The astounding athletic power of quadcopters | Raffaello D'Andrea

10,770,209 views ・ 2013-06-12

TED


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00:00
Translator: Joseph Geni Reviewer: Morton Bast
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Translator: Nika Kotnik Reviewer: Matej Divjak
00:23
So what does it mean for a machine to be athletic?
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Kaj pomeni, da je neka naprava atletska?
00:27
We will demonstrate the concept of machine athleticism
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Pokazali vam bomo koncept atletskosti naprav
00:29
and the research to achieve it
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in raziskave, potrebne za to,
00:31
with the help of these flying machines called quadrocopters,
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s pomočjo teh letečih naprav, imenovanih kvadkopterji
00:34
or quads, for short.
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ali kvadi na kratko.
00:38
Quads have been around for a long time.
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Kvadi so tu že dolgo časa.
00:40
They're so popular these days because they're mechanically simple.
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Te dni so tako priljubljeni, ker so mehansko preprosti.
00:44
By controlling the speeds of these four propellers,
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Z nadzorovanjem hitrosti teh štirih propelerjev,
00:46
these machines can roll, pitch, yaw,
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se te naprave lahko obračajo, nagnejo, zavijajo
00:49
and accelerate along their common orientation.
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in pospešujejo v isti smeri.
00:52
On board are also a battery, a computer,
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Nameščeni so tudi baterija, računalnik,
00:55
various sensors and wireless radios.
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različni senzorji in brezžični radii.
00:59
Quads are extremely agile, but this agility comes at a cost.
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Kvadi so izjemno spretni, a ta spretnost ima svojo ceno.
01:03
They are inherently unstable,
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So neizogibno nestabilni
01:05
and they need some form of automatic feedback control
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in potrebujejo neke vrste avtomatično povratno kontrolo,
01:08
in order to be able to fly.
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da lahko letijo.
01:16
So, how did it just do that?
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Torej, kako je pravkar naredil to?
01:19
Cameras on the ceiling and a laptop
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Kamere na stropu in prenosnik
01:21
serve as an indoor global positioning system.
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služijo kot notranji globalni sistem določanja položaja.
01:24
It's used to locate objects in the space
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Uporablja se za lociranje predmetov v prostoru,
01:26
that have these reflective markers on them.
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ki imajo na sebi te odbojne oznake.
01:28
This data is then sent to another laptop
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Ti podatki so poslani na drugi prenosnik,
01:30
that is running estimation and control algorithms,
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ki poganja algoritme za ocene in nadzor,
01:32
which in turn sends commands to the quad,
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ki nato pošilja ukaze kvadu,
01:34
which is also running estimation and control algorithms.
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ki prav tako poganja algoritme za ocene in nadzor.
01:41
The bulk of our research is algorithms.
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Večina našega raziskovanja so algoritmi.
01:44
It's the magic that brings these machines to life.
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To je čarovnija, ki oživi te naprave.
01:48
So how does one design the algorithms that create a machine athlete?
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Kako torej narediš algoritme, ki ustvarijo mehanskega atleta?
01:52
We use something broadly called model-based design.
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Uporabimo nekaj, čemur pravimo na modelih temelječ dizajn.
01:55
We first capture the physics
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Najprej ujamemo fiziko
01:57
with a mathematical model of how the machines behave.
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z matematičnim modelom, ki zajame obnašanje naprav.
02:00
We then use a branch of mathematics called control theory
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Uporabimo vejo matematike, ki ji pravimo teorija nadzora,
02:04
to analyze these models
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da analiziramo te modele,
02:06
and also to synthesize algorithms for controlling them.
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in da sintetiziramo algoritme za njihov nadzor.
02:09
For example, that's how we can make the quad hover.
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Naprimer, s tem kvad lebdi.
02:12
We first captured the dynamics with a set of differential equations.
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Najprej smo zajeli dinamiko s setom diferencialnih enačb.
02:16
We then manipulate these equations with the help of control theory
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Nato smo manipulirali te enačbe s pomočjo teorije nadzora,
02:19
to create algorithms that stabilize the quad.
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da bi ustvarili algoritme, ki stabilizirajo kvad.
02:23
Let me demonstrate the strength of this approach.
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Naj vam prikažem moč tega pristopa.
02:29
Suppose that we want this quad to not only hover
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Recimo, da želimo, da kvad ne samo lebdi,
02:31
but to also balance this pole.
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ampak tudi uravnoteži to palico.
02:34
With a little bit of practice,
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Z malo vaje
02:36
it's pretty straightforward for a human being to do this,
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je precej enostavno za človeka,
a mi imamo prednost dveh nog na tleh
02:39
although we do have the advantage of having two feet on the ground
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in uporabo naših zelo vsestranskih rok.
02:42
and the use of our very versatile hands.
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02:44
It becomes a little bit more difficult
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Postane malo težje,
02:47
when I only have one foot on the ground
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ko imam na tleh samo en nogo
02:49
and when I don't use my hands.
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in ko ne uporabljam rok.
02:52
Notice how this pole has a reflective marker on top,
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Vidite, da ima ta palica na vrhu svetlečo oznako,
02:55
which means that it can be located in the space.
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kar pomeni, da jo lahko lociramo v prostoru.
03:04
(Audience) Oh!
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(občinstvo) Oh!
03:05
(Applause)
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(aplavz)
03:09
(Applause ends)
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(konec aplavza)
03:11
You can notice that this quad is making fine adjustments
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Lahko vidite, da kvad dela rahle prilagoditve,
03:14
to keep the pole balanced.
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da bi palico uravnotežil.
03:16
How did we design the algorithms to do this?
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Kako smo oblikovali algoritme za to?
03:19
We added the mathematical model of the pole
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Modelu kvada smo dodali matematični model palice.
03:21
to that of the quad.
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03:22
Once we have a model of the combined quad-pole system,
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Ko imamo enkrat model kombiniranega sistema palica-kvad,
03:25
we can use control theory to create algorithms for controlling it.
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lahko uporabimo teorijo nadzora, da ustvarimo algoritme za njun nadzor.
03:30
Here, you see that it's stable,
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Vidite, kako je stabilna
03:32
and even if I give it little nudges,
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in tudi če jo malo potisnem,
03:34
it goes back --
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gre nazaj -
03:37
to the nice, balanced position.
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na lepo, uravnoteženo pozicijo.
03:40
We can also augment the model
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Lahko tudi nadgradimo model,
03:41
to include where we want the quad to be in space.
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da vključimo, kje v prostoru želimo kvad.
03:44
Using this pointer, made out of reflective markers,
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S tem kazalcem, narejenim iz odsevnih oznak,
03:47
I can point to where I want the quad to be in space
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lahko pokažem, kje v prostoru želim kvad,
03:49
a fixed distance away from me.
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na določeni distanci od mene.
03:59
(Laughter)
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(Smeh)
04:07
The key to these acrobatic maneuvers is algorithms,
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Ključ do teh akrobatskih manevrov so algoritmi,
04:10
designed with the help of mathematical models
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oblikovani s pomočjo matematičnih modelov
04:13
and control theory.
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in teorije nadzora.
04:15
Let's tell the quad to come back here
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Povejmo kvadu, naj pride nazaj sem
04:17
and let the pole drop,
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in naj pusti palico, da pade,
04:18
and I will next demonstrate the importance
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in pokazal vam bom, kako pomembno
04:21
of understanding physical models
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je razumeti fizikalne modele
04:23
and the workings of the physical world.
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in delovanje fizičnega sveta.
04:37
Notice how the quad lost altitude when I put this glass of water on it.
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Opazite, kako je kvad izgubil višino, ko sem nanj postavil kozarec vode.
04:41
Unlike the balancing pole,
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Za razliko od palice,
04:42
I did not include the mathematical model of the glass
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nisem vključil matematičnega modela kozarca
04:45
in the system.
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v sistem.
04:47
In fact, the system doesn't even know that the glass is there.
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Pravzaprav, sistem sploh ne ve, da je kozarec tam.
04:50
Like before, I could use the pointer to tell the quad
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Kot prej, lahko uporabim kazalec, da povem kvadu,
04:52
where I want it to be in space.
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kje v prostoru želim, da je.
04:57
(Applause)
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(Aplavz)
05:03
(Applause ends)
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(konec aplavza)
05:05
Okay, you should be asking yourself,
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Ok, sedaj bi se morali vprašati,
05:07
why doesn't the water fall out of the glass?
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zakaj voda ne steče iz kozarca?
05:09
Two facts.
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Dve dejstvi.
05:10
The first is that gravity acts on all objects in the same way.
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Prvo je, da gravitacija vpliva na vse objekte enako.
05:15
The second is that the propellers
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Drugo je, da so propelerji
05:16
are all pointing in the same direction of the glass, pointing up.
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vsi obrnjeni v isto smer kozarca, gor.
05:20
You put these two things together,
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Ko združiš ti dve stvari,
05:22
the net result is that all side forces on the glass are small
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je skupni rezultat, da so vse stranske sile na kozarec majhne
05:25
and are mainly dominated by aerodynamic effects,
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in jim dominirajo aerodinamični učinki,
05:28
which at these speeds are negligible.
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ki so ob teh hitrostih zanemarljivi.
05:35
And that's why you don't need to model the glass.
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In zato vam ni treba narediti modela za kozarec.
05:37
It naturally doesn't spill, no matter what the quad does.
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Naravno se ne polije, ne glede na to, kaj naredi kvad.
05:44
(Audience) Oh!
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(občinstvo) Oh!
05:50
(Applause)
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(aplavz)
05:55
(Applause ends)
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(konec aplavza)
05:57
The lesson here
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Lekcija tu je,
05:59
is that some high-performance tasks are easier than others,
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da so nekatere visoko zmogljivostne naloge lažje od drugih
06:03
and that understanding the physics of the problem
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in da ti razumevanje fizikalnosti problema
06:05
tells you which ones are easy and which ones are hard.
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pove, katere so lahke in katere težke.
06:08
In this instance, carrying a glass of water is easy.
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V tem primeru je nošenje kozarca lahko.
06:10
Balancing a pole is hard.
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Uravnotežiti palico je težko.
06:14
We've all heard stories of athletes performing feats while physically injured.
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Vsi smo slišali zgodbe o atletih, ki so izvajali podvige med fizično poškodbo.
06:18
Can a machine also perform with extreme physical damage?
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Lahko naprava še vedno deluje, kljub hudi poškodbi?
06:22
Conventional wisdom says
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Konvencionalna modrost pravi,
06:24
that you need at least four fixed motor propeller pairs in order to fly,
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da potrebuješ vsaj štiri fiksne motorne propelerske pare, da lahko leti,
06:28
because there are four degrees of freedom to control:
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ker nadzorujemo štiri stopnje prostosti:
06:30
roll, pitch, yaw and acceleration.
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obračanje, nagibanje, zavijanje in pospeševanje.
06:33
Hexacopters and octocopters, with six and eight propellers,
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Heksakopterji in oktokopterji, s šestimi in osmimi propelerji,
06:36
can provide redundancy,
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lahko nudijo več moči, kot je potrebujejo, ampak kvadkopterji so bolj popularni,
06:37
but quadrocopters are much more popular
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06:39
because they have the minimum number of fixed motor propeller pairs: four.
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ker imajo minimalno število fiksnih motornih propelerskih parov: štiri.
06:44
Or do they?
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Ali pač?
06:52
(Audience) Oh!
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(občinstvo) Oh!
06:54
(Laughter)
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(smeh)
07:01
If we analyze the mathematical model of this machine
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Če analiziramo matematični model te naprave
07:04
with only two working propellers,
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s samo dvema delujočima propelerjema,
07:06
we discover that there's an unconventional way to fly it.
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odkrijemo, da obstaja neobičajen način letenja.
07:19
We relinquish control of yaw,
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Izgubimo zavijanje,
07:21
but roll, pitch and acceleration can still be controlled
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ampak obračanje, nagibanje in pospeševanje lahko še vedno nadzorujemo
07:24
with algorithms that exploit this new configuration.
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z algoritmi, ki uporabijo to novo konfiguracijo.
07:33
Mathematical models tell us exactly when and why this is possible.
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Matematični modeli nam povedo, točno zakaj in kdaj je to možno.
07:37
In this instance, this knowledge allows us to design
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V tem primeru nam to znanje omogoča, da oblikujemo
07:40
novel machine architectures
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izvirne načrte naprav
07:43
or to design clever algorithms that gracefully handle damage,
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ali oblikovanje pametnih algoritmov, ki elegantno obvladajo poškodbe,
07:46
just like human athletes do,
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tako kot človeški atleti,
07:48
instead of building machines with redundancy.
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namesto da bi gradili naprave z več moči, kot je potrebujejo.
07:52
We can't help but hold our breath
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Ne moremo, da ne bi zajeli sape,
07:54
when we watch a diver somersaulting into the water,
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ko gledamo potapljača, kako se požene v vodo,
07:57
or when a vaulter is twisting in the air,
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ali ko se skakalec vrti v zraku,
07:59
the ground fast approaching.
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tla pa se mu hitro približujejo.
08:00
Will the diver be able to pull off a rip entry?
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Bo potapljaču uspel skok?
08:03
Will the vaulter stick the landing?
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Bo skakalcu uspel pristanek?
08:05
Suppose we want this quad here to perform a triple flip
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Recimo da želimo, da se ta kvad trikrat obrne
08:08
and finish off at the exact same spot that it started.
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in konča na istem mestu, kot je začel.
08:11
This maneuver is going to happen so quickly
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Ta manever se bo zgodil tako hitro,
08:13
that we can't use position feedback to correct the motion during execution.
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da ne moremo uporabiti pozicijske povratne informacije.
08:17
There simply isn't enough time.
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Preprosto ni dovolj časa.
08:19
Instead, what the quad can do is perform the maneuver blindly,
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Namesto tega lahko kvad slepo izvede manever,
08:23
observe how it finishes the maneuver,
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opazuje, kako konča manever,
08:25
and then use that information to modify its behavior
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in potem uporabi te informacije, da popravi to gibanje,
08:28
so that the next flip is better.
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tako, da je naslednjič boljše.
08:30
Similar to the diver and the vaulter,
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Podobno kot potapljač ali skakalec,
08:32
it is only through repeated practice
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samo skozi vajo
08:34
that the maneuver can be learned and executed
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se lahko ta manever nauči in izvede
08:36
to the highest standard.
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po najvišjih standardih.
08:45
(Laughter)
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(smeh)
08:46
(Applause)
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(aplavz)
08:51
Striking a moving ball is a necessary skill in many sports.
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Zadeti premikajočo se žogo, je nujna sposobnost v mnogih športih.
08:55
How do we make a machine do
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Kako naprava naredi nekaj,
08:56
what an athlete does seemingly without effort?
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kot naredi atlet navidez brez truda?
09:09
(Laughter)
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(smeh)
09:16
(Applause)
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(aplavz)
09:20
(Applause ends)
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(konec aplavza)
09:22
This quad has a racket strapped onto its head
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Ta kvad ima lopar na glavi
09:25
with a sweet spot roughly the size of an apple, so not too large.
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z optimalno točko v velikosti jabolka, torej ne preveliko.
09:29
The following calculations are made every 20 milliseconds,
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Naslednji izračuni so narejeni vsakih 20 milisekund
09:31
or 50 times per second.
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ali 50-krat na sekundo.
09:33
We first figure out where the ball is going.
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Najprej ugotovimo, kam gre žoga.
09:36
We then next calculate how the quad should hit the ball
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Nato izračunamo, kako naj kvad udari žogo,
09:39
so that it flies to where it was thrown from.
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da leti tja, od koder je bila vržena.
09:41
Third, a trajectory is planned that carries the quad
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tretjič načrtujemo tirnico, ki ponese kvad
09:46
from its current state to the impact point with the ball.
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od trenutnega mesta na točko udarca z žogo.
09:49
Fourth, we only execute 20 milliseconds' worth of that strategy.
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Četrtič, izvedemo samo 20 milisekund te strategije.
09:53
Twenty milliseconds later, the whole process is repeated
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Dvajset milisekund kasneje se celoten proces ponovi,
09:56
until the quad strikes the ball.
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dokler kvad ne udari žoge.
10:07
(Applause)
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(aplavz)
10:10
Machines can not only perform dynamic maneuvers on their own,
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Naprave ne samo da same izvedejo dinamične manevre,
10:13
they can do it collectively.
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to lahko počnejo v skupinah.
10:15
These three quads are cooperatively carrying a sky net.
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Ti trije kvadi skupaj nosijo mrežo.
10:27
(Applause)
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(aplavz)
10:32
(Applause ends)
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(konec aplavza)
10:33
They perform an extremely dynamic and collective maneuver
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Izvajajo neverjetno dinamičen in kolektiven manever,
10:38
to launch the ball back to me.
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da bi mi prinesli žogo nazaj.
10:40
Notice that, at full extension, these quads are vertical.
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Vidite, ob popolni raztegnitvi so ti kvadi vertikalno.
10:48
(Applause)
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(aplavz)
10:50
In fact, when fully extended,
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Ob popolni iztegnitvi
10:52
this is roughly five times greater than what a bungee jumper feels
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je to petkrat več kot to, kar čuti bungee skakalec
10:55
at the end of their launch.
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na koncu skoka.
11:03
The algorithms to do this are very similar
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Algoritmi za to so zelo podobni
11:05
to what the single quad used to hit the ball back to me.
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tistim, ki jih je uporabil en kvad, da mi je odbil žogo nazaj.
11:09
Mathematical models are used to continuously re-plan
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Matematično modeli so uporabljeni za neprestano re-planiranje
11:11
a cooperative strategy 50 times per second.
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kooperativne strategije 50-krat na sekundo.
11:16
Everything we have seen so far has been about the machines and their capabilities.
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Vse, kar smo videli do zdaj, so bile naprave in njihove sposobnosti.
11:20
What happens when we couple this machine athleticism
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Kaj se zgodi, ko združimo atletskost teh naprav
11:23
with that of a human being?
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s človeško?
11:25
What I have in front of me is a commercial gesture sensor
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Pred seboj imam komercialni senzor gibanja,
11:29
mainly used in gaming.
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ki se uporablja pri igrah.
11:30
It can recognize what my various body parts
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Lahko prepozna, kaj počnejo deli mojega telesa v realnem času.
11:32
are doing in real time.
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11:34
Similar to the pointer that I used earlier,
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Podobno kot kazalec, ki sem ga uporabil prej.
11:36
we can use this as inputs to the system.
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lahko vstavimo te vhodne podatke v sistem.
11:39
We now have a natural way of interacting
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Sedaj imamo naraven način sodelovanja
11:41
with the raw athleticism of these quads with my gestures.
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surove atletskosti tega kvada z mojimi kretnjami.
12:22
(Applause)
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(aplavz)
12:36
Interaction doesn't have to be virtual.
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Interakcija ni nujno virtualna.
12:38
It can be physical.
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Lahko je fizična.
12:39
Take this quad, for example.
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Poglejmo naprimer tale kvad.
12:41
It's trying to stay at a fixed point in space.
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Poskuša obstati na določeni točki v prostoru.
12:44
If I try to move it out of the way, it fights me,
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Če ga poskušam premakniti, se upira
12:48
and moves back to where it wants to be.
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in se premakne tja, kjer želi biti.
12:52
We can change this behavior, however.
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A to obnašanje lahko spremenimo.
12:55
We can use mathematical models
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Lahko uporabimo matematične modele,
12:57
to estimate the force that I'm applying to the quad.
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ki ocenijo silo, ki jo uporabim na kvadu.
13:00
Once we know this force, we can also change the laws of physics,
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Ko poznamo to silo, lahko spremenimo zakone fizike,
13:03
as far as the quad is concerned, of course.
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vsaj kar se tiče kvada.
13:07
Here, the quad is behaving as if it were in a viscous fluid.
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Tu se kvad obnaša, kot da bi bil v viskozni tekočini.
13:14
We now have an intimate way of interacting with a machine.
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Sedaj imamo intimen način sodelovanja z napravo.
13:18
I will use this new capability to position
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To novo sposobnost bom uporabil, da namestim
13:21
this camera-carrying quad to the appropriate location
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ta kvad s kamero na primerno lokacijo
13:23
for filming the remainder of this demonstration.
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za snemanje preostanka te predstavitve.
13:36
So we can physically interact with these quads
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Tako lahko fizično komuniciramo s temi kvadi
13:38
and we can change the laws of physics.
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in lahko spremenimo zakone fizike.
13:41
Let's have a little bit of fun with this.
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Pozabavajmo se.
13:43
For what you will see next,
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Zdaj boste videli
13:44
these quads will initially behave as if they were on Pluto.
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kvade, ki se bodo obnašali, kot bi bili na Plutonu.
13:48
As time goes on, gravity will be increased
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Čez čas se bo gravitacija povečevala,
13:51
until we're all back on planet Earth,
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dokler ne bomo nazaj na Zemlji,
13:53
but I assure you we won't get there.
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a zagotavljam, da ne bomo prišli tja.
13:55
Okay, here goes.
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No, gremo.
14:04
(Laughter)
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(smeh)
14:34
(Laughter)
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(smeh)
14:37
(Applause)
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(aplavz)
14:41
Whew!
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Uf!
14:47
You're all thinking now,
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Sedaj si mislite,
14:48
these guys are having way too much fun,
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tile se preveč zabavajo
14:50
and you're probably also asking yourself,
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in najbrž se sprašujete,
14:52
why exactly are they building machine athletes?
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zakaj sploh gradijo mehanične atlete?
14:56
Some conjecture that the role of play in the animal kingdom
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Nekateri domnevajo, da je vloga igre v živalskem kraljestvu,
14:59
is to hone skills and develop capabilities.
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izboljšane spretnosti in razvijanje sposobnosti.
15:01
Others think that it has more of a social role,
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Drugi mislijo, da ima socialno vlogo,
15:03
that it's used to bind the group.
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da poveže skupino.
15:05
Similarly, we use the analogy of sports and athleticism
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Podobno uporabljamo analogijo športa in atletskosti,
15:08
to create new algorithms for machines
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da ustvarimo nove algoritme za naprave,
15:11
to push them to their limits.
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da jih potisnemo do meja.
15:13
What impact will the speed of machines have on our way of life?
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Kakšen vpliv bo imela hitrost teh naprav na naša življenja?
15:16
Like all our past creations and innovations,
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Kot vsi naši pretekli izumi in inovacije,
15:19
they may be used to improve the human condition
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jih lahko uporabimo za izboljšanje kvalitete življenja
15:22
or they may be misused and abused.
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ali pa bodo zlorabljeni.
15:24
This is not a technical choice we are faced with;
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To ni tehnična izbira,
15:26
it's a social one.
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socialna je.
15:28
Let's make the right choice,
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Odločimo se prav,
15:29
the choice that brings out the best in the future of machines,
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za odločitev, ki potegne najboljše iz prihodnosti naprav,
15:32
just like athleticism in sports can bring out the best in us.
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tako kot atletskost v športu potegne najboljše iz nas.
15:36
Let me introduce you to the wizards behind the green curtain.
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Naj vam predstavim čarovnike za zeleno zaveso.
15:39
They're the current members of the Flying Machine Arena research team.
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To so trenutni člani raziskovalne ekipe Flying Machine Arena.
15:42
(Applause)
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(aplavz)
15:47
Federico Augugliaro, Dario Brescianini,
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Federico Augugliaro, Dario Brescianini,
15:49
Markus Hehn, Sergei Lupashin, Mark Muller and Robin Ritz.
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Markus Hehn, Sergei Lupashin, Mark Muller in Robin Ritz.
15:53
Look out for them. They're destined for great things.
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Bodite pozorni nanje. Dosegli bodo velike stvari.
15:55
Thank you.
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Hvala.
15:56
(Applause)
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(aplavz)
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