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  • DAVID POGUE: Civilization is built on the human drive to invent.

  • We take the raw stuff of our planet,

  • the materials that give names to the ages--

  • stone, bronze, iron, and more--

  • and craft them into new forms,

  • expanding our horizons...

  • exploring hidden worlds...

  • and engineering life-changing technologies,

  • always pushing the limits

  • to be colder, faster, safer, wilder.

  • And now a new era is upon us,

  • as scientists turn for inspiration

  • to the ultimate inventor and engineer: nature.

  • What can we learn from living things

  • to make our own technology even better?

  • How long before they become self-aware

  • and turn on their overlords?

  • POGUE: I'm David Pogue, and I am on a quest

  • for the world's wildest new stuff.

  • From a carnivorous tropical plant...

  • Whoa-- "Little Shop of Horrors."

  • POGUE: ...to an elephant's trunk...

  • A little elephant snot for you.

  • POGUE: ...there's a revolution underway,

  • as scientists borrow the best ideas nature has to offer...

  • I feel like an outtake from Ghostbusters.

  • POGUE: ...and put them to work,

  • creating a robot as big as an ox...

  • LS3, get up.

  • POGUE: ...and just as sturdy on its feet.

  • The power!

  • POGUE: Even teaching viruses...

  • I got... oh!

  • POGUE: ...to make batteries.

  • Come on!

  • POGUE: Nature has been making stuff

  • for billions of years.

  • What happens when scientists open up its toolbox

  • to make stuff wilder?

  • Major funding for NOVA is provided by the following...

  • We know why we're he

  • We know why we're here...

  • To chart a greener path in the air and in our factories.

  • MAN: To find cleaner,

  • more efficient ways to power flight.

  • And harness our technology for new energy solutions.

  • Around the globe, the people of Boeing are working together

  • to build a better tomorrow.

  • That's why we're here.

  • s.

  • And the Corporation for Public Broadcasting, and:

  • Major funding for "Making Stuff" is provided by:

  • Additional funding is provided by:

  • POGUE: We humans love to invent.

  • We've been doing it for thousands of years.

  • But how many of our inventions really stand the test of time?

  • Now imagine a world filled with only the very best stuff:

  • amazing ideas and astonishing designs,

  • each one the result not just of years, not of decades,

  • but millions of years of research and testing

  • in an environment where the competition can be ruthless.

  • Since life began on Earth, it has been innovating,

  • making discoveries in materials and engineering

  • we've only recently begun to appreciate.

  • The hard-won lessons of life on Earth, gained over eons,

  • may help solve our very human problems.

  • Can forms found in nature reshape our machines,

  • making them more useful?

  • Can we build the agile movements of animals into our robots?

  • Have some of the best ideas for new materials

  • already been discovered by nature?

  • What if we could make things like nature does?

  • Can we grow the electronics and fuels of tomorrow

  • using the code of life itself, DNA?

  • The search for answers to these questions

  • has taken some strange turns.

  • Here at the University of Guelph,

  • about an hour outside Toronto,

  • materials scientist Atsuko Negishi

  • and biologist Julia Herr

  • think that these lovely creatures called hagfish

  • may revolutionize how we make strong materials.

  • JULIA HERR: So these are Pacific hagfish.

  • They are well known for their unique defense mechanism.

  • POGUE: So if I wanted to see this, what would we do?

  • Like, could we poke it with a stick?

  • JULIA: I think the best way to do it

  • is to reach in there and grab one.

  • Oh, my gosh.

  • Look at that disgusting...

  • Oh, no!

  • I've been slimed!

  • I feel like an outtake from Ghostbusters.

  • Look at the quantities of this stuff!

  • This is like three times the volume of the fish.

  • How could all this slime come out of that tiny thing?

  • POGUE: It's an impressive display of slime... ocity,

  • and it works great as a defense.

  • When a gill-breathing predator bites down on a hagfish,

  • it gets a mouth full of slime.

  • With its gills clogged,

  • it becomes more worried about suffocating than eating.

  • So how does the hagfish conjure all that slime?

  • One of the key components is mucin,

  • a family of proteins that includes...

  • (loud sneeze)

  • ...you guessed it: human mucus.

  • Mucin consists of a protein backbone,

  • with lots of sugar side chains hanging off of it,

  • like bristles on a brush.

  • These side chains attract water molecules,

  • soaking them up remarkably well--

  • in fact, amazingly well.

  • Atsuko offers to show me

  • what a little dab of hagfish juice can do.

  • This is a beaker of seawater,

  • so we're going to try to make some slime.

  • It's getting a little misty.

  • I'm just gonna mix it up a little bit.

  • All right.

  • And if you could lift that out.

  • Look at that!

  • Oh my gosh.

  • That tiny dab...

  • Hey, there's no water left!

  • It's taken the entire thing of water with it.

  • That little tiny pea's worth of white stuff...

  • Would anyone like some, children?

  • There's plenty to go around!

  • POGUE: While the mucin sucks up the water,

  • it's a second component that holds the slime together

  • so I can pick it up:

  • these threads, visible here.

  • Both components start out inside pores

  • along the side of the hagfish.

  • The water-loving mucin molecules

  • are packed into one type of specialized cell

  • while the threads are wound tightly in another kind of cell.

  • When under attack,

  • the hagfish ejects the cells and they break open.

  • The mucin molecules collect water molecules

  • while the threads, each about six inches long, unfurl,

  • binding the mucin into a continuous

  • and disgusting mass of slime.

  • It's these spider silk-like threads

  • that have really caught the researchers' attention.

  • They might even serve as a model for a new kind of fiber

  • because they're surprisingly strong--

  • ten times stronger than nylon,

  • a synthetic material made from petroleum.

  • If we could use hagfish fabric instead,

  • it could help reduce our dependence on oil.

  • So what are the steps involved in going from hagfish slime

  • to handsome garments made of it?

  • So the first step would be

  • to be able to artificially make these hagfish slime threads.

  • POGUE: It's early days, but Atsuko has been working on a process

  • to create her own fiber using proteins she's derived

  • from freeze-dried hagfish thread.

  • She mixes the proteins with formic acid

  • and puts a few drops onto a salt solution,

  • then draws up the material

  • to create her own artificial hagfish thread.

  • So far, it doesn't test as strong as the original,

  • but she has high hopes.

  • So you started with hagfish fiber.

  • You treated it to come up with this component goop,

  • put it back into saltwater,

  • turned it back into a piece of thread.

  • So you start with a thread, you ended with thread.

  • Why didn't you just use the thread to begin with?

  • One of the reasons is because we can't farm hagfish.

  • You can't farm hagfish?

  • They don't currently reproduce in captivity,

  • and so we can't have these big farms of hagfish.

  • I see.

  • Plus, it'd be a pain to get up at 4:00 in the morning

  • to go milk the eels.

  • POGUE: So all of this thread pulling is really in anticipation

  • of the day Atsuko can synthesize her own hagfish proteins.

  • There it is!

  • Actual thread made of actual reconstituted fish mucus.

  • The dawn of the era of hagfish fabric,

  • right there.

  • POGUE: Hm...

  • What would that be like?

  • Nighttime is the right time for a fabric from the deep:

  • Hagwear.

  • But it's look, don't touch...

  • (gasps)

  • ...or the surprise will be on you.

  • Hagwear!

  • All right, hagfish fabric may not yet be runway-ready.

  • But in the right hands, nature's innovations offer clues

  • that can literally shape the stuff we make.

  • Built to thrive in their environments,

  • animal bodies offer winning designs and possible solutions

  • to our own engineering challenges.

  • After all, feathered wings inspired our metal ones.

  • Sleek swimmers helped shape our boats.

  • What other new solutions can be found

  • by studying the forms of animals?

  • I'm in Stuttgart, Germany, at the Wilhelma Zoo.

  • It might be the perfect place

  • to see the future shape of technology,

  • according to engineer Heinrich Frontzek.

  • So when an engineer like you comes to the zoo,

  • do you see it differently from regular visitors?

  • I think so,

  • because we want to get inspired by the nature,

  • and here in the zoo, they're so concentrated,

  • the huge variety of animals

  • all optimized for their applications,

  • and we are thinking in applications,

  • so this is a paradise for an engineer.

  • POGUE: Heinrich works for an automation company

  • trying to improve one of the most important inventions

  • of the 20th century: the robotic arm.

  • It's been revolutionizing factories since the first one

  • was introduced in 1961 at General Motors.

  • But robotic arms have some problems.

  • Just like the one on humans, the traditional robot arm

  • consists of rigid parts joined together,

  • often limiting its programmable motion.

  • They're also dangerous.

  • Get hit by one of these, and it's lights out.

  • So robots often end up behind protective fences,

  • unable to work closely with humans.

  • The German automation company Heinrich works for-- Festo--

  • decided to reinvent the robotic arm,

  • making it more flexible and less dangerous.

  • Heinrich leads me to the source of the inspiration,

  • and it turns out maybe the best arm is a nose.

  • So why would you look at an elephant's trunk

  • and think this would help you with automation?

  • As you can see, it's so flexible and transmits a lot of force

  • and makes it much more easier to handle things.

  • And this is our business, handling things.

  • To automate factory or a process,

  • and it make sense to look into nature

  • and to get inspired by nature,

  • and the elephant is an excellent ambassador for that.

  • POGUE: Thanks to Zella, a 47-year-old Asian elephant,

  • I get a little first-hand experience

  • with what an elephant packs in its trunk.

  • Little elephant snot for you.

  • POGUE: An elephant trunk is an impressive multi-tool,

  • able to slurp up water...

  • ZOOKEEPER: Now she collects the water.

  • POGUE: ...and squirt it.

  • Breakfast is on!

  • POGUE: It picks up food like a vacuum cleaner,

  • manipulates objects, and it's strong.

  • Zella can use her trunk to lift over 400 pounds.

  • No, no, that's my wrist.

  • She could crush me like a bug, couldn't she?

  • Yes, sir.

  • Here, have some more peanuts.

  • POGUE: But the trunk's most impressive attribute

  • is its amazing flexibility.

  • It comes from having no bones and about 40,000 muscles

  • arranged lengthwise and in rings.

  • With no bones and no joints,

  • it's about as far away from a traditional robotic arm

  • as you can get.

  • (beeping)

  • I head to Festo's headquarters in nearby Esslingen

  • to see their version of the elephant trunk.

  • They call it a bionic handling assistant.

  • Now, this looks like a bionic handling assistant.

  • Yeah, you're absolutely right.

  • This is our trunk.

  • POGUE: Festo's version of the trunk is made of plastic

  • with a series of air chambers inside.

  • Filling different parts with compressed air

  • causes it to bend.

  • So if I wanted to bend that way?

  • We need a tube with compressed air

  • for this expansion,

  • and then you get this bending to the other end.

  • So this blows up like a balloon?

  • Yes, for sure.

  • POGUE: They're testing the assistant with this simple motion

  • for use in a packaging operation.

  • Look at that, it tucks it in nicely.

  • Well done, Dumbo.

  • POGUE: But it is inherently more flexible

  • than a conventional arm,

  • and just as important, far safer.

  • We don't have electricity,

  • we don't have steel and iron and all this masses,

  • which could damage a person.

  • It's a weight of five pounds,

  • some valves, a little control system...

  • So there's really nothing here but plastic tubes and a.

  • Yeah.

  • Does it do tricks?

  • (laughing)

  • POGUE: In this application,

  • the tip of the trunk works by suction.

  • But Festo has experimented with what it calls a "fin gripper,"

  • inspired by fish fins.

  • If you push on the middle of a tail fin,

  • it doesn't curl away from you as you might expect;

  • it curls toward you,

  • giving a fish much more efficient strokes.

  • But Festo has built that principle into a gripper

  • that curls around the object it needs to pick up,

  • adapting to the shape.

  • So it looks to me like

  • you're about to demonstrate how this might work.

  • FRONTZEK: Yes, we have two different gripping devices:

  • one with a fish tail,

  • and this is a traditional one the robots are using.

  • Can I see these things close?

  • FRONTZEK: Sure.

  • Same pressure, everything is equal.

  • Now we will see what happens.

  • This is the old robot

  • and this is the bio-engineered method.

  • Okay.

  • Let the competition begin.

  • Look at that!

  • Traditional robot hand, shattered to smithereens,

  • and the fishtail gripper really did its job.

  • So you have robot zero, fish tail one.

  • You have stolen from nature and did a great job.

  • Thanks.

  • They'll edit all this out.

  • POGUE: Combining the fin gripper with the elephant trunk

  • produces a flexible, lightweight and safe robotic arm

  • ready for all sorts of applications.

  • FRONTZEK: Biomimicry nowadays,

  • it's part of the design process here at Festo:

  • cross-thinking, getting inspired by nature

  • and to transform these ideas into industrial applications.

  • May I?

  • Thank you.

  • POGUE: Festo's handling assistant

  • steals its form from the elephant trunk.

  • But Festo isn't alone

  • in adapting designs found in nature

  • and applying them to industry.

  • The beak of the kingfisher bird

  • breaks the water with very little resistance...

  • ...inspiring the shape of this Japanese Bullet train

  • so it would cut efficiently through the air.

  • The shape of the yellow boxfish provides a rigid structure

  • and has very little drag for such a large volume,

  • all reasons Mercedes Benz used it

  • for the design of a high- efficiency concept car.

  • But making machines that look like animals is one thing.

  • What about making machines that move like them?

  • For thousands of years,

  • when we've invented new forms of transportation,

  • many have been based on a human insight

  • not found in nature at all: the wheel.

  • But there are plenty of places wheels can't go,

  • even ones wearing a belt of tank tread.

  • The inability of our machines to traverse difficult terrain

  • has dire consequences in the battlefield

  • and in search and rescue.

  • But while wheeled vehicles struggle off road,

  • there are some creatures getting around on legs.

  • That's had engineers wondering:

  • what lessons can we learn from animal movement?

  • Can we give our machines a leg up?

  • Walking is easy for animals.

  • Even a toddler can do it,

  • Excuse me, Sir!

  • POGUE: And thanks to movies,

  • creating walking machines seems easy too.

  • Just look at C3PO from Star Wars...

  • Oh, nice to see a familiar face!

  • E chu ta.

  • How rude!

  • POGUE: ...or its Walkers.

  • You'd think the problem's been solved,

  • but in real life, it's hard.

  • One of the best-known early attempts at a walking machine

  • is General Electric's walking truck from the '60s.

  • It even tackled uneven terrain,

  • but it took a human operator to decide

  • where to place each foot one at a time,

  • an exhausting task.

  • By the '70s, computer control automated the walking motion

  • in a series of crawlers built around the world,

  • though still driven by human operators.

  • These kept a tripod of legs on the ground,

  • maintaining stability at all times:

  • a system called static balance.

  • They moved slowly, like a walking table.

  • But in the 1980s,

  • a very different approach gained ground.

  • I've traveled to Massachusetts

  • to visit a company that builds robots based on that work.

  • The company's founder, Marc Raibert,

  • has been building walking robots for over 30 years.

  • Early on, he steered away from the static balance

  • of walking tables.

  • To help me understand how he views animal locomotion,

  • he invites me to take a ride...

  • ...on a pogo stick.

  • It's tricky because like all standing humans,

  • I am top heavy--

  • in technical terms, an inverted pendulum.

  • Here is a normal pendulum, right?

  • If you swing it, it just hangs down.

  • MBut if you put the weight at the top, what happens?

  • If you don't do anything, it tips over.

  • But if you move the point of support,

  • you can keep it balanced.

  • POGUE: If you're top heavy, staying balanced requires

  • keeping your base of support under your center of gravity.

  • That's what Marc is doing

  • by shifting the bottom of the broom as it tips,

  • that's what I'm doing by moving around the pogo stick,

  • and that's what all of us do all the time when we're upright.

  • In fact, the human brain receives constant updates

  • to maintain the body's balance:

  • from the inner ear, where a series of fluid-filled canals

  • send signals about the position and motion of the head;

  • from the eyes, which send signals

  • about the body's position relative to other objects;

  • from internal sensors that tell us

  • about the position of body parts relative to each other;

  • and from external pressure sensors in the hands and feet

  • that send signals about the source of support--

  • for example, if you're on uneven ground.

  • All of this information feeds into our cerebellums,

  • which keep our top-heavy bodies from tipping over,

  • even when we're just standing around.

  • Without it, you would topple over.

  • To Marc, we are less like a static table

  • and more like a pogo stick.

  • To focus on the problem,

  • he built a robot that had only one springy leg.

  • It constantly calculated

  • where its weight needed to shift to stay upright.

  • Very pogo-stick like.

  • Even when he added more legs,

  • he kept the bounce in their step

  • and an active sense of balance.

  • For the last few years,

  • Marc has been applying what he's learned

  • to solve a problem for the U.S. military.

  • On rough terrain, wheeled vehicles aren't much use.

  • And soldiers often haul everything on their backs,

  • leading to injuries and exhaustion.

  • Marc invites me to see Boston Dynamics' solution

  • out at a nearby park.

  • Meet LS3, also known as AlphaDog.

  • It's designed specifically for rough terrain--

  • anywhere a soldier might go on foot--

  • and it carries 400 pounds of gear

  • along with enough fuel for a 20-mile mission.

  • So in this mode, the robot is following the leader.

  • He's got a backpack on

  • that has some reflective stripes on it,

  • and the vision system focuses on that,

  • and then it records what path he takes through the terrain.

  • POGUE: Is it modeled after a particular animal-- an ox or a horse?

  • RAIBERT: Not really.

  • We take inspiration from how animals are designed,

  • but then we have to use human engineering tools

  • and human materials,

  • so sometimes it stays like the animals,

  • sometimes it departs.

  • POGUE: I ask Marc for a tour of LS3--

  • of course, after it's been shut off.

  • RAIBERT: So this is the leg and it's got a muscle her,

  • or the actuator, which causes it to move.

  • This muscle moves the knee joint.

  • The computer is really the equivalent

  • of a laptop-style computer.

  • So you know, all the balancing is done in that computer,

  • all the speed control, all the turning.

  • There is a laser range finder here

  • that provides 3D-depth information.

  • There is a set of cameras here

  • that look right in front of the robot

  • and provide information about the shape of the terrain

  • so that the feet can pick the best places to step.

  • The legs themselves can feel the forces

  • that are exerted at all the actuators.

  • POGUE: Does it ever slip?

  • What if it steps on an oily leaf or something?

  • RAIBERT: It slips, and frequently, it corrects for those slips.

  • So the goal is to make it so that the feet can slip

  • and the control system recognizes that it's slipping

  • and compensates by using the other legs.

  • POGUE: Lots of cool tech on LS3, but my favorite feature?

  • Voice control.

  • "Power on," "engine off," "sit," "get up,"

  • and "get me a beer."

  • That's a good one, I like that.

  • LS3, get up.

  • The power!

  • LS3, follow tight.

  • What a good boy!

  • LS3, sit.

  • LS3, power off.

  • (engine shuts off)

  • I think you got something here.

  • Nice!

  • POGUE: In a final test of LS3,

  • Marc has it "follow the leader" up a steep incline.

  • Here, you really see it actively balancing while in motion,

  • just like me on the pogo stick

  • instead of moving from one stable position to another

  • like a walking table.

  • RAIBERT: And the idea that you could have it

  • passively stabilized like a table, you know,

  • that doesn't really work with a moving robot.

  • There is too much energy in the motion of the body.

  • I believe that the only way to make these things work

  • is to really commit to the active balance.

  • POGUE: LS3 isn't really built for speed.

  • It trots at about five miles an hour.

  • But what would it take to make it go faster?

  • This is the Cheetah.

  • Just like the real deal,

  • its back flexes with each step,

  • increasing the stride of its gallop.

  • Right now, it's the fastest robot with legs in the world.

  • But start looking over your shoulder

  • for the next generation:

  • Wild Cat.

  • It's designed to be untethered.

  • (sirens)

  • POGUE: Four-legged robots have their uses,

  • but events like the recent Fukushima nuclear disaster

  • have renewed interest in the human form.

  • Radiation kept people at bay,

  • away from all available rescue equipment--

  • from cars, to power tools, to shut-off valves.

  • But imagine if there'd been

  • an easily controlled humanoid robot to operate them.

  • Robotics engineers have been working on that for years.

  • In 2009, Boston Dynamics introduced PETMAN,

  • a robot that balanced itself, walked,

  • and even did some calisthenics.

  • Over the last few years, PETMAN has evolved into...

  • Atlas, which has even more mobility.

  • Just like LS3, it actively balances itself all the time.

  • And in this impressive demo, all by itself, it uses its arms

  • to work its way past a hole in the floor.

  • Today they're tweaking its sense of balance on one foot.

  • Looking at what test to do here, we studied gymnasts.

  • And when they are just about to fall off,

  • you'll notice that they throw their arms and their legs around

  • very violently.

  • So we're trying to understand what techniques they're using

  • to build a robot that can really handle rough terrain.

  • POGUE: They've been doing this test for only a week.

  • First the robot goes up onto one foot.

  • Then they hit it with a 20-pound medicine ball.

  • PLAYTER: So, if you notice there, it's swinging its arms and legs

  • all around in kind of a clockwise fashion

  • and that momentum helps move the center of mass

  • back over the feet.

  • Not dissimilar to a way the gymnasts do it.

  • Whoa...

  • Now let's see some human dynamic balancing.

  • PLAYTER: The robot's blind.

  • It doesn't know the ball is coming.

  • Oh...

  • So, we don't want you to know the ball is coming either.

  • So, we've got a little blinder there for you,

  • so you don't see the ball coming.

  • Oh, great.

  • So I don't know when the ball is coming.

  • I have a feeling

  • if your stinking hunk of silicon and hydraulics

  • can do it, I can of course do it, too.

  • That's right.

  • POGUE: Side by side, it's hard to say who does it better.

  • The Atlas seems more stable.

  • But I have a few other tricks up my sleeve.

  • Very good.

  • I admire your robot, sir.

  • Well, I admire you wearing those glasses on public television.

  • (laughing)

  • POGUE: We'll be seeing more of this guy.

  • Atlas is the hardware

  • used by seven software development teams

  • in an upcoming international rescue-robot competition.

  • But a single sophisticated and expensive robot like Atlas

  • is just one strategy.

  • What about a less expensive and less complex machine,

  • but more of them?

  • That's the idea behind Harvard University's Robobee.

  • It would take 30 of these to equal the weight of a penny.

  • What happens when you move beyond having just one robot

  • and instead have a swarm?

  • In the future, swarms of robots operating as a team

  • might build our skyscrapers or map uncharted areas

  • or scout out victims in disasters

  • as robotic search-and-rescue teams.

  • But in order to do any of that, engineers must solve a problem

  • nature solved eons ago:

  • How do you get a group of individuals

  • to work together as one?

  • In nature, swarms often behave

  • as if they have a collective intelligence.

  • Whether it is fish schooling in the sea

  • or birds flying in a flock, the members act in unison

  • without anyone apparently in charge.

  • Some of the achievements built out of this swarm intelligence

  • are awe-inspiring,

  • like this murmuration by thousands of starlings...

  • or these complicated towers built several feet high

  • by blind termites.

  • So what can we learn from behavior in nature

  • about creating robotic swarms?

  • Vijay Kumar and his students at University of Pennsylvania

  • have been wrestling with the problem.

  • They use a fleet of hand-sized quad-rotor robots

  • which they've learned to manipulate

  • with impressive control.

  • They can play the theme from James Bond...

  • or put on a light show.

  • In both performances,

  • the quad rotors are individually controlled

  • by a central computer.

  • But they've also built some computing power

  • into individual robots, so they can think for themselves..

  • like figuring out how and when to fly through a tossed hoo.

  • Now Vijay is taking the next step, developing software

  • that will allow the 'bots to work together as a swarm,

  • a team that can do more than any single flyer can.

  • One flying 'bot, pretty cool.

  • Eight flying 'bots?

  • It gets a little swarm in here.

  • KUMAR: So what you see here

  • is these robots are commanded to rise into a swarm.

  • They're asked to form patterns, three-dimensional pattern,

  • and then the robots figure out what point in the pattern

  • to step into and how to coordinate with their neighbors.

  • POGUE: Oh, so the master computer doesn't say,

  • "You be in the corner."

  • It's just saying, "Be a rectangle," "Be a circle,"

  • but they have to decide how to execute that?

  • KUMAR: Right.

  • POGUE: While a central computer

  • could control each of the eight robots individually,

  • telling them where to go,

  • Vijay wants a system that scales up.

  • And with more robots, no computer could keep up.

  • So instead,

  • he's taken inspiration from swarms in nature

  • and developed three guiding principles.

  • First, as much as possible, just as in nature,

  • each robot thinks for itself.

  • Second, each robot acts primarily

  • on local information it gathers,

  • the way a bird in a flying flock probably pays attention

  • only to its immediate neighbors to know where to go.

  • Finally, no one robot is in charge.

  • They're all interchangeable.

  • So that if one breaks down, the group continues.

  • To test out those principles,

  • Vijay turns his fleet over to me and lets me experiment.

  • The flyers know they're supposed to make a circle.

  • As I add them one at time, you can see it take shape.

DAVID POGUE: Civilization is built on the human drive to invent.

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HD PBS / NOVA - メイキング・スタッフ・ワイルダー (HD PBS / NOVA - Making Stuff Wilder)

  • 100 9
    kleeff に公開 2021 年 01 月 14 日
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