Ken Goldberg: 4 lessons from robots about being human

14,456 views ・ 2015-07-15

TED


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00:00
Translator: Morton Bast Reviewer: Thu-Huong Ha
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Prevoditelj: Kristina Loncar Recezent: Katarina Smetko
00:12
I know this is going to sound strange,
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Znam da će ovo zvučati čudno,
00:15
but I think robots can inspire us to be better humans.
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ali mislim da nas roboti mogu nadahnuti
da postanemo bolji ljudi.
Vidite, odrastao sam u Bethlehemu, u Pennsylvaniji,
00:21
See, I grew up in Bethlehem, Pennsylvania,
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00:24
the home of Bethlehem Steel.
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domu tvrtke Bethlehem Steel.
00:26
My father was an engineer,
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Moj otac je bio inženjer
i dok sam odrastao, učio me
00:29
and when I was growing up, he would teach me how things worked.
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kako stvari rade.
Radili smo na zajedničkim projektima,
00:33
We would build projects together,
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00:35
like model rockets and slot cars.
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poput modela raketa i autića za utrkivanje.
00:38
Here's the go-kart that we built together.
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Ovo je go-kart koji smo zajedno izradili.
To sam ja za volanom,
00:42
That's me behind the wheel,
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00:43
with my sister and my best friend at the time.
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sa svojom sestrom i tadašnjim najboljim prijateljem.
00:47
And one day,
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Jednog dana,
00:49
he came home, when I was about 10 years old,
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otac je došao kući, kad sam imao 10-ak godina,
00:52
and at the dinner table, he announced
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i za večerom objavio
00:55
that for our next project, we were going to build ...
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da ćemo za sljedeći projekt izgraditi robota.
00:59
a robot.
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01:01
A robot.
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Robota.
Naravno da sam bio ushićen zbog toga
01:03
Now, I was thrilled about this,
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01:05
because at school, there was a bully named Kevin,
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jer je u školi bio
nasilnik imenom Kevin,
koji me maltretirao
01:09
and he was picking on me,
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01:10
because I was the only Jewish kid in class.
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jer sam bio jedini Židov u razredu.
01:13
So I couldn't wait to get started to work on this,
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Jedva sam čekao da počnemo raditi na tome
01:16
so I could introduce Kevin to my robot.
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kako bih mogao upoznati Kevina sa svojim robotom. (Smijeh)
01:18
(Laughter)
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01:19
(Robot noises)
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(Zvuci robota)
01:29
(Laughter)
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01:30
But that wasn't the kind of robot my dad had in mind.
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No, moj otac nije na umu imao takvog robota.
01:34
(Laughter)
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01:35
See, he owned a chromium-plating company,
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On je imao tvrtku za kromirane oplate,
01:39
and they had to move heavy steel parts between tanks of chemicals.
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u kojoj su morali micati
teške čelične dijelove između spremnika s kemikalijama,
i trebao je ovakvog industrijskog robota
01:45
And so he needed an industrial robot like this,
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01:48
that could basically do the heavy lifting.
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koji bi uglavnom mogao dizati te teške stvari.
01:51
But my dad didn't get the kind of robot he wanted, either.
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No, ni tata nije dobio robota kakvog je htio.
01:55
He and I worked on it for several years,
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On i ja radili smo na njemu nekoliko godina,
01:58
but it was the 1970s, and the technology that was available to amateurs
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ali to su bile 1970-e
i tehnologija koja bi bila dostupna amaterima
jednostavno nije postojala.
02:03
just wasn't there yet.
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02:05
So Dad continued to do this kind of work by hand.
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Tata je nastavio raditi takve poslove ručno
02:09
And a few years later,
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i par godina kasnije
02:11
he was diagnosed with cancer.
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dijagnosticirali su mu rak.
02:15
You see,
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Robot kojeg smo pokušavali napraviti
02:17
what the robot we were trying to build was telling him
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nije mu pomagao pri dizanju teških stvari,
02:20
was not about doing the heavy lifting.
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02:22
It was a warning
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već ga je upozoravao na izloženost otrovnim kemikalijama.
02:23
about his exposure to the toxic chemicals.
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On to tada nije prepoznao
02:27
He didn't recognize that at the time,
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02:29
and he contracted leukemia.
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i dobio je leukemiju
02:31
And he died at the age of 45.
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i umro u 45. godini života.
To me shrvalo,
02:35
I was devastated by this.
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02:37
And I never forgot the robot that he and I tried to build.
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ali nikad nisam zaboravio robota kojeg smo pokušali izraditi.
02:42
When I was at college, I decided to study engineering, like him.
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Odlučio sam studirati inženjerstvo, poput oca.
Studirao sam na sveučilištu Carnegie Mellon i doktrorirao robotiku.
02:47
And I went to Carnegie Mellon, and I earned my PhD in robotics.
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02:51
I've been studying robots ever since.
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Od tada proučavam robote.
02:54
So what I'd like to tell you about are four robot projects,
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Htio bih vam, dakle, govoriti
o četiri projekta s robotima
i o tome kako su me oni nadahnuli da postanem bolji čovjek.
02:59
and how they've inspired me to be a better human.
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03:06
By 1993, I was a young professor at USC,
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1993. godine bio sam mladi profesor na USC-u,
03:11
and I was just building up my own robotics lab,
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osnivao sam vlastiti laboratorij za robotiku
03:14
and this was the year the World Wide Web came out.
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a te se godine pojavio i World Wide Web.
03:18
And I remember my students were the ones who told me about it,
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Sjećam se da su mi moji studenti
rekli za to
03:21
and we would -- we were just amazed.
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i bili smo -- bili smo zapanjeni.
03:23
We started playing with this, and that afternoon,
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Počeli smo se igrati time i tog smo poslijepodneva
03:27
we realized that we could use this new, universal interface
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shvatili da preko tog novog, univerzalnog sučelja
03:31
to allow anyone in the world to operate the robot in our lab.
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možemo bilo kome u svijetu omogućiti
da upravlja robotom u našem laboratoriju.
Umjesto da se bori ili radi industrijske poslove,
03:37
So, rather than have it fight or do industrial work,
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03:42
we decided to build a planter,
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odlučili smo izraditi sadilicu,
03:44
put the robot into the center of it,
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i staviti robota u središte.
03:46
and we called it the Telegarden.
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To smo nazvali Telegarden.
03:49
And we had put a camera in the gripper of the hand of the robot,
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Stavili smo kamere na hvataljke ruke robota
i napisali posebne upute i softver
03:54
and we wrote some special scripts and software,
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kako bi bilo tko u svijetu mogao doći
03:57
so that anyone in the world could come in,
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i klikanjem po ekranu
03:59
and by clicking on the screen,
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04:01
they could move the robot around and visit the garden.
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micati robota uokolo
te posjetiti vrt.
04:05
But we also set up some other software
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Također smo nadogradili drugim softverom
04:09
that lets you participate and help us water the garden, remotely.
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koji vam omogućava da sudjelujete i pomognete nam u zalijevanju vrta
daljinskim upravljanjem. Kad ga zalijete nekoliko puta,
04:13
And if you watered it a few times,
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04:15
we'd give you your own seed to plant.
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dali bismo vam vlastito sjeme koje možete zasaditi.
04:19
Now, this was an engineering project,
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To je bio inženjerski projekt
04:22
and we published some papers on the system design of it,
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pa smo objavili nekoliko radova o oblikovanju,
o oblikovanju sustava, ali smo ga smatrali
04:26
but we also thought of it as an art installation.
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i umjetničkom instalacijom.
04:30
It was invited, after the first year,
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Nakon prve godine pozvao nas je
04:32
by the Ars Electronica Museum in Austria,
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muzej Ars Electronica iz Austrije
04:35
to have it installed in their lobby.
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da ga postavimo u njihovo predvorje.
Sretan sam što mogu reći da je ondje bio online
04:39
And I'm happy to say, it remained online there, 24 hours a day,
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24 sata na dan gotovo devet godina.
04:43
for almost nine years.
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04:46
That robot was operated by more people
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Tim je robotom upravljalo više ljudi
04:50
than any other robot in history.
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nego ikojim drugim robotom u povijesti.
04:53
Now, one day,
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Jednog dana,
04:54
I got a call out of the blue from a student,
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dobio sam neočekivan poziv
od jednog studenta
04:59
who asked a very simple but profound question.
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koji me pitao vrlo jednostavno, ali duboko pitanje.
Rekao je: "Postoji li stvarno taj robot?"
05:04
He said, "Is the robot real?"
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05:08
Now, everyone else had assumed it was,
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Svi drugi pretpostavljali su da postoji,
05:10
and we knew it was, because we were working with it.
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a mi smo to znali jer smo na njemu radili.
05:13
But I knew what he meant,
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No, znao sam na što je mislio
05:14
because it would be possible
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jer bilo bi moguće uzeti mnoštvo slika cvjetova iz vrta
05:16
to take a bunch of pictures of flowers in a garden
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i onda ih samo ubaciti
05:19
and then, basically, index them in a computer system,
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u računalni sustav kako bi izgledalo
05:22
such that it would appear that there was a real robot,
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kao da postoji robot, a zapravo ga nema.
05:25
when there wasn't.
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05:27
And the more I thought about it,
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Što sam više razmišljao o tome, nisam mogao smisliti
05:28
I couldn't think of a good answer for how he could tell the difference.
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dobar odgovor kako vidjeti razliku.
To se dogodilo otprilike u vrijeme kad mi je bilo ponuđen posao
05:32
This was right about the time that I was offered a position
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ovdje u Berkeleyju.
05:35
here at Berkeley.
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05:36
And when I got here,
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Kad sam stigao ovamo, potražio sam Huberta Dreyfusa,
05:38
I looked up Hubert Dreyfus,
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05:40
who's a world-renowned professor of philosophy,
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svjetski poznatog profesora filozofije.
05:44
And I talked with him about this and he said,
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Razgovarao sam s njime o tome i rekao je:
"To je jedan od najstarijih i najvećih problema
05:47
"This is one of the oldest and most central problems in philosophy.
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u filozofiji. Postoji još od Skeptika,
05:51
It goes back to the Skeptics and up through Descartes.
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pa sve do Descartesa.
05:55
It's the issue of epistemology,
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To je problem epistemologije,
05:58
the study of how do we know that something is true."
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proučavanja toga kako znamo da je nešto istina."
06:02
So he and I started working together,
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Tako smo počeli raditi zajedno
06:04
and we coined a new term: "telepistemology,"
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i skovali smo novi termin: telepistemologiju,
proučavanje znanja na daljinu.
06:08
the study of knowledge at a distance.
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06:11
We invited leading artists, engineers and philosophers
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Pozvali smo vodeće umjetnike, inženjere i filozofe
da napišu eseje o tome,
06:15
to write essays about this,
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06:17
and the results are collected in this book from MIT Press.
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a rezultati su skupljeni u ovoj knjizi
u izdanju MIT Pressa.
06:21
So thanks to this student,
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Zahvaljujući tom studentu koji je posumnjao
06:24
who questioned what everyone else had assumed to be true,
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u ono za što su svi drugi pretpostavili da je istina,
06:27
this project taught me an important lesson about life,
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taj me projekt naučio važnu lekciju o životu,
06:31
which is to always question assumptions.
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a to je da uvijek treba preispitivati pretpostavke.
06:35
Now, the second project I'll tell you about
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Drugi projekt o kojem ću vam govoriti
06:38
grew out of the Telegarden.
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proizašao je iz Telegardena.
06:40
As it was operating, my students and I were very interested
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Dok je radio, moje studente i mene zanimalo je
06:42
in how people were interacting with each other,
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u kakvoj su ljudi bili interakciji jedni s drugima
06:45
and what they were doing with the garden.
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i što su radili s vrtom.
Počeli smo razmišljati što bi bilo kad bi robot mogao izići iz vrta
06:47
So we started thinking:
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06:48
what if the robot could leave the garden
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i otići u neko drugo
06:50
and go out into some other interesting environment?
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zanimljivo okruženje?
06:53
Like, for example, what if it could go to a dinner party
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Na primjer, što kad bi mogao otići na večeru
u Bijelu kuću? (Smijeh)
06:56
at the White House?
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06:57
(Laughter)
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07:00
So, because we were interested more in the system design
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Budući da su nas oblikovanje sustava
07:03
and the user interface than in the hardware,
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i korisničko sučelje zanimali više nego hardver,
07:06
we decided that,
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odlučili smo,
07:08
rather than have a robot replace the human to go to the party,
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umjesto da robot zamijeni čovjeka na večeri,
07:12
we'd have a human replace the robot.
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imati čovjeka da zamijeni robota.
07:15
We called it the Tele-Actor.
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Nazvali smo ga Tele-Actor.
07:17
We got a human,
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Uzeli smo čovjeka,
07:20
someone who's very outgoing and gregarious,
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nekoga tko je vrlo otvoren i društven.
07:23
and she was outfitted with a helmet with various equipment,
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Bila je opremljena kacigom
s raznom opremom, kamerama i mikrofonima,
07:27
cameras and microphones,
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07:28
and then a backpack with wireless Internet connection.
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te ruksakom s bežičnim pristupom Internetu.
07:32
And the idea was that she could go
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Ideja je bila da bi mogla otići u udaljenu,
07:35
into a remote and interesting environment,
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zanimljivu okolinu, a ljudi bi, preko Interneta,
07:37
and then over the Internet,
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07:39
people could experience what she was experiencing.
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mogli doživjeti isto što i ona,
07:42
So they could see what she was seeing,
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mogli bi vidjeti što ona vidi.
07:45
but then, more importantly, they could participate,
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Što je još važnije, mogli bi sudjelovati
07:49
by interacting with each other and coming up with ideas
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međusobnom interakcijom
i davanjem ideja što bi sljedeće mogla učiniti
07:53
about what she should do next and where she should go,
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i kamo da ide
07:57
and then conveying those to the Tele-Actor.
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te bi to prenijeli Tele-Actoru.
08:01
So we got a chance to take the Tele-Actor
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Dobili smo priliku da predstavimo Tele-Actora
08:03
to the Webby Awards in San Francisco.
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na Webby Awards u San Franciscu.
08:07
And that year, Sam Donaldson was the host.
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Te je godine domaćin bio Sam Donaldson.
Malo prije no što se digao zastor, imao sam oko 30 sekundi
08:12
Just before the curtain went up, I had about 30 seconds
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da objasnim g. Donaldsonu što ćemo učiniti.
08:15
to explain to Mr. Donaldson what we were going to do.
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Rekao sam:
08:20
And I said, "The Tele-Actor is going to be joining you onstage.
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"Tele-Actor će biti s vama na pozornici.
08:23
This is a new experimental project,
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To je novi pokusni projekt,
ljudi je gledaju na svojim ekranima.
08:26
and people are watching her on their screens,
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08:28
there's cameras involved and there's microphones
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Ima -- tu su kamere i mikrofoni,
a ima i bubu u uhu.
08:31
and she's got an earbud in her ear,
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08:33
and people over the network are giving her advice
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Ljudi u mreži daju joj savjete
što da sljedeće napravi."
08:36
about what to do next."
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On je rekao: "Čekaj malo,
08:37
And he said, "Wait a second.
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08:39
That's what I do."
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to je moj posao." (Smijeh)
08:41
(Laughter)
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08:46
So he loved the concept,
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Svidjela mu se ideja,
08:47
and when the Tele-Actor walked onstage, she walked right up to him,
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i kad je Tele-Actor stupio na pozornicu,
otišla je do njega i dala mu velik poljubac
08:52
and she gave him a big kiss right on the lips.
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ravno u usta. (Smijeh)
08:54
(Laughter)
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08:56
We were totally surprised -- we had no idea that would happen.
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Bili smo potpuno iznenađeni.
Nismo imali pojma da će se to dogoditi.
08:59
And he was great, he just gave her a big hug in return,
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Bio je odličan. Uzvratio joj je velikim zagrljajem
09:02
and it worked out great.
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i ispalo je sjajno.
09:03
But that night, as we were packing up,
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No, te noći, dok smo se pakirali,
09:05
I asked the Tele-Actor, how did the Tele-Directors decide
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pitao sam Tele-Actora kako su Tele-Direktori odlučili
dati poljubac Samu Donaldsonu?
09:10
that they would give a kiss to Sam Donaldson?
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09:15
And she said they hadn't.
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Rekla je da nisu to odlučili.
09:17
She said, when she was just about to walk onstage,
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Rekla je da, baš kad je trebala stupiti na pozornicu,
09:19
the Tele-Directors still were trying to agree on what to do,
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Tele-Direktori su se još pokušavali dogovoriti što da učine,
09:22
and so she just walked onstage and did what felt most natural.
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pa je tako samo ušla na pozornicu
i učinila ono što joj je bilo najprirodnije. (Smijeh)
09:26
(Laughter)
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09:30
So, the success of the Tele-Actor that night
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Dakle, za uspjeh Tele-Actora te noći
09:33
was due to the fact that she was a wonderful actor.
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zaslužno je to što je ona odlična glumica.
09:37
She knew when to trust her instincts.
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Znala je kada treba vjerovati instinktima.
09:40
And so that project taught me another lesson about life,
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Tako me taj projekt naučio još jednu lekciju o životu:
09:44
which is that, when in doubt, improvise.
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kad ne znaš što bi, improviziraj. (Smijeh)
09:48
(Laughter)
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09:50
Now, the third project grew out of my experience
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Treći projekt proizašao je
iz mog iskustva kad mi je otac bio u bolnici.
09:55
when my father was in the hospital.
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Bio je na liječenju,
09:59
He was undergoing a treatment -- chemotherapy treatments --
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na kemoterapiji, a postoji i slična terapija,
10:02
and there's a related treatment called brachytherapy,
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brahiterapija, u kojoj se sitne radioaktivne čestice
10:06
where tiny, radioactive seeds are placed into the body
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stavljaju u tijelo kako bi izliječile kancerogene tumore.
10:10
to treat cancerous tumors.
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10:13
And the way it's done, as you can see here,
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To se izvodi, kao što vidite ovdje,
10:15
is that surgeons insert needles into the body
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tako da doktori ubadaju igle po tijelu
10:20
to deliver the seeds.
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kako bi doveli čestice i sve to,
10:21
And all these needles are inserted in parallel.
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sve te igle postavljene su paralelno
10:26
So it's very common that some of the needles penetrate sensitive organs.
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pa vrlo često neke od igala
probiju osjetljive organe
10:32
And as a result, the needles damage these organs, cause damage,
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i tako oštećuju organe i prouzročuju štetu
10:39
which leads to trauma and side effects.
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koja dovodi do traume i nuspojava.
10:42
So my students and I wondered:
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Tako smo se moji studenti i ja pitali, što kad bismo mogli
10:44
what if we could modify the system,
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promijeniti sustav
10:48
so that the needles could come in at different angles?
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tako da igle mogu ulaziti pod različitim kutovima?
10:52
So we simulated this;
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Simulirali smo to i razvili
10:54
we developed some optimization algorithms and we simulated this.
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nekoliko optimizacijskih algoritama
10:57
And we were able to show
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te smo uspjeli pokazati da možemo izbjeći
10:58
that we are able to avoid the delicate organs,
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osjetljive organe, a ipak postići
11:01
and yet still achieve the coverage of the tumors with the radiation.
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pokrivenost tumora radijacijom.
11:07
So now, we're working with doctors at UCSF
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Trenutno radimo s liječnicima na UCSF-u
11:10
and engineers at Johns Hopkins,
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i inženjerima iz Johns Hopkinsa
11:13
and we're building a robot that has a number of --
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i gradimo robota koji ima brojne --
11:17
it's a specialized design with different joints
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specijaliziranog je dizajna, sa zglobovima koji omogućuju
11:19
that can allow the needles to come in at an infinite variety of angles.
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da igle budu ubodene pod beskrajno mnogo kutova.
11:24
And as you can see here, they can avoid delicate organs
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Kao što možete ovdje vidjeti, izbjeći će osjetljive organe,
a opet doseći ciljana mjesta.
11:28
and still reach the targets they're aiming for.
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Preispitivanjem pretpostavke da igle
11:32
So, by questioning this assumption that all the needles have to be parallel,
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moraju biti postavljene paralelno, taj me projekt naučio
11:37
this project also taught me an important lesson:
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važnu lekciju: Kad ne znaš što bi --
11:40
When in doubt, when your path is blocked, pivot.
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Kada ti je put zakrčen, zakreni se.
11:45
And the last project also has to do with medical robotics.
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Zadnji projekt također ima veze s medicinskom robotikom.
11:50
And this is something that's grown out of a system
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Ovo je proizašlo iz sustava
11:53
called the da Vinci surgical robot.
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koji se zove da Vincijev kirurški robot,
11:57
And this is a commercially available device.
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koji je komercijalno dostupan uređaj.
12:00
It's being used in over 2,000 hospitals around the world.
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Koristi ga više od 2000 bolnica diljem svijeta,
a omogućuje kirurgu
12:04
The idea is it allows the surgeon to operate comfortably
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da udobno djeluje u svojem vlastitom koordinatnom okviru.
12:08
in his own coordinate frame.
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No, mnogi podzadaci u kirurgiji
12:12
Many of the subtasks in surgery are very routine and tedious, like suturing,
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vrlo su rutinski i dosadni, poput šivanja,
12:18
and currently, all of these are performed
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i trenutno se svi provode
12:20
under the specific and immediate control of the surgeon.
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pod posebnom i neposrednom kontrolom kirurga
12:25
So the surgeon becomes fatigued over time.
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pa se kirurg s vremenom umara.
Razmišljali smo,
12:28
And we've been wondering,
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12:29
what if we could program the robot to perform some of these subtasks,
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što kad bismo mogli programirati robota
da obavlja neke od tih podzadataka
12:33
and thereby free the surgeon
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kako bi se kirurzi mogli slobodno koncentrirati
12:35
to focus on the more complicated parts of the surgery,
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na kompliciranije dijelove operacije?
12:38
and also cut down on the time that the surgery would take
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I bi li operacije mogle biti kraće
12:41
if we could get the robot to do them a little bit faster?
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kad bi robot te zadatke mogao obavljati malo brže?
12:44
Now, it's hard to program a robot to do delicate things like this.
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Teško je programirati robota da radi takve osjetljive stvari,
ali doznao sam da je moj kolega Pieter Abbeel,
12:48
But it turns out my colleague Pieter Abbeel, who's here at Berkeley,
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koji je ovdje na Berkeleyju,
12:53
has developed a new set of techniques for teaching robots from example.
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razvio nove tehnike kojima uči robote na primjerima.
12:59
So he's gotten robots to fly helicopters,
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Tako je imao robote koji upravljaju helikopterima,
13:01
do incredibly interesting, beautiful acrobatics,
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izvode nevjerojatno zanimljive, prekrasne akrobacije
13:05
by watching human experts fly them.
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gledajući ljudske majstore kako ih izvode.
Dobili smo jednoga od tih robota.
13:08
So we got one of these robots.
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13:10
We started working with Pieter and his students.
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Počeli smo raditi s Pieterom i njegovim studentima
13:12
And we asked a surgeon to perform a task --
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i zamolili smo jednoga kirurga da izvede zadatak
a mi tada s robotom,
13:18
with the robot.
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13:19
So what we're doing is asking the surgeon to perform the task,
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tražimo od robota --
kirurg treba izvesti zadatak,
13:22
and we record the motions of the robot.
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a mi snimamo pokrete robota.
13:25
So here's an example.
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Evo primjera. Uzet ću oblik osmice,
13:26
I'll use tracing out a figure eight as an example.
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pratit ću oblik osmice za primjer.
Ovako to izgleda kad robot --
13:30
So here's what it looks like when the robot --
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13:33
this is what the robot's path looks like, those three examples.
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ovako izgleda robotov put,
ta tri primjera.
13:36
Now, those are much better than what a novice like me could do,
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To je mnogo bolje nego što bi početnik kao ja
mogao napraviti, ali još uvijek je grčevito i neprecizno.
13:41
but they're still jerky and imprecise.
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13:43
So we record all these examples, the data,
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Snimili smo sve te primjere, podatke,
i prošli kroz slijed koraka.
13:46
and then go through a sequence of steps.
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Prvo smo koristili tehniku dinamičkog savijanja vremena
13:50
First, we use a technique called dynamic time warping
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13:53
from speech recognition.
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iz prepoznavanja govora, i to nam je omogućilo
13:54
And this allows us to temporally align all of the examples.
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da privremeno poravnamo sve primjere.
13:58
And then we apply Kalman filtering, a technique from control theory,
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Zatim izvršimo Kalmanovo filtriranje,
tehniku iz teorije kontrole, koja nam omogućava
14:04
that allows us to statistically analyze all the noise
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da statistički analiziramo buku
i izlučimo željenu putanju koja joj je temelj.
14:07
and extract the desired trajectory that underlies them.
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14:13
Now we take those human demonstrations --
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Zatim uzmemo te ljudske demonstracije,
14:15
they're all noisy and imperfect --
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bučne i nesavršene,
14:17
and we extract from them an inferred task trajectory
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i izlučimo iz njih pretpostavljenu putanju zadatka
14:20
and control sequence for the robot.
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i kontrolni slijed za robota.
14:23
We then execute that on the robot,
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To primijenimo na robotu,
14:25
we observe what happens,
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gledamo što se događa,
14:27
then we adjust the controls,
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te prilagodimo kontrole koristeći slijed tehnika
14:28
using a sequence of techniques called iterative learning.
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koji se zove iterativno učenje.
14:33
Then what we do is we increase the velocity a little bit.
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Zatim malo povećamo brzinu.
14:37
We observe the results, adjust the controls again,
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Promatramo rezultate, ponovno prilagodimo kontrole
i promatramo što se događa.
14:41
and observe what happens.
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14:43
And we go through this several rounds.
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Nekoliko puta prolazimo kroz taj postupak.
14:45
And here's the result.
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Evo rezultata.
14:46
That's the inferred task trajectory,
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To je pretpostavljena putanja zadatka,
14:48
and here's the robot moving at the speed of the human.
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a ovo je robot koji se miče ljudskom brzinom.
14:51
Here's four times the speed of the human.
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Ovo je četiri puta brže.
14:54
Here's seven times.
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Ovdje sedam puta.
14:57
And here's the robot operating at 10 times the speed of the human.
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I ovdje je robot koji radi 10 puta brže
od brzine čovjeka.
15:02
So we're able to get a robot to perform a delicate task
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Dakle, robot može izvršiti osjetljiv zadatak
15:05
like a surgical subtask,
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poput kirurškog podzadatka
15:09
at 10 times the speed of a human.
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u brzini deset puta većoj od čovjekove.
15:12
So this project also,
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Ovaj projekt također, budući da uključuje vježbanje
15:14
because of its involved practicing and learning,
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i učenje, neprestano ponavljanje nečega,
15:17
doing something over and over again,
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15:18
this project also has a lesson, which is:
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iz ovog projekta također možemo naučiti jednu lekciju:
15:21
if you want to do something well,
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ako želiš nešto učiniti dobro,
nema druge nego vježbati, vježbati, vježbati.
15:25
there's no substitute for practice, practice, practice.
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To su četiri pouke koje sam tijekom godina
15:33
So these are four of the lessons that I've learned from robots
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naučio od robota.
15:36
over the years.
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I robotika -- područje robotike mnogo se poboljšalo
15:39
And the field of robotics has gotten much better over time.
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tijekom vremena.
15:46
Nowadays, high school students can build robots,
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Danas srednjškolci mogu izrađivati robote
15:48
like the industrial robot my dad and I tried to build.
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poput onog industrijskog kojeg smo moj otac i ja pokušali izraditi.
15:52
But, it's very -- now ...
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Sada imam kćer,
15:55
And now, I have a daughter,
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15:59
named Odessa.
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zove se Odessa.
16:01
She's eight years old.
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Ima osam godina
16:03
And she likes robots, too.
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i također voli robote.
16:05
Maybe it runs in the family.
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Možda je to nešto nasljedno. (Smijeh)
16:07
(Laughter)
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16:08
I wish she could meet my dad.
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Volio bih da je mogla upoznati mojega oca.
16:12
And now I get to teach her how things work,
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Sada je mogu učiti kako stvari rade,
16:15
and we get to build projects together.
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možemo zajedno raditi na projektima i pitam se
16:17
And I wonder what kind of lessons she'll learn from them.
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kakve će ona pouke iz njih izvući.
16:22
Robots are the most human of our machines.
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Roboti su najljudskiji
od svih strojeva.
16:26
They can't solve all of the world's problems,
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Oni ne mogu riješiti sve svjetske probleme,
16:29
but I think they have something important to teach us.
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ali mislim da nas mogu naučiti nečemu bitnome.
16:34
I invite all of you
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Pozivam vas sve da razmislite o inovacijama
16:36
to think about the innovations that you're interested in,
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koje vas zanimaju,
16:40
the machines that you wish for.
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strojevima koje želite
16:43
And think about what they might be telling you.
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i promislite što bi vam mogli reći,
jer imam osjećaj
16:47
Because I have a hunch that many of our technological innovations,
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da nas mnoge naše tehnološke inovacije,
16:50
the devices we dream about,
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uređaji o kojima sanjamo,
mogu potaknuti da postanemo bolji ljudi.
16:54
can inspire us to be better humans.
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16:57
Thank you.
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Hvala. (Pljesak)
16:59
(Applause)
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