right inside of the pivot point.

So as it contracts that muscle,

the leg doesn't extend, right?

It's actually closing it more.

But then it has a second muscle that pulls it out.

It's going to shift this muscle

ever so slightly outside the pivot point.

- That's wild.

So there's these two muscles that are working.

- So here's your big power muscle.

Here's your trigger muscle.

It's a torque reversal mechanism.

And then all of a sudden, it shoots.

- [Derek] But even though the biological world has latches,

no organism has developed work multiplication

for a jump from standstill, at least not internally.

Spider monkeys have been observed

pulling back a branch hand over hand

using multiple muscle strokes

stored in the bend of the branch

to catapult themselves forward.

There's a spider that shoots out a silky string,

which they pull back multiple times

in order to slingshot themselves to another location.

So it's like slingshotting itself?

- Yes, they're called the slingshot spider.

- Now, I tried jumping in moon boots

to see if they would help me go higher.

(remarks drowned out by background noise)

Okay. Oof.

And it certainly felt like they did,

but Elliot pointed out that from a standing start,

they don't actually help much.

- Kind of build it, build it, build it, and then go.

- Okay.

Only if you jump a few times before can you store up

some of the previous jumps energy in the elastic bands,

and then that energy helps launch you

higher on the following jump.

For years, engineered jumping was developed

to mimic biological jumping.

But with work multiplication, it gained an advantage.

If you can generate a large burst of energy

simply by running a motor for a long time,

the power of the motor is no longer the limiting factor,

the spring is.

So you can focus on making

the most powerful spring possible.

This jumper has nearly maximized

the achievable height with this spring.

Assuming an infinitely light motor

with infinite time to wind up,

the highest possible jump with this compression spring

is only around 19% higher than what they've achieved.

If you want to incorporate air resistance

and play with aerodynamics,

another way to send the jumper higher

is to make it 10 times isometrically larger,

leading to a 15 to 20% higher jump.

- So we're in kind of an intermediate scale

where we still are getting hit by air drag,

but it's not as bad as the flea.

If we went 10 times bigger,

we could actually avoid air drag completely.

- This works since if the jumper is scaled up

10 times on all sides,

the cross-sectional area increases by a hundred,

which increases the drag force,

but the jumper's mass increases by a thousand.

So it has way more inertia,

meaning the drag force affects it less.

The entire concept of work multiplication

could bring robots to the next level.

Currently, motors and robots have to be relatively small

so they remain portable.

But the simple principle of building up the energy

from multiple turns of a motor over time

would allow robots to store and then release

huge amounts of energy,

and set some world records in the process.

When we visited you, we were looking at 110 feet

and it was the record holder.

My question, is that still the record as far as you know?

- It is.

I also challenge all the viewers to beat it,

because it is beatable.

So I hope someone in the next few years will beat it,

and if not, we'll beat our own record,

because it's beatable.

I will say that much.

- Are there more happening with the jumping robots?

- We have a whole nother project on jumping,

which we also think will beat it,

and it doesn't even use spring.

So I won't give away our secrets yet.

But keep an eye out for that one too,

'cause that's gonna be fun.

- So you have another jumping robot,

which has a totally novel design?

- Yep.

- And you think it's gonna be better

than the one that you had before?

- Correct. - Wow, that's extreme.

And in terms of making these things applicable?

- Yeah, so I mean, we do have a project with NASA.

I will say, our stuff with NASA moves pretty slow,

just in terms of what they really care about

is getting something really, really reliable.

If they're gonna send it to the moon, it can't mess up.

And so, that's a slow going process.

But I just think that's still a goal,

is to get it to the moon.

- It would be like the next Mars helicopter or something.

- I think that's a really good analogy.

So the Mars helicopter has just been doing awesome,

basically being this little scout

that can just go out and get some nice views

of where the rover might need to go,

or maybe getting some samples.

You can't have a helicopter on the moon, but you can jump.

And we think we can get pretty similar performance

in terms of height and stuff like that

with jumping on the moon compared to the helicopter.

So yeah, no, that's a great analogy.

- Are there any interesting emails

that came about from the jumping robot video?

- So a lot of people want to make one,

and I will say, it's really hard,

and I keep writing that it's really hard.

Every piece in that robot was...

They talk about safety factors in engineering

where you're supposed to have a good safety factor,

and we had no safety factors in anything.

And so, pretty much everything was near its failure limit.

And so, that just made it incredibly hard.

But what we're trying to do actually right now

is put together a tutorial to make like a,

you know, it's not gonna jump a hundred feet,

but it'll jump maybe 20 or 30 feet.

Stay tuned for that,

'cause I think that would be a fun way to get people

to build one themselves and try it out.

I will say though that if you really push the limits,

what we're trying to do,

wear your safety glasses and your gloves, and all of that.

Because the number of shards of carbon fiber

I've gotten into my fingers.

- Oh, no. Brutal.

What is the biggest thing you learned

building the jumping robot?

- How many things can go wrong

when you're trying to build something really cool.

'Cause this was years and years of failing,

over and over, and over and over again.

So I think something that sticks out to me

is that it takes a lot of failure

to get a success like that.

- Would anyone ever say to you,

well, why did it take that many years?

Could you not have modeled out the springs,

like done some simulations of it

before you actually build the thing?

- Well, no, and I should mention too

that it's not like we didn't do any modeling or simulation.

That's all part of our cycle too.

But the problem is, I mean, we didn't even know what shape.

We went through so many different configurations of robots.

Like some were kind of this ball shape,

but we had other robots that were more stick like,

rubber band based.

It's like this crazy search over a huge space,

and comparing all kinds of different trade offs.

I think that's a reasonable amount of time

to make a world record, but that's just me.

- The jumper robot can jump so high

precisely because it's built of rubber and carbon fiber,

with a tiny body and massive legs.

Its whole body is designed for one physical purpose.

The specialization of robots

is also natural in academic research,

since it's easier for scientists to isolate

and understand one ability.

These may later be included

into a single more complex robot.

People expect sort of the Boston Dynamics,

humanoid type robots.

Why have you investigated these sort of other

very strange looking type robots?

- The thing that maybe unifies all of them is,

they're mostly about mechanical design, my robots,

and less so about controls, and vision,

and AI, and that side.

And so, often we think of what we do

are kind of adjacent to core robots.

But our lab isn't as focused on traditional robotics

just because I find more joy myself in mechanical design.

So that's what I like to do.

- Do you have a personal favorite robot?

- I can't play favorites with my robots.

- I know, it's like picking amongst your children.

Like it's just impossible.

- I love all my robots. I love all my robots.

I will say though that the jumper, there was a certain,

it took a lot of learning from our failures

and revising it.

And so, when we finally got that one working,

I think that was really satisfying.

- From your perspective, how did our collaboration

come to be in the first place?

- Oh, wow.

Okay. That's a fun story.

So you sent me an email, I don't know how many years ago,

maybe five years ago, something like this, and I ignored it.

And I went into lab one day, I just mentioned to my student,

I was like, oh, some guy emailed about making a video.

And he is like, "Yeah, who was it?

Maybe I could help out or something."

So I forwarded it to him, he's like,

"Do you know who this is?"

So then we responded.

And we appreciated the effort you put in

to the details in getting the story right.

I forget how long we had this call.

I had this call with Emily,

it was maybe four hours or something.

We went through the details of jumping theory.

'Cause she wanna get everything just right

for that jumping video.

As an academic, we care about that stuff

and we want it to be right.

- But the most specialized perfected match

between a robot's build in its abilities

comes from one competition that's been refining this

for nearly 50 years.

Micromouse is the oldest robotics competition in the world.

It's like the Formula 1 of robotics,

but you have to see their speed to believe it.

This tiny robot mouse can finish this maze

in just six seconds.

(rousing music)

Every year around the world,

people compete in the oldest robotics race.

The goal is simple:

get to the end of the maze as fast as possible.

- Person who came second

(spectators cheering)

lost by 20 milliseconds.

- [Derek] But competition has grown fierce.

- When somebody saw my design, they said, you're crazy.

- [Derek] Why is there so much tension?

What's riding on it?

Honor? - Honor.

(spectators applauding)

- [Derek] In 1952, mathematician Claude Shannon

constructed an electronic mouse named Theseus

that could solve a maze.

The trick to making the mouse intelligent

was hidden in a computer built into the maze itself,

made of telephone relay switches.

The mouse was just a magnet on wheels essentially,

following an electromagnet

controlled by the position of the relay switches.

- [Claude] He is now exploring the maze

using a rather involved strategy of trial and error.

As he finds the correct path,

he registers the information in his memory.

Later, I can put him down in any part of the maze

that he's already explored

and he'll be able to go directly to the goal

without making a single false turn.

- Theseus is often referred to

as one of the first examples of machine learning.

A director at Google recently said

that it inspired the whole field of AI.

25 years later, editors at the Institute of Electrical

and Electronics Engineers, or IEEE,

caught wind of a contest for electronic mice,

or le mouse electronique, as they had heard.

They were ecstatic.

Were these the successors Theseus?

But something had been lost in translation.

These mice were just batteries in cases,

not robots capable of intelligent behavior.

But the misunderstanding stuck with them, and they wondered,

why couldn't we hold that competition ourselves?

In 1977, the announcement for IEEE's

amazing Micromouse Maze Contest

attracted over 6,000 entrants.

But the number of successful competitors dwindled rapidly.

Eventually, just 15 entrants reached the finals in 1979.

But by this point, the contest had garnered

enough public interest to be broadcast

nationwide on the evening news.

And just like the rumor that inspired the competition,

Micromouse began to spread across the world.

♪ Micromouse for the taking ♪

♪ Micromouse, it's here and now ♪

♪ Take a chance and start creating ♪

- The Micromouse.

- [All] Micromouse!

(upbeat music)

- Even people in the top two or three,

you can see them trying to set their mice up,

and they can barely find the buttons to press

because it's absolutely nerve wracking.

(suspenseful music)

It doesn't matter what it was.

It could be horse racing, it could be motor racing,

it could be mouse racing.

If you have a shred of competitiveness in you,

you wanna win, right?

- [Derek] Just like a real mouse,

a micromouse has to be fully autonomous,

no internet connection, no GPS or remote control,

and no nudging it to help it get unstuck.

It has to fit all its computing, motors,

sensors, and power supply

in a frame no longer or wider than 25 centimeters.

There isn't a limit on the height of the mouse,

but the rules don't allow climbing, flight,

or any forms of combustion.

So rocket propulsion for example, is out of the equation.

(whistle being blown)

The maze itself is a square about three meters on each side,

subdivided by walls

into corridors only 18 centimeters across.

And in 2009,

the half-size Micromouse category was introduced,

with mice smaller than 12 and a half centimeters per side,

and paths just nine centimeters across.

The final layout of the maze is only revealed

at the start of each competition,

after which competitors are not allowed

to change the code in their mice.

(spectators applauding)

The big three competitions, all Japan, Taiwan,

and USA's APEC, usually limit the time mice get in the maze

to seven or 10 minutes,

and mice are only allowed five runs

from the start to the goal.

- So if you spend a lot of time searching, that's a penalty.

- Makes sense.

So the strategy for most micromice

is to spend their first run carefully learning the maze

and looking for the best path to the goal,

while not wasting too much time.

Then they use their remaining tries

to sprint down that path for the fastest runtime possible.

(spectators applauding)

Solving a maze may sound simple enough,

though it's important to remember

that with only a few infrared sensors for eyes,

the view from inside the maze is a lot less clear

than what we see from above.

Still, you can solve a maze with your eyes closed.

If you just put one hand along one wall,

you will eventually reach the end of most common mazes,

and that's exactly what some initial

Micromouse competitors realized too.

And after a simple wall following mouse

took home gold in the first finals,

the goal of the maze was moved away from the edges

and freestanding walls were added,

which would leave a simple wall following mouse

searching forever.

Your next instinct might be to run through the maze

taking note of every fork in the road.

Whenever you reach a dead end or a loop,

you can go back to the last intersection

and try a different path.

If your last left turn got you nowhere,

you'd come back to that intersection and go right instead.

You can think of this strategy

as the one a headstrong mouse might use,

running as deep into the maze as it can

and turning back only when it can't go any further.

This search strategy, known as depth-first search,

will eventually get the mouse to the goal.

The problem is, it might not be the shortest route,

because the mouse only turns back when it needs to,

so it may have missed a shortcut that it never tried.

The sibling to this search algorithm, breath-first search,

would find the shortest path.

With this strategy, the mouse runs down one branch

of an intersection until it reaches the next one,

and then it goes back to check the path it skipped

before moving on to the next layer of intersections.

So the mouse checks every option it reaches,

but all that backtracking

means that it's rerunning paths dozens of times.

At this point, even searching the whole maze

often takes less time.

So why not just do that?

A meticulous mouse could search all 256 cells of the maze,

testing every turn and corner

to ensure it has definitely found the shortest path.

But searching so thoroughly isn't necessary either.

Instead, the most popular Micromouse strategy

is different from all of these techniques.

It's a search algorithm known as flood-fill.

This mouse's plan is to make optimistic journeys

through the maze, so optimistic in fact,

that on their first journey their map of the maze

doesn't have any walls at all.

They simply draw the shortest path to the goal and go.

When their optimistic plan inevitably hits a wall

that wasn't on their map, they simply mark it down

and update their new shortest path to the goal.

Running, updating,

running, updating,

always bee lining for the goal.

Under the hood of the algorithm,

what the micromouse is marking on their map

is the distance from every square in the maze to the goal.

To travel optimistically, the mouse follows the trail

of decreasing numbers down to zero.

Whenever they hit a wall,

they update the numbers on their map

to reflect the new shortest distance to the goal.

This strategy of following the numerical path

of lease resistance gives the flood-fill algorithm its name.

The process resembles flooding the maze with water

and updating values based on the flow.

Once the mouse reaches the goal,

it can smooth out the path it took

and get a solution to the maze.

However, it may look back and imagine

an even shorter uncharted path it could've taken.

The mouse might not be satisfied

that it's found the shortest path just yet.

While this algorithm isn't guaranteed

to find the best path on first pass,

it takes advantage of the fact that micromice

need to return to the start to begin their next run.

So if the mouse treats its return as a new journey,

it can use the return trip to search the maze as well.

Between these two attempts, both optimized

to find the shortest path from start to finish,

it's extremely likely that the mouse will discover it,

and the mouse will have done it efficiently,

often leaving irrelevant areas of the maze

entirely untouched.

Flood-fill offers both an intelligent and practical way

for micromice to find the shortest path through the maze.

Once there was a clear strategy to find the shortest path,

and once the microcontrollers

and sensors required to implement it became common,

some people believed Micromouse had run its course.

As a paper published in IEEE put it,

"At the end of the 1980s,

the Micromouse Contest had outlived itself.

The problem was solved

and did not provide any new challenges."

In the 2017 all-Japan Micromouse competition,

both the bronze and silver placing mice

found the shortest path to the goal.

And once they did, they were able to zip along it

as quick as 7.4 seconds.

(spectators applauding)

But Masakazu Utsunomiya's winning mouse, Red Comet,

did something entirely different.

This is the shortest path to the goal,

the one that everyone took.

This is the path that Red Comet took.

It's a full five and a half meters longer.

That's because micromice aren't actually

searching for the shortest path,

they're searching for the fastest path,

and Red Comet's search algorithm figured out

that this path had fewer turns to slow it down.

So even though the path was longer,

it could end up being faster.

So it took that risk.

(spectators applauding)

It won by 131 milliseconds.

Differing routes at competition

are now more common than not,

and even just getting to the goal remains difficult,

whether due to a mysterious algorithm

or a quirk of the physical maze.

- [Announcer] On the corner, it's a little bit like a, whoa.

- [Derek] Micromice don't always behave as you'd expect.

Micromouse is far from solved,

because it's not just a software problem

or a hardware problem, it's both, it's a robotics problem.

Red Comet didn't win

because it had a better search algorithm,

or because it had faster motors.

It's cleverness came from how the brains

and body of the mouse interacted together.

- So it turns out solving the maze is not the problem,

it never was the problem, right?

But it's actually about navigation,

and it's about going fast.

- Every year, the robots get smaller, faster, lighter.

There is still plenty of innovation left.

And there's a small group of devotees in Japan

busy building quarter-sized micromouse,

which would sit on a quarter

- [Derek] Nearly 50 years on,

Micromouse is bigger than ever.

(spectators applauding)

Competitions have appeared solved at first glance before.

The high jump was an Olympic sport since 1896,

with competitors refining their jumps

using variations like the scissor, the western roll,

and the straddle over the decades with diminishing returns.

But once foam padding became standard in competition,

Dick Fosbury rewrote the sport in 1968

by becoming the first Olympian

to jump over the pole backwards.

Now almost every high jumper

does what's known as the Fosbury Flop.

If Micromouse had indeed stopped in the 1980s,

the competition would've missed its own Fosbury flops,

two innovations that completely changed how micromice ran.

After all, a lot can change in a sport

where competitors can solder on

any upgrade they can imagine.

The first Fosbury flop

was one of the earliest innovations in Micromouse,

and had nothing to do with technology.

It was simply a way of thinking outside the box,

or rather, cutting through the box.

Every mouse used to turn corners like this.

But everything changed with the mouse, Mitee 3.

- The Mitee mouse three

implemented diagonals for the first time.

(spectators cheering)

And that turned out to be a much better idea

than we really thought.

And because it's cool, maze designers

often put diagonals into the maze now.

So, you know, you could end up with a maze where it never

comes up, but most of the time, it's actually a benefit.

- [Derek] In order to pull off diagonals,

the chassis of the mouse had to be reduced

to less than 11 centimeters wide,

or just five centimeters for half-size Micromouse.

The sensors and software of the mouse had to change too.

When you're running between parallel walls,

all you have to do is maintain an equal distance

between your left and right infrared readings.

But a diagonal requires an entirely new algorithm,

one that essentially guides the mouse

as if it had blinders on.

- Normally if you're going along the side of a wall

or something like that,

most of the time, you can see the wall all the time.

And so, that helps you to guide yourself,

and you know when you're getting off.

But in the diagonal situation,

you just see these walls coming at you.

- [Derek] And if you veer even a tiny bit off course,

snagging a corner is a lot less forgiving

than sliding against a wall.

Diagonals are still one of the biggest sources of crashes

in competition today.

But in exchange, a jagged path of turns

transforms into one narrow straightaway.

- Whoa, whoa!

(spectators applauding)

(spectators applauding)

(spectators cheering)

- [Derek] These days, nearly every competitive micromouse

is designed to take this risk.

Cutting diagonals opened up room for even more ideas.

Around the same time,

mice were applying similar strategies to turning.

Instead of stopping and pivoting through two right turns,

a mouse could sweep around in a single U-turn motion.

And once the possibility of diagonals were added,

the total number of possible turns opened up exponentially.

The maze was no longer just a grid of square hallways.

With so many more options to weigh,

figuring out the best path became more complex than ever.

But the payoff was dramatic.

What was once a series of stops and starts

could now be a single fluid snaking motion.

How micromice imagined and moved through the maze

had changed completely.

(spectators applauding)

Available technology was getting upgrades

over the years as well.

Tall and unwieldy arms that were used to find walls

were replaced by a smaller array

of infrared sensors onboard the mouse.

Precise stepper motors were traded in

for continuous DC motors and encoders.

- The DC motors give you more power

for less size and weight.

And so, we were interested in doing that.

So then you have to have a servo,

you have to actually have feedback on the motor

to make it do the right thing.

- [Derek] Gyroscopes added an extra sense of orientation.

It's like a compass. - Absolutely.

- You had this thing with you.

- They came about 'cause of mobile phones, really.

So the technology provides people

with things which weren't there before.

All of the turning is done based off the gyro,

rather than counting pulses off the wheels,

'cause it's much more reliable.

- [Derek] But even with all the mechanical upgrades,

the biggest physical issue for micromice

went unaddressed for decades.

One thing you'll see almost every competitor holding

is a roll of tape.

Once you know to look for it, you'll see it everywhere.

This tape isn't for repairs or reattaching fallen parts.

It's to gather specks of dust off the wheels

in between rounds.

At the speed and precision these robots are operating,

that tiny change in friction is enough to ruin a run.

If you wanna turn while driving fast,

you need centripetal force to accelerate you into the turn.

And the faster you're moving,

the more force you need to keep you on the track.

The only centripetal force for a car turning on flat ground

is friction, which is determined by two things,

the road pushing up the weight of the car,

or the normal force,

multiplied by the static coefficient of friction,

which is the friction of the interface

between the tire and road surface.

This is why racetracks have banked turns.

The steep angles help cars turn with less friction,

because part of the normal force itself now points in

to contribute to the centripetal force required.

If the bank turn is steep enough,

cars can actually make the turn without any friction at all.

The inward component of the normal force alone

is enough to provide the centripetal force

required to stay on track.

Micromice are no different,

and they don't have banked turns to help.

As they got faster and faster, by the early 2000s,

their limiting factor was no longer speed,

but control of that speed.

They had to set their center of gravity low

and slow down during turns

to avoid slipping into a wall or flipping over.

But unlike race cars, there wasn't anything in the rules

to stop Micromouse competitors from solving this problem

by engineering an entirely new mechanism.

Micromouse's second Fosbury flop

was almost considered a gimmick

when the mouse Mokomo08 first used it in competition.

You might be staring at the video to try to see it,

but you won't.

Instead, it's something you'll hear.

That isn't the mouse revving its engines.

It's spinning up a propeller.

And while flying over the walls is against the rules,

there's nothing in the rules against a mouse

vacuuming itself to the ground to prevent slipping.

- Dave Otten was the first person

I saw put a fan on a mouse, but he used a ducted fan,

and I think he was really looking at kind of reaction force,

blowing the thing down.

He had a skirt around, but it was not terribly effective.

He'll forgive for saying so.

The idea is to let as little air in as possible.

And like your vacuum cleaner,

when you block your vacuum cleaner,

the motor unloads and speeds up, and so the current drops.

But if you let too much air in, the current's very high.

And these are just quadcopter motors,

and they draw a lot of current.

- [Derek] At the scale of Micromouse,

a vacuum fan, often just built from handheld drone parts,

is enough to generate a downward force

five times the mouse's weight.

Wow, okay. That's impressive.

So how much does the car actually weigh?

- About 130 grams.

And if you listen,

I dunno if you'll get it on your microphone, but.

- Oh, yeah. - You hear the motors

slow down, loads up.

- [Derek] With that much friction,

micromice today can turn corners

with a centripetal acceleration approaching 6 Gs.

That's the same as F1 cars.

Once nearly everyone equipped fans,

the added control allowed builders

to push the speed limit on micromice.

- When it's allowed to,

it will out accelerate a Tesla Roadster,

but not for very far.

- [Derek] And they can zip along

at up to seven meters per second,

faster than most people can run.

(spectators applauding)

(spectators cheering)

(spectators applauding)

Every one of the features now standard

on the modern micromouse was once an experiment,

and the next Fosbury flop might not be far off.

The first four-wheeled micromouse

to win the all-Japan competition did so in 1988,

but it would take another 22 years

of the winning mouse growing and losing appendages

before four wheeled mice became the norm.

With micromice still experimenting

in six and eight wheeled designs, omnidirectional movement,

and even computer vision,

who knows what the next paradigm shift will be.

- [Announcer] Your time on the maze actually begins

only when you leave the start square.

So he's not penalized for any of this time.

- But if you wanna get started with Micromouse,

you don't need to worry about wheel count,

or vacuum fans, or even diagonals.

- It is to my mind, the perfect combination

of all the major disciplines that you need for robotics,

and engineering, and programming, embedded systems,

all wrapped up in one accessible bundle

that you can do in your living room,

and you don't need a laboratory to run it.

You come along because you're curious.

And then you think, I could do that,

that doesn't look so hard.

And then you're doomed, really.

If it sucks you in, it turns into quite the journey.

(spectators cheering)

(spectators applauding)

- At its core, Micromouse is just about a mouse

trying to solve a maze.

Though nearly 50 years later,

it's a simple problem that's a good reminder,

there is no such thing as a simple problem.

♪ Micromouse for the taking ♪

♪ Micromouse, it's here and now ♪

♪ Take a chance, start creating ♪

♪ Micromouse will show you how ♪

- A humanoid robot

built for all the same tasks a human does

sacrifices specialization in any one skill

in order to be a generalist.

But if it does all tasks semi well

and these tasks are what humans are already doing,

well, then those robots are just overlapping with us,

copying our capacities rather than expanding them.

So robots are perhaps likely to enter our lives

not as multipurpose humanoids,

but rather as precise tools we can pick and choose.

Instead of one Swiss army knife robot,

you'd end up with something like a personalized toolbox

of specialized robots.

Big futuristic questions

like how to bring robots into our daily lives

requires all sorts of practical and creative skills.

But perhaps the most important one

is actually something that anyone can build,

problem solving.

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and now, dive into a surprising trait

we're starting to build into robots.

Elliot's vine robot and jumping robot

are just two cases where the robots

that might save our lives or explore new planets

don't look much like traditional robots at all.

But soft robots in particular are an entire field of study.

So why are so many researchers trying to build

the robots of the future with soft materials?

For one, trading out fragmented metal frames

for single flexible bodies

might be how we make robots more reliable and precise.

These bendy gear boards are so predictable

that they were commissioned by the US government

to secure nuclear weapons,

ensuring that no random motions

could accidentally set them off.

But predictability is just one of eight reasons

that machines that bend are better.

What do this satellite thruster, plastic tool,

and micro mechanical switch have in common?

Well, they all contain components that bend,

so-called compliant mechanisms.

- So it's always been considered to be bad

to have flexibility in your machines.

Well, we've tried to take that thing that everybody hates

and is trying to avoid and say,

how can we use flexibility to our advantage,

how can we use that to do cool stuff?

- [Derek] Now, Professor Howell literally wrote the book

on compliant mechanisms.

- That's the most cited book in--

- [Derek] But he's pretty nonchalant about his work.

Just watch how he introduces this mechanism he developed

to prevent nuclear weapons from going off accidentally.

- Actually the safing and arming of nuclear weapons.

- [Derek] What?

- And so, yeah, if you want.

- [Derek] Hang on, hang on.

Hang on, hang on.

What in nuclear weapons?

- Safing and arming.

- Safing and arming. - Yeah.

So if there's anything in the world

that you want to be safe,

that is not going to accidentally go off.

- I feel like this is, it doesn't even need saying.

But yes, nuclear weapons,

obviously you don't want them to go off.

Well, I don't understand how this

is gonna keep nuclear weapons safe.

Now, I wanna come back to this device

and explain how it works.

Once we understand why compliant mechanisms

are best suited to this task.

That's cool.

So let's start with something basic.

- Probably the first compliant mechanism I ever designed

was this thing.

What it is, is a compliant mechanism that is a gripper.

So you can put something in there

and it'll get actually a really high force.

I can put that in there and it breaks the chalk.

- [Derek] What if you put your finger in there

and squeeze it?

- You would scream in pain.

Would you like to try?

- I would. - Okay.

- [Derek] Like I would actually like to feel the force.

- Okay.

You need to squeeze it yourself though.

- Really?

- Well, all right, I'll squeeze 'til you scream in pain.

- But like don't, don't, don't.

(Derek screaming in pain)

That very quickly got incredibly painful.

It felt like having my finger like in a vice.

- That looks suspiciously like vice grips,

but now with these flexible components where the hinges are.

- Hmm.

What I learned in my visit with Professor Howell

is that compliant mechanisms have a number of advantages

over traditional mechanisms.

But I thought he needed kind of a clever,

pithy way to remember all of these advantages.

So I came up with the eight P's of compliant mechanisms,

and the first of those is part count.

Compliant mechanisms have reduced part count,

because they have these bendy parts

instead of having things like hinges,

and bearings, and separate springs.

This gripper is just a single piece of plastic,

but achieves a similar result

to the much more complicated vice grips.

Like how much does it amplify the force?

- This will get about 30 to 1.

So I could get, for 1 pound force in, get 30 pounds out.

- [Derek] That's pretty good.

It seems like that would be super cheap.

- And really inexpensive.

So this we just made here in our shop,

but you can imagine also injection molding now.

- [Derek] That would cost like cents.

- Yep, this would cost cents.

The other thing is, because of its shape,

you could extrude it and then just chop 'em off.

- Hmm. - And that would be cool.

- So the simple allows different

production processes to be used, which lowers the price.

These switches, for example,