These robots come to the rescue after a disaster
-
0:01 - 0:06Over a million people are killed
each year in disasters. -
0:06 - 0:11Two and a half million people
will be permanently disabled or displaced, -
0:11 - 0:15and the communities will take
20 to 30 years to recover -
0:15 - 0:18and billions of economic losses.
-
0:19 - 0:23If you can reduce
the initial response by one day, -
0:23 - 0:27you can reduce the overall recovery
-
0:27 - 0:30by a thousand days, or three years.
-
0:30 - 0:32See how that works?
-
0:32 - 0:34If the initial responders
can get in, save lives, -
0:34 - 0:37mitigate whatever flooding
danger there is, -
0:37 - 0:39that means the other groups can get in
-
0:39 - 0:42to restore the water,
the roads, the electricity, -
0:42 - 0:45which means then the construction people,
the insurance agents, -
0:45 - 0:48all of them can get in
to rebuild the houses, -
0:48 - 0:51which then means
you can restore the economy, -
0:51 - 0:56and maybe even make it better
and more resilient to the next disaster. -
0:58 - 1:00A major insurance company told me
-
1:00 - 1:05that if they can get a homeowner's claim
processed one day earlier, -
1:05 - 1:07it'll make a difference of six months
-
1:07 - 1:09in that person getting
their home repaired. -
1:10 - 1:12And that's why I do disaster robotics --
-
1:12 - 1:17because robots can
make a disaster go away faster. -
1:18 - 1:20Now, you've already seen
a couple of these. -
1:20 - 1:22These are the UAVs.
-
1:22 - 1:24These are two types of UAVs:
-
1:24 - 1:26a rotorcraft, or hummingbird;
-
1:26 - 1:28a fixed-wing, a hawk.
-
1:28 - 1:31And they're used extensively since 2005 --
-
1:31 - 1:33Hurricane Katrina.
-
1:33 - 1:36Let me show you how this hummingbird,
this rotorcraft, works. -
1:36 - 1:39Fantastic for structural engineers.
-
1:39 - 1:43Being able to see damage from angles you
can't get from binoculars on the ground -
1:43 - 1:45or from a satellite image,
-
1:45 - 1:48or anything flying at a higher angle.
-
1:49 - 1:53But it's not just structural engineers
and insurance people who need this. -
1:53 - 1:55You've got things
like this fixed-wing, this hawk. -
1:55 - 1:59Now, this hawk can be used
for geospatial surveys. -
1:59 - 2:02That's where you're
pulling imagery together -
2:02 - 2:03and getting 3D reconstruction.
-
2:03 - 2:08We used both of these at the Oso mudslides
up in Washington State, -
2:08 - 2:10because the big problem
-
2:10 - 2:13was geospatial and hydrological
understanding of the disaster -- -
2:13 - 2:14not the search and rescue.
-
2:14 - 2:17The search and rescue teams
had it under control -
2:17 - 2:18and knew what they were doing.
-
2:18 - 2:22The bigger problem was that river
and mudslide might wipe them out -
2:22 - 2:23and flood the responders.
-
2:23 - 2:27And not only was it challenging
to the responders and property damage, -
2:27 - 2:31it's also putting at risk
the future of salmon fishing -
2:31 - 2:32along that part of Washington State.
-
2:32 - 2:35So they needed to understand
what was going on. -
2:35 - 2:37In seven hours, going from Arlington,
-
2:37 - 2:42driving from the Incident Command Post
to the site, flying the UAVs, -
2:42 - 2:46processing the data, driving back
to Arlington command post -- -
2:46 - 2:47seven hours.
-
2:47 - 2:51We gave them in seven hours
data that they could take -
2:51 - 2:55only two to three days
to get any other way -- -
2:55 - 2:57and at higher resolution.
-
2:57 - 2:58It's a game changer.
-
3:00 - 3:02And don't just think about the UAVs.
-
3:02 - 3:04I mean, they are sexy -- but remember,
-
3:05 - 3:0880 percent of the world's
population lives by water, -
3:08 - 3:11and that means our critical
infrastructure is underwater -- -
3:11 - 3:14the parts that we can't get to,
like the bridges and things like that. -
3:14 - 3:17And that's why we have
unmanned marine vehicles, -
3:17 - 3:21one type of which you've already met,
which is SARbot, a square dolphin. -
3:21 - 3:24It goes underwater and uses sonar.
-
3:24 - 3:26Well, why are marine vehicles so important
-
3:26 - 3:29and why are they very, very important?
-
3:29 - 3:31They get overlooked.
-
3:31 - 3:33Think about the Japanese tsunami --
-
3:33 - 3:37400 miles of coastland totally devastated,
-
3:37 - 3:42twice the amount of coastland devastated
by Hurricane Katrina in the United States. -
3:42 - 3:46You're talking about your bridges,
your pipelines, your ports -- wiped out. -
3:46 - 3:48And if you don't have a port,
-
3:48 - 3:51you don't have a way
to get in enough relief supplies -
3:51 - 3:52to support a population.
-
3:52 - 3:55That was a huge problem
at the Haiti earthquake. -
3:56 - 3:58So we need marine vehicles.
-
3:58 - 4:00Now, let's look at a viewpoint
from the SARbot -
4:00 - 4:02of what they were seeing.
-
4:02 - 4:04We were working on a fishing port.
-
4:04 - 4:10We were able to reopen that fishing port,
using her sonar, in four hours. -
4:10 - 4:12That fishing port was told
it was going to be six months -
4:12 - 4:15before they could get
a manual team of divers in, -
4:15 - 4:18and it was going to take
the divers two weeks. -
4:18 - 4:20They were going to miss
the fall fishing season, -
4:20 - 4:24which was the major economy for that part,
which is kind of like their Cape Cod. -
4:24 - 4:27UMVs, very important.
-
4:27 - 4:30But you know, all the robots
I've shown you have been small, -
4:30 - 4:34and that's because robots
don't do things that people do. -
4:34 - 4:36They go places people can't go.
-
4:36 - 4:39And a great example of that is Bujold.
-
4:39 - 4:42Unmanned ground vehicles
are particularly small, -
4:42 - 4:43so Bujold --
-
4:43 - 4:45(Laughter)
-
4:45 - 4:46Say hello to Bujold.
-
4:46 - 4:49(Laughter)
-
4:50 - 4:53Bujold was used extensively
at the World Trade Center -
4:53 - 4:55to go through Towers 1, 2 and 4.
-
4:55 - 5:00You're climbing into the rubble,
rappelling down, going deep in spaces. -
5:00 - 5:05And just to see the World Trade Center
from Bujold's viewpoint, look at this. -
5:05 - 5:10You're talking about a disaster
where you can't fit a person or a dog -- -
5:10 - 5:12and it's on fire.
-
5:12 - 5:16The only hope of getting
to a survivor way in the basement, -
5:16 - 5:18you have to go through things
that are on fire. -
5:18 - 5:22It was so hot, on one of the robots,
the tracks began to melt and come off. -
5:23 - 5:26Robots don't replace people or dogs,
-
5:26 - 5:28or hummingbirds or hawks or dolphins.
-
5:29 - 5:31They do things new.
-
5:31 - 5:36They assist the responders,
the experts, in new and innovative ways. -
5:36 - 5:41The biggest problem is not
making the robots smaller, though. -
5:41 - 5:43It's not making them more heat-resistant.
-
5:43 - 5:45It's not making more sensors.
-
5:45 - 5:48The biggest problem is the data,
the informatics, -
5:48 - 5:52because these people need to get
the right data at the right time. -
5:52 - 5:58So wouldn't it be great if we could have
experts immediately access the robots -
5:58 - 6:01without having to waste any time
of driving to the site, -
6:01 - 6:04so whoever's there,
use their robots over the Internet. -
6:04 - 6:05Well, let's think about that.
-
6:05 - 6:09Let's think about a chemical
train derailment in a rural county. -
6:09 - 6:13What are the odds that the experts,
your chemical engineer, -
6:13 - 6:14your railroad transportation engineers,
-
6:15 - 6:19have been trained on whatever UAV
that particular county happens to have? -
6:19 - 6:21Probably, like, none.
-
6:21 - 6:23So we're using these kinds of interfaces
-
6:23 - 6:28to allow people to use the robots
without knowing what robot they're using, -
6:28 - 6:31or even if they're using a robot or not.
-
6:32 - 6:38What the robots give you,
what they give the experts, is data. -
6:38 - 6:42The problem becomes:
who gets what data when? -
6:42 - 6:46One thing to do is to ship
all the information to everybody -
6:46 - 6:47and let them sort it out.
-
6:47 - 6:51Well, the problem with that
is it overwhelms the networks, -
6:51 - 6:55and worse yet, it overwhelms
the cognitive abilities -
6:55 - 6:59of each of the people trying to get
that one nugget of information -
6:59 - 7:03they need to make the decision
that's going to make the difference. -
7:04 - 7:07So we need to think
about those kinds of challenges. -
7:07 - 7:08So it's the data.
-
7:08 - 7:11Going back to the World Trade Center,
-
7:11 - 7:15we tried to solve that problem
by just recording the data from Bujold -
7:15 - 7:17only when she was deep in the rubble,
-
7:17 - 7:20because that's what the USAR team
said they wanted. -
7:21 - 7:23What we didn't know at the time
-
7:23 - 7:26was that the civil engineers
would have loved, -
7:26 - 7:30needed the data as we recorded
the box beams, the serial numbers, -
7:30 - 7:33the locations, as we went into the rubble.
-
7:33 - 7:35We lost valuable data.
-
7:35 - 7:37So the challenge is getting all the data
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7:37 - 7:39and getting it to the right people.
-
7:39 - 7:42Now, here's another reason.
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7:42 - 7:44We've learned that some buildings --
-
7:44 - 7:47things like schools,
hospitals, city halls -- -
7:47 - 7:51get inspected four times
by different agencies -
7:51 - 7:53throughout the response phases.
-
7:54 - 7:57Now, we're looking, if we can get
the data from the robots to share, -
7:57 - 8:02not only can we do things like
compress that sequence of phases -
8:02 - 8:04to shorten the response time,
-
8:04 - 8:08but now we can begin
to do the response in parallel. -
8:08 - 8:10Everybody can see the data.
-
8:10 - 8:11We can shorten it that way.
-
8:12 - 8:15So really, "disaster robotics"
is a misnomer. -
8:16 - 8:18It's not about the robots.
-
8:18 - 8:20It's about the data.
-
8:20 - 8:24(Applause)
-
8:24 - 8:26So my challenge to you:
-
8:26 - 8:28the next time you hear about a disaster,
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8:28 - 8:29look for the robots.
-
8:29 - 8:33They may be underground,
they may be underwater, -
8:33 - 8:34they may be in the sky,
-
8:34 - 8:36but they should be there.
-
8:36 - 8:37Look for the robots,
-
8:37 - 8:40because robots are coming to the rescue.
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8:40 - 8:46(Applause)
- Title:
- These robots come to the rescue after a disaster
- Speaker:
- Robin Murphy
- Description:
-
When disaster strikes, who's first on the scene? More and more, it’s a robot. In her lab, Robin Murphy builds robots that fly, tunnel, swim and crawl through disaster scenes, helping firefighters and rescue workers save more lives safely — and help communities return to normal up to three years faster.
- Video Language:
- English
- Team:
- closed TED
- Project:
- TEDTalks
- Duration:
- 08:59
Brian Greene edited English subtitles for These robots come to the rescue after a disaster | ||
Krystian Aparta approved English subtitles for These robots come to the rescue after a disaster | ||
Krystian Aparta edited English subtitles for These robots come to the rescue after a disaster | ||
Krystian Aparta accepted English subtitles for These robots come to the rescue after a disaster | ||
Krystian Aparta edited English subtitles for These robots come to the rescue after a disaster | ||
Krystian Aparta edited English subtitles for These robots come to the rescue after a disaster | ||
Krystian Aparta edited English subtitles for These robots come to the rescue after a disaster | ||
Krystian Aparta edited English subtitles for These robots come to the rescue after a disaster |