TED2017
Marc Raibert: Meet Spot, the robot dog that can run, hop and open doors
Marc Raibert: Upoznajte Spota, psa-robota koji može trčati, skakati i otvarati vrata
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Znanstveno-fantastična budućnost u kojoj roboti mogu sve što mogu ljudi i životinje bliža je nego što mislite. Marc Raibert, osnivač Boston Dynamicsa, razvija napredne robote koji mogu trčati poput geparda, hodati kroz 25 cm dubok snijeg, hodati na dvije noge, otvoriti vrata i čak dostavljati pakete. Pridružite se Raibertu pri demonstraciji SpotMinija, okretnog robota koji mapira svijet oko sebe, upravlja predmetima, penje se stubama -- a uskoro bi vam mogao pomagati i u kućanstvu.
Marc Raibert - Roboticist
Marc Raibert is the founder and CEO of robot maker Boston Dynamics. Full bio
Marc Raibert is the founder and CEO of robot maker Boston Dynamics. Full bio
Double-click the English transcript below to play the video.
00:19
(Laughter)
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(Smijeh)
00:24
(Laughter)
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(Smijeh)
00:36
That's SpotMini.
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To je SpotMini.
00:38
He'll be back in a little while.
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Uskoro će nam se opet pridružiti.
00:39
I --
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Ja...
00:40
(Applause)
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(Pljesak)
00:45
I love building robots.
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Volim izrađivati robote.
00:48
And my long-term goal is to build robots
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A moj dugoročni cilj je izraditi robote
00:51
that can do what people and animals do.
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koji mogu sve što mogu ljudi i životinje.
00:54
And there's three things in particular
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A postoje tri stvari
00:57
that we're interested in.
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koje nas najviše zanimaju.
01:00
One is balance and dynamic mobility,
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Prva je ravnoteža i pokretljivost,
01:03
the second one is mobile manipulation,
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druga je upravljanje tom pokretljivošću,
01:06
and the third one is mobile perception.
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a treća je percepcija te pokretljivosti.
01:09
So, dynamic mobility and balance --
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Dakle, pokretljivost i ravnoteža...
01:12
I'm going to do a demo for you.
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Pokazat ću vam.
01:15
I'm standing here, balancing.
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Stojim ovdje,
održavam ravnotežu.
održavam ravnotežu.
01:18
I can see you're not very impressed.
OK, how about now?
OK, how about now?
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Vidim da niste baš impresionirani.
U redu, a sada?
U redu, a sada?
01:21
(Laughter)
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(Smijeh)
01:22
How about now?
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A sada?
01:23
(Applause)
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(Pljesak)
01:26
Those simple capabilities mean that people
can go almost anywhere on earth,
can go almost anywhere on earth,
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Ove jednostavne sposobnosti
omogućavaju ljudima da idu bilo gdje,
omogućavaju ljudima da idu bilo gdje,
01:30
on any kind of terrain.
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bez obzira na vrstu terena.
01:32
We want to capture that for robots.
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Želimo to omogućiti i robotima.
01:35
What about manipulation?
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A upravljanje pokretljivošću?
01:37
I'm holding this clicker in my hand;
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Držim ovaj daljinski u ruci;
01:39
I'm not even looking at it,
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čak ga ni ne gledam,
01:40
and I can manipulate it
without any problem.
without any problem.
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a mogu bez problema upravljati njime.
01:43
But even more important,
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Ali što je još važnije,
01:46
I can move my body while I hold
the manipulator, the clicker,
the manipulator, the clicker,
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mogu pokretati tijelo dok držim daljinski,
01:52
and stabilize and coordinate my body,
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stabilizirati i koordinirati svoje tijelo,
01:54
and I can even walk around.
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čak i hodati okolo.
01:56
And that means
I can move around in the world
I can move around in the world
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To znači da se mogu kretati bilo gdje,
01:59
and expand the range
of my arms and my hands
of my arms and my hands
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širiti raspon svojih ruku
02:02
and really be able to handle
almost anything.
almost anything.
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i stvarno moći upravljati bilo čime.
02:04
So that's mobile manipulation.
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To je upravljanje pokretljivošću.
02:07
And all of you can do this.
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I svi vi to možete.
02:09
Third is perception.
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Treće je percepcija.
02:11
I'm looking at a room
with over 1,000 people in it,
with over 1,000 people in it,
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Gledam sobu u kojoj se
nalazi više od 1000 ljudi
nalazi više od 1000 ljudi
02:14
and my amazing visual system
can see every one of you --
can see every one of you --
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i moj nevjerojatan vizualni sustav
omogućuje mi da vas sve vidim...
omogućuje mi da vas sve vidim...
02:19
you're all stable in space,
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svi stojite na mjestu,
02:21
even when I move my head,
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čak i kad pomaknem glavu,
02:22
even when I move around.
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čak i kad se krećem.
02:24
That kind of mobile perception
is really important for robots
is really important for robots
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Takva percepcija pokretljivosti
veoma je važna za robote
veoma je važna za robote
02:28
that are going to move and act
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koji će se kretati i djelovati
02:29
out in the world.
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vani u svijetu.
02:32
I'm going to give you
a little status report
a little status report
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Ukratko ću vam reći kako napredujemo
02:34
on where we are in developing robots
toward these ends.
toward these ends.
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s razvojem robota i ovih vještina.
02:40
The first three robots are all
dynamically stabilized robots.
dynamically stabilized robots.
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Prva tri robota imaju
mogućnost održavanja ravnoteže.
mogućnost održavanja ravnoteže.
02:45
This one goes back
a little over 10 years ago --
a little over 10 years ago --
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Ovo je bilo prije desetak godina...
02:47
"BigDog."
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"BigDog"
(VelikiPas)
(VelikiPas)
02:48
It's got a gyroscope
that helps stabilize it.
that helps stabilize it.
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Ima žiroskop pomoću
kojeg održava ravnotežu.
kojeg održava ravnotežu.
02:52
It's got sensors and a control computer.
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Ima senzore i računalni nadzor.
02:55
Here's a Cheetah robot
that's running with a galloping gait,
that's running with a galloping gait,
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Ovo je robot Gepard koji galopira,
reciklira svoju energiju,
02:58
where it recycles its energy,
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03:00
it bounces on the ground,
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odskače od zemlje
03:02
and it's computing all the time
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i cijelo vrijeme proračunava
03:03
in order to keep itself
stabilized and propelled.
stabilized and propelled.
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kako bi održao ravnotežu i pokretljivost.
03:08
And here's a bigger robot
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Ovo je veći robot
03:09
that's got such good
locomotion using its legs,
locomotion using its legs,
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čije su noge toliko pokretljive
03:12
that it can go in deep snow.
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da može ići u dubok snijeg.
03:14
This is about 10 inches deep,
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Ovo je nekih 25 cm dubine
03:16
and it doesn't really have any trouble.
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i ne predstavlja mu problem.
03:20
This is Spot, a new generation of robot --
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Ovo je Spot, nova generacija robota,
03:22
just slightly older than the one
that came out onstage.
that came out onstage.
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malo starija od onoga
kojeg ste vidjeli na pozornici.
kojeg ste vidjeli na pozornici.
03:26
And we've been asking the question --
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Postavili smo i jedno pitanje -
03:28
you've all heard about drone delivery:
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svi ste čuli za dostavu dronovima:
03:30
Can we deliver packages
to your houses with drones?
to your houses with drones?
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Možemo li dronovima dostavljati
pakete na kućnu adresu?
pakete na kućnu adresu?
03:32
Well, what about plain old
legged-robot delivery?
legged-robot delivery?
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Ali što je sa dobrom starom
nožnom robotskom dostavom?
nožnom robotskom dostavom?
03:35
(Laughter)
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(Smijeh)
03:36
So we've been taking our robot
to our employees' homes
to our employees' homes
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Dakle, vodili smo robote
u domove naših zaposlenika
u domove naših zaposlenika
03:40
to see whether we could get in --
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da vidimo možemo li ući...
03:41
(Laughter)
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(Smijeh)
03:42
the various access ways.
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na različite načine.
03:44
And believe me, in the Boston area,
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I vjerujte mi, na području Bostona
03:46
there's every manner
of stairway twists and turns.
of stairway twists and turns.
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postoji mnogo stuba i raznih prepreka,
03:49
So it's a real challenge.
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tako da je to
pravi izazov.
pravi izazov.
03:50
But we're doing very well,
about 70 percent of the way.
about 70 percent of the way.
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No 70% vremena nam dobro ide.
03:54
And here's mobile manipulation,
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Ovo je upravljanje
pokretljivošću
pokretljivošću
03:56
where we've put an arm on the robot,
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gdje smo na robota stavili ruku
03:58
and it's finding its way through the door.
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i on pokušava proći kroz vrata.
04:01
Now, one of the important things
about making autonomous robots
about making autonomous robots
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Jedna od važnih stvari
pri izradi samostalnih robota
pri izradi samostalnih robota
04:05
is to make them not do
just exactly what you say,
just exactly what you say,
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je ta da ih naučimo ne samo
izvršavati zapovijedi,
izvršavati zapovijedi,
04:08
but make them deal with the uncertainty
of what happens in the real world.
of what happens in the real world.
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već i da se mogu prilagoditi
nepredviđenim situacijama.
nepredviđenim situacijama.
04:14
So we have Steve there,
one of the engineers,
one of the engineers,
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Ovdje vidimo Stevea, jednog od inženjera
04:17
giving the robot a hard time.
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kako muči robota.
04:18
(Laughter)
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(Smijeh)
04:19
And the fact that the programming
still tolerates all that disturbance --
still tolerates all that disturbance --
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A činjenica je da uz sve te smetnje,
04:24
it does what it's supposed to.
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program i dalje radi što treba.
04:25
Here's another example,
where Eric is tugging on the robot
where Eric is tugging on the robot
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Evo još jednog primjera
gdje Eric vuče robota
gdje Eric vuče robota
04:28
as it goes up the stairs.
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dok se penje uz stepenice.
04:29
And believe me,
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I vjerujte mi,
04:31
getting it to do what it's supposed to do
in those circumstances
in those circumstances
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natjerati ga da učini ono što
treba u tim okolnostima
treba u tim okolnostima
04:34
is a real challenge,
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jako je teško,
04:35
but the result is something
that's going to generalize
that's going to generalize
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ali rezultat će sve robote učiniti
04:38
and make robots much more autonomous
than they would be otherwise.
than they would be otherwise.
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samostalnijima nego što bi inače bili.
04:43
This is Atlas, a humanoid robot.
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Ovo je Atlas, humanoidni robot.
04:46
It's a third-generation humanoid
that we've been building.
that we've been building.
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To je humanoidni robot
treće generacije na kojem radimo.
treće generacije na kojem radimo.
04:50
I'll tell you a little bit
about the hardware design later.
about the hardware design later.
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Kasnije ću vam reći nešto o radu hardvera.
04:53
And we've been saying:
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Pitali smo se
i sljedeće:
i sljedeće:
04:54
How close to human levels
of performance and speed could we get
of performance and speed could we get
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Koliko se možemo
približiti ljudskoj brzini
približiti ljudskoj brzini
04:59
in an ordinary task,
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obavljanja običnih zadataka
05:00
like moving boxes around on a conveyor?
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poput pomicanja kutija na pokretnoj traci?
05:04
We're getting up to about two-thirds
of the speed that a human operates
of the speed that a human operates
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Uspjeli smo postići dvije trećine brzine
05:09
on average.
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kojom ljudi inače rade.
05:10
And this robot is using both hands,
it's using its body,
it's using its body,
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Ovaj robot koristi obje ruke,
koristi svoje tijelo,
koristi svoje tijelo,
05:13
it's stepping,
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hoda
05:15
so it's really an example
of dynamic stability,
of dynamic stability,
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i pravi je primjer ravnoteže,
05:17
mobile manipulation
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upravljanja pokretljivošću
05:19
and mobile perception.
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i percepcije pokretljivosti.
05:22
Here --
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Ovdje...
05:24
(Laughter)
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(Smijeh)
05:26
We actually have two Atlases.
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Zapravo imamo dva Atlasa.
05:28
(Laughter)
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(Smijeh)
05:30
Now, everything doesn't go exactly
the way it's supposed to.
the way it's supposed to.
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Ne ide uvijek sve po planu.
05:33
(Laughter)
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(Smijeh)
05:38
(Laughter)
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(Smijeh)
05:40
(Laughter)
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(Smijeh)
05:45
And here's our latest robot,
called "Handle."
called "Handle."
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Ovo je naš najnoviji robot zvan "Handle".
05:48
Handle is interesting,
because it's sort of half like an animal,
because it's sort of half like an animal,
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Handle je zanimljiv jer je pola životinja,
05:52
and it's half something else
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a pola nešto drugo
05:55
with these leg-like things and wheels.
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s nečime što sliči na noge i kotače.
05:58
It's got its arms on
in kind of a funny way,
in kind of a funny way,
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Ruke su mu smiješno smještene,
06:01
but it really does some remarkable things.
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ali može izvesti nevjerojatne stvari.
06:03
It can carry 100 pounds.
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Može podići 45 kg.
06:06
It's probably going to lift
more than that,
more than that,
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Vjerojatno će moći podići i više od toga,
06:08
but so far we've done 100.
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ali sada smo na 45 kg.
06:10
It's got some pretty good
rough-terrain capability,
rough-terrain capability,
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Može se dosta dobro
kretati po neravnom terenu,
kretati po neravnom terenu,
06:13
even though it has wheels.
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iako ima kotače.
06:18
And Handle loves to put on a show.
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A voli se i praviti važan.
06:20
(Laughter)
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(Smijeh)
06:24
(Applause)
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(Pljesak)
06:30
I'm going to give you
a little bit of robot religion.
a little bit of robot religion.
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Podijelit ću s vama
malo robotske religije.
malo robotske religije.
06:34
A lot of people think that a robot
is a machine where there's a computer
is a machine where there's a computer
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Mnogi misle da je robot
uređaj kojem računalo
uređaj kojem računalo
06:38
that's telling it what to do,
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govori što da radi,
06:41
and the computer is listening
through its sensors.
through its sensors.
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a računalo sluša pomoću senzora.
06:44
But that's really only half of the story.
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No to je samo pola priče.
06:46
The real story is
that the computer is on one side,
that the computer is on one side,
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Računalo je zapravo s jedne strane,
06:50
making suggestions to the robot,
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daje prijedloge robotu,
06:52
and on the other side
are the physics of the world.
are the physics of the world.
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a s druge strane je fizika svijeta.
06:54
And that physics involves gravity,
friction, bouncing into things.
friction, bouncing into things.
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Ta fizika uključuje gravitaciju,
trenje i odbijanje od predmeta.
trenje i odbijanje od predmeta.
07:00
In order to have a successful robot,
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Kako bismo imali uspješnog robota,
07:02
my religion is that you have to do
a holistic design,
a holistic design,
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smatram da morate imati
holistički pristup,
holistički pristup,
07:06
where you're designing the software,
the hardware and the behavior
the hardware and the behavior
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gdje razvijate softver,
hardver i ponašanje,
hardver i ponašanje,
07:10
all at one time,
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sve odjednom,
07:11
and all these parts really intermesh
and cooperate with each other.
and cooperate with each other.
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a svi ti dijelovi se miješaju
i surađuju jedan s drugim.
i surađuju jedan s drugim.
07:15
And when you get the perfect design,
you get a real harmony
you get a real harmony
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Kada postignete savršeni dizajn
postigli ste pravi sklad
postigli ste pravi sklad
07:18
between all those parts
interacting with each other.
interacting with each other.
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među svim tim dijelovima
koji zajedno surađuju.
koji zajedno surađuju.
07:22
So it's half software and half hardware,
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Znači, čini ga pola
softvera, pola hardvera
softvera, pola hardvera
07:24
plus the behavior.
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i ponašanje.
07:26
We've done some work lately
on the hardware, where we tried to go --
on the hardware, where we tried to go --
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Nedavno smo na hardveru pokušali...
07:30
the picture on the left
is a conventional design,
is a conventional design,
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slika lijevo je uobičajeni dizajn,
07:32
where you have parts
that are all bolted together,
that are all bolted together,
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u kojem su svi dijelovi spojeni,
07:35
conductors, tubes, connectors.
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vodiči, cijevi, priključci.
07:38
And on the right
is a more integrated thing;
is a more integrated thing;
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Na desnoj su više uklopljeno;
07:40
it's supposed to look like
an anatomy drawing.
an anatomy drawing.
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trebalo bi izgledati
kao anatomski crtež.
kao anatomski crtež.
07:43
Using the miracle of 3-D printing,
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Koristeći se čudesnom
moći 3-D printanja,
moći 3-D printanja,
07:46
we're starting to build parts of robots
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izrađujemo dijelove robota
07:48
that look a lot more
like the anatomy of an animal.
like the anatomy of an animal.
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koji sve više izgledaju kao
dio životinjske anatomije.
dio životinjske anatomije.
07:51
So that's an upper-leg part
that has hydraulic pathways --
that has hydraulic pathways --
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Dakle, to je gornji dio noge
koji ima hidraulične poveznice --
koji ima hidraulične poveznice --
07:54
actuators, filters --
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pokretače, filtere --
07:56
all embedded, all printed as one piece,
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koji su svi ugrađeni,
svi isprintani kao jedan dio,
svi isprintani kao jedan dio,
07:59
and the whole structure is developed
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a cijela struktura
napravljena je s obzirom
napravljena je s obzirom
08:02
with a knowledge of what the loads
and behavior are going to be,
and behavior are going to be,
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na očekivane terete i ponašanje,
08:05
which is available from data
recorded from robots
recorded from robots
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koje se može predvidjeti
pomoću podataka iz robota,
pomoću podataka iz robota,
08:08
and simulations and things like that.
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simulacija i sličnih stvari.
08:10
So it's a data-driven hardware design.
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Dakle, to je hardver
koji se temelji na podacima.
koji se temelji na podacima.
08:13
And using processes like that,
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Koristeći se tim metodama,
08:15
not only the upper leg
but some other things,
but some other things,
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ne samo kod noge, već i kod drugih stvari,
08:17
we've gotten our robots to go from big,
behemoth, bulky, slow, bad robots --
behemoth, bulky, slow, bad robots --
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naši roboti više nisu veliki,
ogromni, nespretni, spori, zli roboti -
ogromni, nespretni, spori, zli roboti -
08:22
that one on the right,
weighing almost 400 pounds --
weighing almost 400 pounds --
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ovaj desni bio je težak
skoro 180 kg -
skoro 180 kg -
08:26
down to the one in the middle
which was just in the video,
which was just in the video,
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već su poput ovoga u sredini
kojeg smo vidjeli na snimci,
kojeg smo vidjeli na snimci,
08:29
weighs about 190 pounds,
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a teži oko 86 kg,
08:31
just a little bit more than me,
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malo više od mene,
08:32
and we have a new one,
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a imamo i jednog novog,
08:34
which is working but I'm not
going to show it to you yet,
going to show it to you yet,
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koji radi, ali vam ga još neću pokazati,
08:37
on the left,
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nalazi se lijevo,
08:38
which weighs just 165 pounds,
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teži samo 75 kg,
08:40
with all the same
strength and capabilities.
strength and capabilities.
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a jednako je snažan i sposoban.
08:42
So these things are really getting
better very quickly.
better very quickly.
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Znači, sve ovo se
velikom brzinom poboljšava.
velikom brzinom poboljšava.
08:46
So it's time for Spot to come back out,
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Vrijeme je da se Spot vrati
08:49
and we're going to demonstrate
a little bit of mobility,
a little bit of mobility,
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i pokazat ćemo vam malo te pokretljivosti,
08:53
dexterity and perception.
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spretnosti i percepcije.
08:55
This is Seth Davis,
who's my robot wrangler today,
who's my robot wrangler today,
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Ovo je Seth Davis, danas
će biti moj robotski kauboj,
će biti moj robotski kauboj,
08:59
and he's giving Spot
some general direction
some general direction
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daje Spotu neke općenite upute
09:02
by steering it around,
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tako što ga vodi okolo,
09:04
but all the coordination
of the legs and the sensors
of the legs and the sensors
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ali koordinaciju nogu i senzora
09:07
is done by the robot's computers on board.
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obavlja robotovo računalo.
09:10
The robot can walk
with a number of different gaits;
with a number of different gaits;
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Robot može hodati na različite načine;
09:14
it's got a gyro,
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ima klasični žiroskop
09:16
or a solid-state gyro,
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ili poluvodički žiroskop,
09:17
an IMU on board.
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inercijsku mjernu jedinicu.
09:19
Obviously, it's got a battery,
and things like that.
and things like that.
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Naravno, ima bateriju i slične stvari.
09:23
One of the cool things
about a legged robot is,
about a legged robot is,
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Jedna od super stvari
kod hodajućeg robota je ta
kod hodajućeg robota je ta
09:26
it's omnidirectional.
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što ide u svim smjerovima.
09:27
In addition to going forward,
it can go sideways,
it can go sideways,
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Osim naprijed,
može hodati sa strane i
može hodati sa strane i
09:31
it can turn in place.
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može se okretati na mjestu.
09:36
And this robot
is a little bit of a show-off.
is a little bit of a show-off.
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A ovaj se robot voli praviti važan.
09:39
It loves to use its dynamic gaits,
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Voli iskorištavati svoj dinamičan hod,
09:41
like running --
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za, na primjer, trčanje-
09:43
(Laughter)
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(Smijeh)
09:44
And it's got one more.
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Zna još jedan trik.
09:47
(Laughter)
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(Smijeh)
09:50
Now if it were really a show-off,
it would be hopping on one foot,
it would be hopping on one foot,
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No da se stvarno želi praviti važan,
skakao bi na jednoj nozi,
skakao bi na jednoj nozi,
09:53
but, you know.
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ali, znate...
09:54
Now, Spot has a set of cameras
here, stereo cameras,
here, stereo cameras,
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Spot ima i nekoliko
kamera ovdje, stereo kamera
kamera ovdje, stereo kamera
09:58
and we have a feed up in the center.
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i imamo sliku ovdje gore.
10:00
It's kind of dark out in the audience,
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Malo je mračno u publici,
10:02
but it's going to use those cameras
in order to look at the terrain
in order to look at the terrain
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no upotrijebit će kamere
da pregleda teren
da pregleda teren
10:05
right in front of it,
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ispred sebe,
10:07
while it goes over
these obstacles back here.
these obstacles back here.
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dok prelazi preko prepreka ovdje otraga.
10:09
For this demo, Seth is steering,
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Trenutno Seth upravlja,
10:13
but the robot's doing
all its own terrain planning.
all its own terrain planning.
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ali robot sam radi izviđanje terena.
10:15
This is a terrain map,
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Ovo je karta terena,
10:17
where the data from the cameras
is being developed in real time,
is being developed in real time,
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gdje se podaci iz kamera
odmah obrađuju,
odmah obrađuju,
10:22
showing the red spots,
which are where it doesn't want to step,
which are where it doesn't want to step,
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pokazujući crvene točke,
koje označavaju gdje ne želi ići
koje označavaju gdje ne želi ići
10:25
and the green spots are the good places.
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i zelene točke koje
pokazuju dobra mjesta.
pokazuju dobra mjesta.
10:27
And here it's treating
them like stepping-stones.
them like stepping-stones.
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Sada se prema njima ponaša
kao prema stepenicama.
kao prema stepenicama.
10:30
So it's trying to stay up on the blocks,
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Dakle, pokušava ostati na blokovima te
10:32
and it adjusts its stride,
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prilagođava hod,
10:34
and there's a ton of planning
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a takav pothvat
10:35
that has to go into
an operation like that,
an operation like that,
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zahtijeva jako puno planiranja
10:38
and it does all
that planning in real time,
that planning in real time,
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koje se odvija u stvarnom vremenu
10:40
where it adjusts the steps
a little bit longer
a little bit longer
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i gdje on prilagođava duljinu koraka,
10:42
or a little bit shorter.
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duži ili kraći.
10:45
Now we're going to change it
into a different mode,
into a different mode,
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Sada ćemo ga prebaciti
u drugačiji način
u drugačiji način
10:47
where it's just going to treat
the blocks like terrain
the blocks like terrain
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u kojem će blokove vidjeti kao teren
10:51
and decide whether to step up or down
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i odlučiti hoće li
10:55
as it goes.
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se popeti ili sići.
10:57
So this is using dynamic balance
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Ovo je upotreba ravnoteže
11:00
and mobile perception,
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i percepcije pokretljivosti
11:02
because it has to coordinate what it sees
along with how it's moving.
along with how it's moving.
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jer mora uskladiti ono što vidi
i način na koji će se kretati.
i način na koji će se kretati.
11:09
The other thing Spot has is a robot arm.
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Druga stvar koju Spot ima
je robotska ruka.
je robotska ruka.
11:14
Some of you may see that
as a head and a neck,
as a head and a neck,
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Nekima od vas možda
izgleda kao glava i vrat,
izgleda kao glava i vrat,
11:17
but believe me, it's an arm.
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ali vjerujte mi, ruka je.
11:18
Seth is driving it around.
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Seth njome upravlja.
11:20
He's actually driving the hand
and the body is following.
and the body is following.
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Zapravo pokreće ruku,
a tijelo je slijedi.
a tijelo je slijedi.
11:24
So the two are coordinated
in the way I was talking about before --
in the way I was talking about before --
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Dakle, tijelo i ruka usklađeni
su onako kako sam prije opisao --
su onako kako sam prije opisao --
11:28
in the way people can do that.
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isto kao i kod ljudi.
11:30
In fact, one of the cool things
Spot can do we call, "chicken-head mode,"
Spot can do we call, "chicken-head mode,"
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Zapravo, jednu super stvar koju Spot
može izvesti zovemo "pileća glava",
može izvesti zovemo "pileća glava",
11:34
and it keeps its head
in one place in space,
in one place in space,
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gdje drži glavu na mjestu,
11:38
and it moves its body all around.
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a tijelo pokreće u svim smjerovima.
11:40
There's a variation of this
that's called "twerking" --
that's called "twerking" --
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Jedna varijacija ovoga
se zove "twerking" -
se zove "twerking" -
11:43
(Laughter)
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(Smijeh)
11:44
but we're not going to use that today.
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ali nećemo to probati.
11:46
(Laughter)
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(Smijeh)
11:47
So, Spot: I'm feeling a little thirsty.
Could you get me a soda?
Could you get me a soda?
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Spot, malo sam žedan.
Možeš mi donijeti sok?
Možeš mi donijeti sok?
11:51
For this demo,
Seth is not doing any driving.
Seth is not doing any driving.
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Sada Seth uopće ne upravlja.
11:55
We have a LIDAR on the back of the robot,
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Na stražnjem dijelu
robota je optički radar
robota je optički radar
11:57
and it's using these props
we've put on the stage
we've put on the stage
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i on koristi rekvizite koje smo
stavili na pozornicu
stavili na pozornicu
11:59
to localize itself.
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kako bi se orijentirao.
12:01
It's gone over to that location.
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Došao je do drugog mjesta.
12:03
Now it's using a camera that's in its hand
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Sada koristi kameru u ruci
12:06
to find the cup,
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da pronađe čašu,
12:09
picks it up --
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uzme je --
12:10
and again, Seth's not driving.
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ponavljam, Seth ne upravlja.
12:13
We've planned out a path for it to go --
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Napravili smo mu put kojim treba ići -
12:16
it looked like it was
going off the path --
going off the path --
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činilo se kao da će skrenuti s puta -
12:18
and now Seth's going
to take over control again,
to take over control again,
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i sada Seth ponovno preuzima kontrolu
12:21
because I'm a little bit chicken
about having it do this by itself.
about having it do this by itself.
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jer se malo bojim da on to sam napravi.
12:24
Thank you, Spot.
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Hvala ti, Spot.
12:28
(Applause)
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(Pljesak)
12:35
So, Spot:
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Dakle, Spot:
12:36
How do you feel about having just finished
your TED performance?
your TED performance?
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kako se osjećaš na kraju
svoje TED predstave?
svoje TED predstave?
12:41
(Laughter)
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(Smijeh)
12:44
Me, too!
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I ja isto!
12:45
(Laughter)
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(Smijeh)
12:46
Thank you all,
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Hvala svima
12:48
and thanks to the team at Boston Dynamics,
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i hvala timu iz Boston Dynamicsa
12:50
who did all the hard work behind this.
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koji su napravili najteži dio posla ovdje.
12:52
(Applause)
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(Pljesak)
13:03
Helen Walters: Marc,
come back in the middle.
come back in the middle.
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Helen Walters: Marc, vrati se u sredinu.
13:05
Thank you so much.
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Hvala ti lijepa.
13:06
Come over here, I have questions.
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Dođi ovdje, imam nekoliko pitanja.
13:08
So, you mentioned the UPS
and the package delivery.
and the package delivery.
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Spomenuo si besprekidno napajanje
i dostavu paketa.
i dostavu paketa.
13:12
What are the other applications
that you see for your robots?
that you see for your robots?
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Čemu bi još roboti mogli služiti?
13:16
Marc Raibert: You know,
I think that robots
I think that robots
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Marc Raibert: Znate, mislim da će roboti
13:18
that have the capabilities
I've been talking about
I've been talking about
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koji mogu raditi onoo čemu sam govorio
13:20
are going to be incredibly useful.
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biti veoma korisni.
13:22
About a year ago, I went to Fukushima
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Prije godinu dana posjetio sam Fukushimu
13:24
to see what the situation was there,
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da vidim kakva je tamo situacija
13:26
and there's just a huge need
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i tamo su stvarno potrebni
13:28
for machines that can go
into some of the dirty places
into some of the dirty places
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strojevi koji mogu ići na prljava mjesta
13:32
and help remediate that.
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i pomoći da se to popravi.
13:34
I think it won't be too long until
we have robots like this in our homes,
we have robots like this in our homes,
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Mislim da ćemo vrlo uskoro
takve robote imati u svojim domovima
takve robote imati u svojim domovima
13:39
and one of the big needs
is to take care of the aging
is to take care of the aging
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koji će se moći brinuti o starijima
13:44
and invalids.
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i invalidima.
13:46
I think that it won't be too long
till we're using robots
till we're using robots
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Mislim da ćemo vrlo brzo koristiti robote
13:50
to help take care of our parents,
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kako bismo pomogli svojim roditeljima ili,
13:52
or probably more likely,
have our children help take care of us.
have our children help take care of us.
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što je vjerojatnije, kako bi naša
djeca pomogla nama.
djeca pomogla nama.
13:57
And there's a bunch of other things.
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Postoji tu još mnogo mogućnosti.
13:59
I think the sky's the limit.
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Samo nebo je granica.
14:01
Many of the ideas
we haven't thought of yet,
we haven't thought of yet,
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Mnogo toga se još nismo ni dosjetili,
14:03
and people like you will help us
think of new applications.
think of new applications.
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a ljudi poput vas pomoći će nam u tome.
14:06
HW: So what about the dark side?
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HW: A što je s lošom stranom?
14:08
What about the military?
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Što je s vojskom?
14:10
Are they interested?
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Jesu li oni zainteresirani?
14:12
MR: Sure, the military has been
a big funder of robotics.
a big funder of robotics.
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MR: Naravno, vojska
naveliko financira robotiku.
naveliko financira robotiku.
14:16
I don't think the military
is the dark side myself,
is the dark side myself,
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Mislim da vojna upotreba
nije loša strana, ali
nije loša strana, ali
14:20
but I think, as with all
advanced technology,
advanced technology,
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mislim da se, kao i ostala
napredna tehnologija,
napredna tehnologija,
14:24
it can be used for all kinds of things.
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može koristiti na različite načine.
14:26
HW: Awesome. Thank you so much.
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HW: Odlično. Puno ti hvala.
14:28
MR: OK, you're welcome.
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MR: Nema na čemu.
14:29
Thank you.
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Hvala vama.
14:30
(Applause)
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(Pljesak)
ABOUT THE SPEAKER
Marc Raibert - RoboticistMarc Raibert is the founder and CEO of robot maker Boston Dynamics.
Why you should listen
Working with his team at Boston Dynamics, Marc Raibert builds some of the world's most advanced robots, such as BigDog, Atlas, Spot and Handle. These robots are inspired by the remarkable ability of animals to move with agility, dexterity, perception and intelligence. A key ingredient of these robots is their dynamic behavior, which contributes to their lifelike qualities and their effectiveness in the real world.
Raibert founded Boston Dynamics as a spinoff from MIT, where he ran the Leg Laboratory, which helped establish the scientific basis for highly dynamic robots. He was a professor of EE&CS at MIT and before that associate professor of CS & Robotics at Carnegie Mellon University. Raibert is a member of the National Academy of Engineering.
Marc Raibert | Speaker | TED.com