TEDWomen 2015
Robin Murphy: These robots come to the rescue after a disaster
Robin Murphy: Ovi roboti dolaze u spas nakon katastrofe
Filmed:
Readability: 4.3
1,125,212 views
Kada nastupi katastrofa, tko je prvi na poprištu? Sve više, to su roboti. U svom laboratoriju, Robin Murphy stvara robote koji lete, kopaju, plivaju i puzaju kroz mjesta katastrofe, pomažući vatrogascima i spasiocima da spase više života na sigurniji način -- i pomognu zajednicama da se vrate u normalno stanje do tri godine brže.
Robin Murphy - Disaster roboticist
Robin Murphy researches robots -- ground, aerial and marine -- that can help out during disasters. Full bio
Robin Murphy researches robots -- ground, aerial and marine -- that can help out during disasters. Full bio
Double-click the English transcript below to play the video.
00:12
Over a million people are killed
each year in disasters.
each year in disasters.
0
999
4976
Svake godine u katastrofama pogine
preko milijun ljudi.
preko milijun ljudi.
00:17
Two and a half million people
will be permanently disabled or displaced,
will be permanently disabled or displaced,
1
5999
5234
Dva i pol milijuna ljudi
je trajno onesposobljeno i raseljeno,
je trajno onesposobljeno i raseljeno,
00:23
and the communities will take
20 to 30 years to recover
20 to 30 years to recover
2
11257
3924
a zajednicama je potrebno
20 do 30 godina za oporavak
20 do 30 godina za oporavak
00:27
and billions of economic losses.
3
15205
2401
dok ekonomski gubici broje milijarde.
00:31
If you can reduce
the initial response by one day,
the initial response by one day,
4
19054
4371
Kad bi se početni odaziv smanjio
za jedan dan
za jedan dan
00:35
you can reduce the overall recovery
5
23449
3527
bilo bi moguće smanjiti
cjelokupni oporavak
cjelokupni oporavak
00:39
by a thousand days, or three years.
6
27000
2808
za tisuću dana ili tri godine.
00:41
See how that works?
7
29832
1753
Pogledajmo kako to radi?
00:43
If the initial responders
can get in, save lives,
can get in, save lives,
8
31609
2850
Kad bi početni odaziv stigao,
spasio živote
spasio živote
00:46
mitigate whatever flooding
danger there is,
danger there is,
9
34483
2516
ublažio prisutne opasnosti poplave,
00:49
that means the other groups can get in
10
37023
2284
druge grupe bi mogle prići
00:51
to restore the water,
the roads, the electricity,
the roads, the electricity,
11
39331
2985
vratiti vodu, ceste, struju.
00:54
which means then the construction people,
the insurance agents,
the insurance agents,
12
42340
3116
Što znači da građevinari,
osiguravatelji,
osiguravatelji,
00:57
all of them can get in
to rebuild the houses,
to rebuild the houses,
13
45480
2614
svi oni bi mogli prići i
obnoviti kuće,
obnoviti kuće,
01:00
which then means
you can restore the economy,
you can restore the economy,
14
48118
2988
što znači da je moguće obnoviti
ekonomiju,
ekonomiju,
01:03
and maybe even make it better
and more resilient to the next disaster.
and more resilient to the next disaster.
15
51130
4873
a možda i poboljšati i učiniti
otpornijom na sljedeću katastrofu.
otpornijom na sljedeću katastrofu.
01:09
A major insurance company told me
16
57899
1796
Velika osiguravajuća
tvrtka je rekla
tvrtka je rekla
01:11
that if they can get a homeowner's claim
processed one day earlier,
processed one day earlier,
17
59719
5112
da kad bi se zahtjev vlasnika
kuća obradio jedan dan ranije,
kuća obradio jedan dan ranije,
01:16
it'll make a difference of six months
18
64855
2120
činilo bi razliku od šest mjeseci
01:18
in that person getting
their home repaired.
their home repaired.
19
66999
2240
u popravku doma te osobe.
01:22
And that's why I do disaster robotics --
20
70118
2329
I zato se ja bavim
robotikom katastrofa --
robotikom katastrofa --
01:24
because robots can
make a disaster go away faster.
make a disaster go away faster.
21
72471
4499
zato što omogućuju ubrzavanje
prolaska katastrofe.
prolaska katastrofe.
01:30
Now, you've already seen
a couple of these.
a couple of these.
22
78305
2017
Sada, već ste vidjeli nekoliko ovakvih.
01:32
These are the UAVs.
23
80346
1720
Ovo su UAV-i.
01:34
These are two types of UAVs:
24
82090
1861
Ovo su dvije vrste UAV-a:
01:35
a rotorcraft, or hummingbird;
25
83975
1865
letjelica s rotirajućim krilima, kolibri
01:37
a fixed-wing, a hawk.
26
85864
2070
letjelica s nepokretnim krilom, sokol
01:39
And they're used extensively since 2005 --
27
87958
3390
A opsežno se koriste od 2005. godine --
01:43
Hurricane Katrina.
28
91372
1175
Uragana Katrina.
01:44
Let me show you how this hummingbird,
this rotorcraft, works.
this rotorcraft, works.
29
92571
3324
Pokazat ću vam kako ovaj kolibri,
ova rotirajuća letjelica, radi.
ova rotirajuća letjelica, radi.
01:47
Fantastic for structural engineers.
30
95919
3056
Fantastično za građevinske inženjere.
01:50
Being able to see damage from angles you
can't get from binoculars on the ground
can't get from binoculars on the ground
31
98999
4420
Mogu vidjeti oštećenje iz kuteva
koje ne dohvati dalekozor sa tla
koje ne dohvati dalekozor sa tla
01:55
or from a satellite image,
32
103443
1310
ili satelitska snimka,
01:56
or anything flying at a higher angle.
33
104777
3192
ili bilo što, što leti pod višim kutem.
02:00
But it's not just structural engineers
and insurance people who need this.
and insurance people who need this.
34
108530
4372
Ali ne trebaju samo građevinari i
osiguravatelji ovakvu tehnologiju.
osiguravatelji ovakvu tehnologiju.
02:04
You've got things
like this fixed-wing, this hawk.
like this fixed-wing, this hawk.
35
112926
2467
Postoji nešto kao što je ova
letjelica, sokol.
letjelica, sokol.
02:07
Now, this hawk can be used
for geospatial surveys.
for geospatial surveys.
36
115417
3271
Ova letjelica se može koristiti za
prostorne nadzore.
prostorne nadzore.
02:10
That's where you're
pulling imagery together
pulling imagery together
37
118712
2849
Pri tome se spajaju
slike zajedno
slike zajedno
02:13
and getting 3D reconstruction.
38
121585
1825
i dobiva 3D rekonstrukcija.
02:15
We used both of these at the Oso mudslides
up in Washington State,
up in Washington State,
39
123434
4074
Koristili smo obje pri pregledu Oso
klizišta u državi Washington,
klizišta u državi Washington,
02:19
because the big problem
40
127532
2199
jer je veliki problem
02:21
was geospatial and hydrological
understanding of the disaster --
understanding of the disaster --
41
129755
3158
bilo prostorno i hidrološko razumijevanje
katastrofe --
katastrofe --
02:24
not the search and rescue.
42
132937
1246
a ne potraga i spašavanje.
02:26
The search and rescue teams
had it under control
had it under control
43
134207
2319
Spasilački timovi su
imali sve pod kontrolom
imali sve pod kontrolom
02:28
and knew what they were doing.
44
136550
1478
i znali su što rade.
02:30
The bigger problem was that river
and mudslide might wipe them out
and mudslide might wipe them out
45
138052
3870
Veći je problem je bila mogućnost da ih
rijeka i klizište ne uništi
rijeka i klizište ne uništi
02:33
and flood the responders.
46
141946
1494
i poplavi odaziv.
02:35
And not only was it challenging
to the responders and property damage,
to the responders and property damage,
47
143464
3742
I ne samo da je bio izazov za odaziv i
štetu imovine,
štetu imovine,
02:39
it's also putting at risk
the future of salmon fishing
the future of salmon fishing
48
147230
3279
već je postala rizična i budućnost
ribolova lososa
ribolova lososa
02:42
along that part of Washington State.
49
150533
1716
u tom dijelu države Washington.
02:44
So they needed to understand
what was going on.
what was going on.
50
152273
2476
Zato je bilo potrebno razumijeti
što se događa.
što se događa.
02:46
In seven hours, going from Arlington,
51
154773
2609
Za sedam sati, odlaskom iz Arlingtona,
02:49
driving from the Incident Command Post
to the site, flying the UAVs,
to the site, flying the UAVs,
52
157406
4814
vožnja od Zapovjednog mjesta incidenta
do poprišta, let UAV-a,
do poprišta, let UAV-a,
02:54
processing the data, driving back
to Arlington command post --
to Arlington command post --
53
162244
3731
obrada podataka, vožnja natrag u
zapovjedno mjesto Arlington --
zapovjedno mjesto Arlington --
02:57
seven hours.
54
165999
1406
sedam sati.
02:59
We gave them in seven hours
data that they could take
data that they could take
55
167429
3534
Imali su sedam sati za podatke
kojima inače treba
kojima inače treba
03:02
only two to three days
to get any other way --
to get any other way --
56
170987
3750
dva do tri dana
bilo kojim drugim načinom --
bilo kojim drugim načinom --
03:06
and at higher resolution.
57
174761
1837
i u većoj razlučivosti.
03:09
It's a game changer.
58
177064
1373
Totalni preokret.
03:11
And don't just think about the UAVs.
59
179773
2069
I ne mislite samo na UAV-e.
03:13
I mean, they are sexy -- but remember,
60
181866
2628
Mislim, seksi su -- ali sjetite se,
03:16
80 percent of the world's
population lives by water,
population lives by water,
61
184518
3336
80 posto svjetske populacije
živi pokraj vode,
živi pokraj vode,
03:19
and that means our critical
infrastructure is underwater --
infrastructure is underwater --
62
187878
2864
što znači da je kritična infrastruktura
ispod vode --
ispod vode --
03:22
the parts that we can't get to,
like the bridges and things like that.
like the bridges and things like that.
63
190766
3286
dijelovi do kojih ne možemo doći,
kao što su mostovi i drugo.
kao što su mostovi i drugo.
03:26
And that's why we have
unmanned marine vehicles,
unmanned marine vehicles,
64
194076
2592
Zato imamo bezposadna morska vozila,
03:28
one type of which you've already met,
which is SARbot, a square dolphin.
which is SARbot, a square dolphin.
65
196692
4452
jednog tipa kojeg ste već sreli,
SAR-bot, četvrtasti delfin.
SAR-bot, četvrtasti delfin.
03:33
It goes underwater and uses sonar.
66
201168
2696
Ide ispod vode i koristi sonar.
03:35
Well, why are marine vehicles so important
67
203888
2333
Dakle, zašto su morska vozila toliko bitna
03:38
and why are they very, very important?
68
206245
3124
i zašto su tako jako, jako bitna?
03:41
They get overlooked.
69
209393
1516
Često se previde.
03:42
Think about the Japanese tsunami --
70
210933
2402
Razmislite o tsunamiju u Japanu --
03:45
400 miles of coastland totally devastated,
71
213359
3966
644 km obale potpuno uništeno,
03:49
twice the amount of coastland devastated
by Hurricane Katrina in the United States.
by Hurricane Katrina in the United States.
72
217349
4696
dvostruko više od količine obale uništene
uraganom Katrina u SAD-u.
uraganom Katrina u SAD-u.
03:54
You're talking about your bridges,
your pipelines, your ports -- wiped out.
your pipelines, your ports -- wiped out.
73
222069
3856
Pričamo o vašim mostovima,
cijevima, lukama -- uništeni.
cijevima, lukama -- uništeni.
03:57
And if you don't have a port,
74
225949
1612
A ako nemate luku,
03:59
you don't have a way
to get in enough relief supplies
to get in enough relief supplies
75
227585
3246
nemate način da stigne pomoćna opskrba
04:02
to support a population.
76
230855
1221
da izdrži populaciju.
04:04
That was a huge problem
at the Haiti earthquake.
at the Haiti earthquake.
77
232100
2572
To je bio ogroman problem kod
potresa na Haitiju.
potresa na Haitiju.
04:07
So we need marine vehicles.
78
235565
2122
Zato su nam potrebna morska vozila
04:09
Now, let's look at a viewpoint
from the SARbot
from the SARbot
79
237711
2431
Sad, pogledajmo gledište SAR-bota
04:12
of what they were seeing.
80
240166
1471
što su oni vidjeli.
04:13
We were working on a fishing port.
81
241661
2246
Radili smo na ribarskoj luci.
04:15
We were able to reopen that fishing port,
using her sonar, in four hours.
using her sonar, in four hours.
82
243931
5716
Otvorili smo tu ribarsku luku, koristeći
sonar, za četiri sata.
sonar, za četiri sata.
04:21
That fishing port was told
it was going to be six months
it was going to be six months
83
249671
2653
Ribarskoj luci su rekli da je
potrebno šest mjeseci
potrebno šest mjeseci
04:24
before they could get
a manual team of divers in,
a manual team of divers in,
84
252348
2706
da bi tim ronioca prišao,
04:27
and it was going to take
the divers two weeks.
the divers two weeks.
85
255078
2687
i da će roniocima biti potrebno
dva tjedna.
dva tjedna.
04:29
They were going to miss
the fall fishing season,
the fall fishing season,
86
257789
2294
Propustili bi jesensku ribarsku sezonu,
04:32
which was the major economy for that part,
which is kind of like their Cape Cod.
which is kind of like their Cape Cod.
87
260107
4226
što je velik ekonomski gubitak za taj kraj
koji je nešto kao njihov Cape Cod.
koji je nešto kao njihov Cape Cod.
04:36
UMVs, very important.
88
264357
2268
UMV, vrlo značajni.
04:38
But you know, all the robots
I've shown you have been small,
I've shown you have been small,
89
266649
3248
Ali znate, svi roboti koje
sam vam pokazala su bili mali,
sam vam pokazala su bili mali,
04:41
and that's because robots
don't do things that people do.
don't do things that people do.
90
269921
3777
a to je zato što roboti ne rade stvari
koje ljudi rade.
koje ljudi rade.
04:45
They go places people can't go.
91
273722
2253
Idu na mjesta na koja ljudi ne mogu.
04:47
And a great example of that is Bujold.
92
275999
2976
Izvrstan primjer za to je Bujold.
04:50
Unmanned ground vehicles
are particularly small,
are particularly small,
93
278999
2976
Bezposadna vozila na tlu
su posebno mala,
su posebno mala,
04:53
so Bujold --
94
281999
1318
pa Bujold --
04:55
(Laughter)
95
283341
1508
(Smijeh)
04:56
Say hello to Bujold.
96
284873
1183
Pozdravite Bujolda.
04:58
(Laughter)
97
286080
2684
(Smijeh)
05:01
Bujold was used extensively
at the World Trade Center
at the World Trade Center
98
289606
3369
Bujold se opsežno koristio u
WTC-u
WTC-u
05:04
to go through Towers 1, 2 and 4.
99
292999
2380
u tornjevima 1, 2 i 4.
05:07
You're climbing into the rubble,
rappelling down, going deep in spaces.
rappelling down, going deep in spaces.
100
295403
4645
Penjete se po ruševinama, spuštate se,
idete dubokim prolazima.
idete dubokim prolazima.
05:12
And just to see the World Trade Center
from Bujold's viewpoint, look at this.
from Bujold's viewpoint, look at this.
101
300072
4559
Da bi vidjeli WTC iz perspektive Bujolda,
pogledajte ovo.
pogledajte ovo.
05:16
You're talking about a disaster
where you can't fit a person or a dog --
where you can't fit a person or a dog --
102
304655
5069
Pričamo o katastrofi gdje ne stane
osoba ni pas --
osoba ni pas --
05:21
and it's on fire.
103
309748
2142
i pri tome je požar.
05:23
The only hope of getting
to a survivor way in the basement,
to a survivor way in the basement,
104
311914
3734
Jedina nada da dođete do prolaska za spas
u podrumu,
u podrumu,
05:27
you have to go through things
that are on fire.
that are on fire.
105
315672
2195
je da prođete kroz vatru.
05:29
It was so hot, on one of the robots,
the tracks began to melt and come off.
the tracks began to melt and come off.
106
317891
4504
Bilo je toliko vruće, da se na jednom
robotu gusjenica počela topiti i spadati.
robotu gusjenica počela topiti i spadati.
05:35
Robots don't replace people or dogs,
107
323161
2788
Roboti ne zamjenjuju ljude ili pse,
05:37
or hummingbirds or hawks or dolphins.
108
325973
2521
ili kolibrije ili sokole ili delfine.
05:40
They do things new.
109
328518
2036
Rade stvari na nov način.
05:42
They assist the responders,
the experts, in new and innovative ways.
the experts, in new and innovative ways.
110
330578
5689
Pomažu odazivu, stručnjacima na nove
i inovativne načine.
i inovativne načine.
05:48
The biggest problem is not
making the robots smaller, though.
making the robots smaller, though.
111
336291
4429
Najveći problem nije napraviti robote
manjima.
manjima.
05:52
It's not making them more heat-resistant.
112
340744
2231
Niti otpornijima na toplinu.
05:54
It's not making more sensors.
113
342999
1757
Niti napraviti više senzora.
05:56
The biggest problem is the data,
the informatics,
the informatics,
114
344780
3610
Najveći problem su podaci,
informatika,
informatika,
06:00
because these people need to get
the right data at the right time.
the right data at the right time.
115
348414
4036
zato što ovi ljudi trebaju prave podatke
u pravo vrijeme.
u pravo vrijeme.
06:04
So wouldn't it be great if we could have
experts immediately access the robots
experts immediately access the robots
116
352474
5501
Ne bi li bilo divno da stručnjaci mogu
odmah pristupiti robotima
odmah pristupiti robotima
06:09
without having to waste any time
of driving to the site,
of driving to the site,
117
357999
2976
bez gubljenja vremena na vožnju
do poprišta nesreće,
do poprišta nesreće,
06:12
so whoever's there,
use their robots over the Internet.
use their robots over the Internet.
118
360999
2933
pa tko god je tamo,
iskoristi svog robota preko interneta.
iskoristi svog robota preko interneta.
06:15
Well, let's think about that.
119
363956
1382
Razmislimo o tome.
06:17
Let's think about a chemical
train derailment in a rural county.
train derailment in a rural county.
120
365362
3372
Razmislimo o kemijskom iskliznuću vlaka
u seoskom okrugu.
u seoskom okrugu.
06:20
What are the odds that the experts,
your chemical engineer,
your chemical engineer,
121
368758
3842
Koje su šanse da su stručnjaci,
vaš kemijski inženjer,
vaš kemijski inženjer,
06:24
your railroad transportation engineers,
122
372624
1862
vaši inženjeri željezničkog prijevoza,
06:26
have been trained on whatever UAV
that particular county happens to have?
that particular county happens to have?
123
374510
4861
trenirani na bilo kakvom UAV-u
kojeg vaš okrug posjeduje?
kojeg vaš okrug posjeduje?
06:31
Probably, like, none.
124
379395
1533
Vjerojatno, nikakve.
06:32
So we're using these kinds of interfaces
125
380952
2390
Zato koristimo ovakva sučelja
06:35
to allow people to use the robots
without knowing what robot they're using,
without knowing what robot they're using,
126
383366
4340
da omogućimo ljudima da koriste robote
bez znanja kojeg robota koriste.
bez znanja kojeg robota koriste.
06:39
or even if they're using a robot or not.
127
387730
2786
ili koriste li uopće robote ili ne.
06:44
What the robots give you,
what they give the experts, is data.
what they give the experts, is data.
128
392252
6034
Ono što roboti daju,
što roboti daju stručnjacima, su podaci.
što roboti daju stručnjacima, su podaci.
06:50
The problem becomes:
who gets what data when?
who gets what data when?
129
398310
3580
Problem je dakle:
tko dobiva podatke i kada?
tko dobiva podatke i kada?
06:53
One thing to do is to ship
all the information to everybody
all the information to everybody
130
401914
3893
Jedna stvar je dostaviti sve informacije
svima
svima
06:57
and let them sort it out.
131
405831
1512
i pustiti da ih sortiraju.
06:59
Well, the problem with that
is it overwhelms the networks,
is it overwhelms the networks,
132
407367
3856
Problem pri tome je preopterećenje mreža,
07:03
and worse yet, it overwhelms
the cognitive abilities
the cognitive abilities
133
411247
3686
i još gore, preopterećuje
kognitivne sposobnosti
kognitivne sposobnosti
07:06
of each of the people trying to get
that one nugget of information
that one nugget of information
134
414957
4509
svakog čovjeka koji pokušava doći do
komadića informacije
komadića informacije
07:11
they need to make the decision
that's going to make the difference.
that's going to make the difference.
135
419490
3805
oni moraju donijeti odluke koje će
donijeti promjenu.
donijeti promjenu.
07:15
So we need to think
about those kinds of challenges.
about those kinds of challenges.
136
423999
3094
Zato moramo razmisliti o
takvim izazovima.
takvim izazovima.
07:19
So it's the data.
137
427117
1265
Dakle, podaci su u pitanju
07:20
Going back to the World Trade Center,
138
428406
2236
Vratimo se na WTC,
07:22
we tried to solve that problem
by just recording the data from Bujold
by just recording the data from Bujold
139
430666
4309
pokušavali smo rješiti taj problem
snimajući samo podatke iz Bujolda
snimajući samo podatke iz Bujolda
07:26
only when she was deep in the rubble,
140
434999
1976
samo kad je bila duboko u ruševinama,
07:28
because that's what the USAR team
said they wanted.
said they wanted.
141
436999
2564
zato što je USAR tim to tražio.
07:32
What we didn't know at the time
142
440523
2588
Ono što nismo znali tada
07:35
was that the civil engineers
would have loved,
would have loved,
143
443135
2598
je da bi građevinski inženjeri voljeli,
07:37
needed the data as we recorded
the box beams, the serial numbers,
the box beams, the serial numbers,
144
445757
4218
trebali podatke dok smo snimali
noseće grede, serijske brojeve,
noseće grede, serijske brojeve,
07:41
the locations, as we went into the rubble.
145
449999
2619
lokacije, dok je ulazila dublje u ruševine.
07:45
We lost valuable data.
146
453343
1467
Izgubili smo vrijedne podatke.
07:46
So the challenge is getting all the data
147
454834
2379
Prema tome, izazov je prikupiti
sve podatke
sve podatke
07:49
and getting it to the right people.
148
457237
2180
i dostaviti pravim ljudima.
07:51
Now, here's another reason.
149
459441
2077
Evo još jedan razlog.
07:53
We've learned that some buildings --
150
461542
2311
Naučili smo da se neke zgrade --
07:55
things like schools,
hospitals, city halls --
hospitals, city halls --
151
463877
3272
kao što su škole, bolnice,
gradske vijećnice --
gradske vijećnice --
07:59
get inspected four times
by different agencies
by different agencies
152
467173
4019
pregledavaju četiri puta
od strana različitih agencija
od strana različitih agencija
08:03
throughout the response phases.
153
471216
2250
tijekom faze odaziva.
08:06
Now, we're looking, if we can get
the data from the robots to share,
the data from the robots to share,
154
474156
3269
Sada, gledamo da ako podijelimo podatke
koje roboti prikupe,
koje roboti prikupe,
08:09
not only can we do things like
compress that sequence of phases
compress that sequence of phases
155
477449
4850
ne samo da možemo stisnuti slijed faza
08:14
to shorten the response time,
156
482323
1653
da bi smanjili vrijeme odaziva,
08:16
but now we can begin
to do the response in parallel.
to do the response in parallel.
157
484000
4358
nego možemo paralelno početi sa odazivom.
08:20
Everybody can see the data.
158
488382
1379
Svatko može vidjeti podatke.
08:21
We can shorten it that way.
159
489785
1462
Tako ih možemo skratiti.
08:23
So really, "disaster robotics"
is a misnomer.
is a misnomer.
160
491999
3406
Tako da, zaista, "robotika katastrofe"
je pogrešan naziv.
je pogrešan naziv.
08:28
It's not about the robots.
161
496227
1895
Ne radi se o robotima.
08:30
It's about the data.
162
498146
1882
Nego o podacima.
08:32
(Applause)
163
500433
3330
(Pljesak)
08:35
So my challenge to you:
164
503787
1957
Moj izazov za vas je:
08:37
the next time you hear about a disaster,
165
505768
2300
sljedeći put kad čujete za katastrofu,
08:40
look for the robots.
166
508092
1325
potražite robote.
08:41
They may be underground,
they may be underwater,
they may be underwater,
167
509441
3125
Možda su ispod zemlje,
možda su ispod vode,
možda su ispod vode,
08:44
they may be in the sky,
168
512590
1694
možda su na nebu,
08:46
but they should be there.
169
514308
1965
ali bi trebali biti tamo.
08:48
Look for the robots,
170
516297
1167
Potražite robote,
08:49
because robots are coming to the rescue.
171
517488
2747
jer roboti dolaze u spas.
08:52
(Applause)
172
520259
5661
(Pljesak)
ABOUT THE SPEAKER
Robin Murphy - Disaster roboticistRobin Murphy researches robots -- ground, aerial and marine -- that can help out during disasters.
Why you should listen
Robin Murphy imagines how robots can do tasks no human could amid scenes of disaster hard to imagine, from the World Trade Center disaster to Hurricane Katrina to the Fukushima Daiichi nuclear emergency. In her recent book, Disaster Robotics, she lays out her research into the problem, which pulls together artificial intelligence, robotics and human-robot interaction.
At Texas A&M, Murphy is the director of the Center for Robot-Assisted Search and Rescue and the Center for Emergency Informatics. She also co-founded the IEEE Robotics and Automation Society’s Technical Committee on Safety Security and Rescue Robotics and its annual conference. Her field work, combined with technology transfer and research community-building activities, led to her receiving the 2014 ACM Eugene L. Lawler Award for Humanitarian Contributions within Computer Science and Informatics.
Robin Murphy | Speaker | TED.com