WEBVTT - The DARPA Grand Challenges

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<v Speaker 1>Get in touch with technology with tech Stuff from how

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<v Speaker 1>stuff Works dot com. Hey there, and welcome to tech Stuff.

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<v Speaker 1>I'm your host, Jonathan Strickland. I'm an executive producer with

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<v Speaker 1>how Stuff Works in I heart radio and I love

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<v Speaker 1>all things tech. And in our last episode, if you

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<v Speaker 1>haven't heard that, you should probably go and listen to it.

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<v Speaker 1>But I left off with Ernest Dickmans, the German engineer

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<v Speaker 1>who had done amazing work with dynamic computer vision and

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<v Speaker 1>vehicle automation in the nineteen eighties and nineties. But that

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<v Speaker 1>work would only go as far as the sophistication of

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<v Speaker 1>the technology of the time would allow, and funding for

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<v Speaker 1>AI work had gotten pretty darn scarce in the eighties

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<v Speaker 1>and nineties. So while he and his team were prepping

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<v Speaker 1>for their ninety four demonstrations that were so impressive, there

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<v Speaker 1>was similar work going on in the United States. From

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<v Speaker 1>to nine. Research teams took advantage of six hundred fifty

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<v Speaker 1>million dollars of funding created by the US government through

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<v Speaker 1>the Intermodal Surface Transportation Efficiency Act. That act was meant

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<v Speaker 1>to support planning for several transportation projects, uh including the

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<v Speaker 1>creation of new rail lines between various cities. At the

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<v Speaker 1>autonomous research was really just one piece of this larger legislation.

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<v Speaker 1>And also just to let you guys know, in case

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<v Speaker 1>you're curious, many of those projects did not receive enough

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<v Speaker 1>funding to really accomplish their goals, so they never really

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<v Speaker 1>self fruition. It's one of the downsides of government projects

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<v Speaker 1>is that the budgets are too low. Nothing of real

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<v Speaker 1>import tends to happen. People might get paid by some

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<v Speaker 1>of that money, but the actual projects don't necessarily, you know, happen.

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<v Speaker 1>On the driver list car side, nine organizations began to

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<v Speaker 1>work on technologies to make driverless cars a reality, but

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<v Speaker 1>the deadline for meeting those goals in a suitable demonstration

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<v Speaker 1>was and from what I can tell, not a whole

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<v Speaker 1>lot of progress was made in that time, or at

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<v Speaker 1>least not enough to end up with an impressive demonstration.

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<v Speaker 1>That marked a point in history that we would say,

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<v Speaker 1>this is really important in driver lest cars. But we're

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<v Speaker 1>continued on the various systems that would be necessary to

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<v Speaker 1>make driverless cars. But you would argue that driverless car

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<v Speaker 1>research and development as a whole, as a as a

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<v Speaker 1>goal in of itself, was kind of shelved for a while.

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<v Speaker 1>There were people working on various parts of the problem.

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<v Speaker 1>Most of them were working in fields that ultimately would

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<v Speaker 1>prove important to the development of driverless cars. But again,

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<v Speaker 1>they were doing this for other reasons, and it wasn't

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<v Speaker 1>necessarily as uh an in goal of creating an autonomous vehicle.

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<v Speaker 1>Much of the excitement and money around the concept had

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<v Speaker 1>died down by the mid to late nineties. Some of

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<v Speaker 1>those related research projects would end up growing out of

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<v Speaker 1>a US backed R and D project called the Strategic

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<v Speaker 1>Computing Initiative or s c I now that actually got

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<v Speaker 1>started in ninety three. The goal of the initiative was

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<v Speaker 1>incredibly ambitious. That's a very kind way of putting it.

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<v Speaker 1>I'd actually say it was unrealistically ambitious. It was to

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<v Speaker 1>develop the technology to create a machine learning system capable

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<v Speaker 1>of running quote, ten billion instructions per second to see here,

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<v Speaker 1>speak and think like a human. The degree of integration

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<v Speaker 1>required would rival that achieved by the human brain, the

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<v Speaker 1>most complex instrument known to man. End quote. That was

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<v Speaker 1>actually written in an account by Alex Rowland and Philip

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<v Speaker 1>Shiman for the m I T Press about the s

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<v Speaker 1>c I project. The goal was to achieve that in

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<v Speaker 1>just a deck aid so starting in nineteen eighty three,

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<v Speaker 1>the plan was that by ninetee, we're gonna have a

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<v Speaker 1>computer that can think and and experience like a human can. Wowsers.

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<v Speaker 1>So it's pretty obvious by the late eighties that this

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<v Speaker 1>was not gonna happen. They were not going to hit

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<v Speaker 1>that goal, and in retrospect, we would probably call this

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<v Speaker 1>the result of hubrists. The human brain is far more

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<v Speaker 1>complicated and technology is far more limited than we gave

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<v Speaker 1>either credit for back in nineteen eighty three. Nevertheless, the

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<v Speaker 1>Defense Advanced Research Projects Agency or DARPA and the Department

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<v Speaker 1>of Defense, which is the department that oversees DARPA, poured

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<v Speaker 1>about a billion dollars into funding various programs throughout the

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<v Speaker 1>United States in an effort to achieve this goal. And

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<v Speaker 1>while we did not get a computer that thinks like

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<v Speaker 1>a person out of this whole process, many influential computer

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<v Speaker 1>scientists and research projects were able to advance our capabilities

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<v Speaker 1>and understanding through their work which got funding from this project.

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<v Speaker 1>So we didn't get what the project was aimed to produce,

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<v Speaker 1>but we did benefit from it. Some of that work

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<v Speaker 1>would become really important for the next big DARPA initiative

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<v Speaker 1>that I'm going to cover, and that is the Grand Challenge.

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<v Speaker 1>The history of the Grand Challenge dates back to two

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<v Speaker 1>thousand one. At that time, the United States Congress had

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<v Speaker 1>its own challenge for the various branches of the U. S. Military.

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<v Speaker 1>The US Congress said, we want you to develop the

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<v Speaker 1>technology necessary to allow one third of all military ground

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<v Speaker 1>combat vehicles to be unscrewed by two thousand fifteen. In

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<v Speaker 1>other words, to have autonomous ground combat vehicles one third

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<v Speaker 1>of all of them. The purpose, obviously was to keep

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<v Speaker 1>soldiers out of harm's way as much as possible. That

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<v Speaker 1>if you could have these ground combat vehicles operate autonomously,

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<v Speaker 1>then if one gets destroyed, that's a huge amount of

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<v Speaker 1>money gone down the drain, but no one dies, at

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<v Speaker 1>least no one on your side dies. Achieving this goal

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<v Speaker 1>would also be super difficult to do. Technology just wasn't

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<v Speaker 1>where it would need to be by itself. The defense

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<v Speaker 1>contractors that DARPA would work with on these sort of

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<v Speaker 1>solutions weren't making the progress necessary in order to meet

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<v Speaker 1>that two thousand fifteen goal, and DARPA recognized this early on.

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<v Speaker 1>They said, this is just not gonna happen. So in

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<v Speaker 1>the final report for the two thousand four Grand Challenge,

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<v Speaker 1>which was the first of the three Grand Challenges around

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<v Speaker 1>autonomous cars, the logic that the agency laid out to

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<v Speaker 1>justify this challenge was this, while there have been a

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<v Speaker 1>number of significant technical breakthroughs leading to robust unmanned air

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<v Speaker 1>vehicles that US forces used today, progress in unmanned autonomous

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<v Speaker 1>ground vehicle technology has not occurred at a similar rate.

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<v Speaker 1>Vehicle operations in a ground environment are a much more

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<v Speaker 1>difficult challenge due to terrain, man made obstacles, and weather

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<v Speaker 1>that's just scratching the surface. They actually were pretty you know,

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<v Speaker 1>generous in that regard, because as it turns out, there

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<v Speaker 1>are a lot of other factors that make this a

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<v Speaker 1>really difficult problem. And I think one other thing quick

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<v Speaker 1>tangent that I think is important here is DARPA pointing out, yes,

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<v Speaker 1>we came up with autonomous systems for aircraft ages ago.

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<v Speaker 1>We have lots of them. We have unmanned drones that

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<v Speaker 1>we can fly, but we haven't really done that with cars.

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<v Speaker 1>I think that's also a good reminder that technology does

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<v Speaker 1>not all progress at the same accelerated rate. We have

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<v Speaker 1>more is law, which has kind of conditioned us to

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<v Speaker 1>think about our technology advancing rapidly over the course of

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<v Speaker 1>every two years. But that doesn't apply to every technology.

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<v Speaker 1>It applies specifically these days to computational power, and originally

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<v Speaker 1>only dealt with the number of transistors you could fit

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<v Speaker 1>on a square inch of silicon wafer. So this is

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<v Speaker 1>good to remember because I think a lot of futurists

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<v Speaker 1>just kind of apply More's law to all technologies and

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<v Speaker 1>just assume that everything is accelerated at that saint or

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<v Speaker 1>everything is moving at that same accelerated rate. Back to

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<v Speaker 1>autonomous cars. Jose Negron, who worked at DARPA at the

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<v Speaker 1>time of the Grand Challenges, went to the director of

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<v Speaker 1>DARPA with an idea, and he said, there are a

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<v Speaker 1>lot of people out there who could potentially contribute to

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<v Speaker 1>the advancement of technology we're going to need for autonomous cars.

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<v Speaker 1>But we normally would work with them because they're independent innovators,

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<v Speaker 1>They work with smaller groups, they aren't part of defense

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<v Speaker 1>contractor companies, and so they don't often get a chance

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<v Speaker 1>to do any sort of work for the Department of Defense.

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<v Speaker 1>But we could take advantage of them if we are

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<v Speaker 1>if we give them the chance to participate, we could

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<v Speaker 1>benefit from that and they might create the breakthroughs that

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<v Speaker 1>we need to meet that two thousand fifteen deadline. And so,

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<v Speaker 1>after a couple of years of funding various research projects,

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<v Speaker 1>the then director of DARPA was a guy named Tony Teather.

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<v Speaker 1>Anthony Tather announced a new initiative and it was for

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<v Speaker 1>an open challenge to any teams that wanted to participate.

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<v Speaker 1>Anyone could apply to be part of this challenge. Specifically,

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<v Speaker 1>the challenge was to develop autonomous vehicle technology and incorporate

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<v Speaker 1>it into a vehicle that could traverse a one forty

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<v Speaker 1>two mile course without human intervention. So from the start

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<v Speaker 1>of the course to the end of it, the vehicle

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<v Speaker 1>would have to be operating under its own abilities, its

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<v Speaker 1>own power. The team to complete this course in the

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<v Speaker 1>shortest amount of time would take home a million dollars. Now, initially,

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<v Speaker 1>Anthony Tather was skeptical that this announcement was going to

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<v Speaker 1>draw much interest. He said, we'll get a shot, but

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<v Speaker 1>I don't think very many people are going to respond.

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<v Speaker 1>DARPA scheduled a kickoff event at the Peterson Automotive Museum

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<v Speaker 1>in Los Angeles, California for anyone interested in participating. On

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<v Speaker 1>the day of that event, Anthony Tather arrived at the

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<v Speaker 1>venue a half hour before the scheduled time to start,

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<v Speaker 1>and he discovered there was a line wrapping around the

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<v Speaker 1>block of people who were interested in participating. According to

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<v Speaker 1>the final report for the two thousand four Challenge, more

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<v Speaker 1>than four hundred people showed up to that first conference.

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<v Speaker 1>The race course for this two thousand four event would

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<v Speaker 1>end up being incredibly challenging. A guy named Salve Fish

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<v Speaker 1>actually designed the course and he made it really tough.

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<v Speaker 1>Vehicles would travel through the desert, including trips up and

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<v Speaker 1>down hills and through switchbacks. Sometimes the road would narrow

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<v Speaker 1>down to about ten feet wide. There are points where

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<v Speaker 1>the road would drop off several feet to one side

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<v Speaker 1>or the other. The course crossed railroad tracks. There was

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<v Speaker 1>the chance that the cars might encounter animals along the course.

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<v Speaker 1>DARPA had some professional drivers actually go down this course

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<v Speaker 1>after it had been established to kind of give their

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<v Speaker 1>estimation of it, and they said it was fairly challenging

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<v Speaker 1>even for a professional trained off road driver. Any autonomous

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<v Speaker 1>car that was to complete this course was expected to

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<v Speaker 1>do so within ten hours of starting, so there's a

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<v Speaker 1>ten hour time limit essentially from start to finish. So

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<v Speaker 1>why did they make it so challenging. Well, keep in mind,

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<v Speaker 1>the ultimate goal of this and the following challenges was

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<v Speaker 1>to encourage the development of technology that would allow the

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<v Speaker 1>US military to build autonomous military vehicles. And the US

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<v Speaker 1>was and still is, heavily involved in operations in the

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<v Speaker 1>Middle East, and so the course was partly designed to

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<v Speaker 1>mimic the conditions that military vehicles might regularly encounter in

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<v Speaker 1>that part of the world. And while on a test

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<v Speaker 1>we might say, while that's really challenging, in a real

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<v Speaker 1>world scenario, we don't really. We can't change the parameters.

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<v Speaker 1>It's it is what it is. So it needed to

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<v Speaker 1>be really hard. It needed to be hard also to

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<v Speaker 1>spur on that innovation. The course would begin in Barstow, California,

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<v Speaker 1>and it would end in prem Nevada, passing through the

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<v Speaker 1>Mojave Desert. All right, I'm gonna talk about how this

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<v Speaker 1>challenge unfolded, but first let's take a quick break to

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<v Speaker 1>thank our sponsor. The teams had just one year to develop, build, test,

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<v Speaker 1>and complete their technologies. So, like I said, this was

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<v Speaker 1>an enormous challenge. Competing teams included universities, there were research facilities,

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<v Speaker 1>There are some company teams. There were even some high

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<v Speaker 1>school teams that applied. DARPA received one hundred six applications. Now,

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<v Speaker 1>not everyone who attended the kickoff event went through with

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<v Speaker 1>the step of applying, and the rules did restrict who

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<v Speaker 1>could participate. They said US federal government organizations could not

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<v Speaker 1>participate in this event. Federal employees could participate, but only

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<v Speaker 1>as a private citizen on a team. They could not

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<v Speaker 1>represent a federally backed team. Federal funding wasn't allowed either,

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<v Speaker 1>and teams were prohibited from using government owned equipment, with

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<v Speaker 1>one exception, which was that if the government were to

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<v Speaker 1>offer equipment to all teams, that's fine, but no team

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<v Speaker 1>could just take advantage of government owned equipment if they

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<v Speaker 1>were the only team that had access to it. DARPA

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<v Speaker 1>set up a website for the competition that included a

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<v Speaker 1>forum and which interested parties could post questions. They could

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<v Speaker 1>share advice, They could share strategies for how they were

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<v Speaker 1>going to solve really hard problems like obstacle detection, path finding,

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<v Speaker 1>position location, the control software that would be needed for

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<v Speaker 1>the vehicle itself. Teams could also help each other find sponsors,

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<v Speaker 1>to help get money and funding to cover expenses, and

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<v Speaker 1>it sounds to me like it was a fairly collaborative

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<v Speaker 1>space despite the competitive nature of the objective. The general

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<v Speaker 1>strategy for most teams was to pair several technologies together

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<v Speaker 1>to create an autonomous car, so they weren't necessarily developing

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<v Speaker 1>all these tools themselves. In some cases, they were making

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<v Speaker 1>use of existing tools, so a lot of them would

0:14:53.920 --> 0:14:57.480
<v Speaker 1>use stuff like a GPS receiver. I've talked about GPS

0:14:57.600 --> 0:15:00.360
<v Speaker 1>extensively not too long ago, so I'm not going to

0:15:00.440 --> 0:15:05.200
<v Speaker 1>go over that again. Also optical sensors, so essentially cameras

0:15:05.200 --> 0:15:10.200
<v Speaker 1>and similar sensors, laser range finders, lidar systems, things like that.

0:15:10.680 --> 0:15:13.880
<v Speaker 1>Some teams spent most of their time developing the computer

0:15:13.920 --> 0:15:18.000
<v Speaker 1>programs that would make decisions based on the incoming data

0:15:18.080 --> 0:15:23.680
<v Speaker 1>from these various sensors, such as whether a vehicle should

0:15:23.680 --> 0:15:26.640
<v Speaker 1>accelerate to climb a steep hill or to break to

0:15:26.760 --> 0:15:29.400
<v Speaker 1>avoid going off the edge of the road, or to

0:15:29.560 --> 0:15:33.200
<v Speaker 1>steer in a particular direction. One team created a system

0:15:33.200 --> 0:15:36.120
<v Speaker 1>that used a voting mechanism to decide on what to

0:15:36.200 --> 0:15:39.880
<v Speaker 1>do at any given point, and it would wait various

0:15:39.920 --> 0:15:43.080
<v Speaker 1>factors in that decision making process so that the computer

0:15:43.160 --> 0:15:46.280
<v Speaker 1>could arrive at what it thought was the best course

0:15:46.320 --> 0:15:50.480
<v Speaker 1>of action for any given set of circumstances. DARPA chose

0:15:50.880 --> 0:15:55.320
<v Speaker 1>twenty five of the teams after reviewing their technical applications,

0:15:56.120 --> 0:15:59.720
<v Speaker 1>and immediately upon looking at the technical applications, they were

0:15:59.760 --> 0:16:03.080
<v Speaker 1>able to select nineteen teams by itself, They said, all right,

0:16:03.160 --> 0:16:08.880
<v Speaker 1>these nineteen really have a solid application. For the other six.

0:16:08.920 --> 0:16:12.760
<v Speaker 1>They visited several of those teams for site visits, kind

0:16:12.800 --> 0:16:14.600
<v Speaker 1>of to get an idea of how far along each

0:16:14.640 --> 0:16:18.360
<v Speaker 1>project was, how realistic the chances were that the team

0:16:18.440 --> 0:16:21.680
<v Speaker 1>was going to be ready by race time, and generally

0:16:21.680 --> 0:16:23.520
<v Speaker 1>just get a gut feeling for who had a real

0:16:23.680 --> 0:16:27.840
<v Speaker 1>chance to to do something special at this competition. The

0:16:27.840 --> 0:16:31.560
<v Speaker 1>teams were invited to a qualifying event at the California

0:16:31.600 --> 0:16:36.160
<v Speaker 1>Speedway in Fontana, California, and of the twenty five that

0:16:36.200 --> 0:16:40.320
<v Speaker 1>were selected, twenty one showed up. Four teams did not

0:16:40.520 --> 0:16:44.440
<v Speaker 1>make it to the qualifying event. The qualifying event tested

0:16:44.520 --> 0:16:49.960
<v Speaker 1>vehicles in many ways, including responsiveness, speed, safety. They went

0:16:50.000 --> 0:16:54.320
<v Speaker 1>through some areas that would simulate what the cars would

0:16:54.400 --> 0:16:59.320
<v Speaker 1>encounter on the actual race. Only seven teams were actually

0:16:59.360 --> 0:17:03.000
<v Speaker 1>able to navig Gate the full qualifier, but DARPA selected

0:17:03.040 --> 0:17:05.880
<v Speaker 1>another eight on top of the seven that made it through.

0:17:06.400 --> 0:17:09.639
<v Speaker 1>They were close enough for consideration, and so the on

0:17:10.160 --> 0:17:13.920
<v Speaker 1>plus teams that had applied the competition was narrowed down

0:17:13.960 --> 0:17:18.000
<v Speaker 1>to fifteen teams. For the big race itself, DARPA had

0:17:18.080 --> 0:17:22.159
<v Speaker 1>some other special rules. One was that each team would

0:17:22.160 --> 0:17:25.840
<v Speaker 1>not be given any information about the course until about

0:17:25.920 --> 0:17:29.520
<v Speaker 1>two hours before the actual start time. Another was that

0:17:30.119 --> 0:17:33.960
<v Speaker 1>a human driven chase vehicle would follow each of the

0:17:34.000 --> 0:17:37.560
<v Speaker 1>autonomous vehicles, and inside that chase vehicle there would be

0:17:37.560 --> 0:17:40.800
<v Speaker 1>a laptop operated by a team member that would allow

0:17:40.880 --> 0:17:44.959
<v Speaker 1>them to activate a kill switch. So if an autonomous

0:17:45.000 --> 0:17:48.320
<v Speaker 1>car or motorcycle more on that in a second where

0:17:48.359 --> 0:17:51.400
<v Speaker 1>to go nuts, start careening off course and driving out

0:17:51.400 --> 0:17:54.399
<v Speaker 1>of control, a human in the chase vehicle could hit

0:17:54.400 --> 0:17:57.680
<v Speaker 1>the kill switch and that would shut down the target

0:17:57.800 --> 0:18:01.639
<v Speaker 1>vehicle before any real calamity could occur. The cars weren't

0:18:01.640 --> 0:18:03.920
<v Speaker 1>meant all to leave at the same time. It wasn't

0:18:03.960 --> 0:18:06.600
<v Speaker 1>like that kind of race where they all lined up

0:18:06.640 --> 0:18:10.200
<v Speaker 1>and then the flag dropped. There was a staggered departure

0:18:10.240 --> 0:18:13.119
<v Speaker 1>time UH, and it was staggered by several minutes so

0:18:13.200 --> 0:18:16.399
<v Speaker 1>the goal was to have the fastest time from start

0:18:16.440 --> 0:18:20.399
<v Speaker 1>to finish, but not necessarily to physically race against another

0:18:20.480 --> 0:18:24.680
<v Speaker 1>vehicle in real time, although there was the potential that

0:18:25.000 --> 0:18:27.600
<v Speaker 1>a car could catch up with whichever vehicles were in

0:18:27.640 --> 0:18:29.639
<v Speaker 1>front of it and pass it that way, that was

0:18:29.680 --> 0:18:35.320
<v Speaker 1>a possibility. DARPA told CNN that about five people were

0:18:35.400 --> 0:18:38.960
<v Speaker 1>working on the race in total, some of them were volunteers,

0:18:39.040 --> 0:18:42.160
<v Speaker 1>some of them were DARPEST staff members, and that the

0:18:42.280 --> 0:18:47.600
<v Speaker 1>race also employed several wreckers tow trucks. Essentially, so if

0:18:47.720 --> 0:18:50.760
<v Speaker 1>vehicles got stuck, a wrecker could come in and pull

0:18:50.840 --> 0:18:54.440
<v Speaker 1>them out of the way, and that vehicle would obviously

0:18:54.480 --> 0:18:59.720
<v Speaker 1>be uh. It would be eliminated from the race. Uh

0:18:59.760 --> 0:19:02.960
<v Speaker 1>and whoever pass that finished line in the shortest amount

0:19:03.000 --> 0:19:05.560
<v Speaker 1>of time would walk away with a cool one million

0:19:05.640 --> 0:19:08.760
<v Speaker 1>dollars in prize money. Now, one of the participants in

0:19:08.760 --> 0:19:11.720
<v Speaker 1>this race, just as a moment of interest here was

0:19:11.760 --> 0:19:15.800
<v Speaker 1>a guy named Anthony Lewandowski. And I've talked about Lewandowski

0:19:15.960 --> 0:19:18.120
<v Speaker 1>in tech stuff. I think it was a year ago

0:19:18.160 --> 0:19:21.920
<v Speaker 1>when I was talking about Lewandowski. His approach was unique

0:19:21.960 --> 0:19:25.520
<v Speaker 1>in that he brought a self balancing motorcycle to the

0:19:25.600 --> 0:19:30.560
<v Speaker 1>event rather than a four wheeled vehicle. Lewandowski became somewhat

0:19:30.680 --> 0:19:36.560
<v Speaker 1>infamous for departing Google he worked in their autonomous vehicle

0:19:36.960 --> 0:19:40.120
<v Speaker 1>department and then going to work for Uber and then

0:19:40.160 --> 0:19:45.840
<v Speaker 1>allegedly bringing along with him some proprietary information from Google.

0:19:46.680 --> 0:19:49.080
<v Speaker 1>So that was what I was talking about the last

0:19:49.080 --> 0:19:53.160
<v Speaker 1>time I chatted about Lewandowski. The fifteen teams, in order

0:19:53.280 --> 0:19:57.080
<v Speaker 1>of their start time were the Red Team from Carnegie

0:19:57.119 --> 0:20:03.160
<v Speaker 1>Mellon University, PSI Autonics two from Thousand Oaks, California, Team

0:20:03.280 --> 0:20:09.080
<v Speaker 1>cal Tech from California Technical University, Digital Auto Drive or

0:20:09.240 --> 0:20:14.760
<v Speaker 1>Dad from Morgan Hill, California, Virginia Tech which is from Virginia,

0:20:15.240 --> 0:20:20.560
<v Speaker 1>Axion Racing from Westlake Village, California, Team Cajun Bot which

0:20:20.640 --> 0:20:25.359
<v Speaker 1>might have my favorite name there from Lafayette, Louisiana, Team

0:20:25.480 --> 0:20:30.439
<v Speaker 1>Endsco from Falls Church, Virginia, Team SIMAR that's see I

0:20:30.800 --> 0:20:33.399
<v Speaker 1>M A R from Gainesville, Florida, and Logan, Utah. It

0:20:33.440 --> 0:20:37.760
<v Speaker 1>was a joint project the Palos Verdes High School Road

0:20:37.800 --> 0:20:42.280
<v Speaker 1>Warriors from Palace Very Days Estates, California, PSI A Tonics

0:20:42.400 --> 0:20:46.760
<v Speaker 1>one from Thousand Oaks, so they actually left the starting

0:20:46.800 --> 0:20:51.520
<v Speaker 1>line well after PSI A Tonics too uh. Team Tera

0:20:51.600 --> 0:20:56.520
<v Speaker 1>Max from Oshkosh, Wisconsin, Team Tara Hawk from Guardina, California,

0:20:56.840 --> 0:21:00.359
<v Speaker 1>the Golem Group from Santa Monica, California, and the Blue

0:21:00.359 --> 0:21:04.080
<v Speaker 1>Team from Berkeley, California. At six thirty in the morning

0:21:04.520 --> 0:21:09.439
<v Speaker 1>on Saturday, March two thousand four, the Red Team's vehicle

0:21:09.640 --> 0:21:13.680
<v Speaker 1>called Sandstorm so It's a Sandstorm from Carnegie Mellon became

0:21:13.720 --> 0:21:17.160
<v Speaker 1>the first of the driver lest cars to tackle this course. Now,

0:21:17.240 --> 0:21:20.480
<v Speaker 1>it would get about seven and a half miles down

0:21:20.520 --> 0:21:23.320
<v Speaker 1>the road, but then it got stuck while trying to

0:21:23.400 --> 0:21:28.240
<v Speaker 1>navigate a tight switchback. It was the most successful of

0:21:28.280 --> 0:21:31.119
<v Speaker 1>all the vehicles, seven and a half miles out of

0:21:31.119 --> 0:21:35.119
<v Speaker 1>a forty two So out of the fifteen cars that

0:21:35.680 --> 0:21:39.080
<v Speaker 1>made it through to the competition, two of them withdrew

0:21:39.280 --> 0:21:41.199
<v Speaker 1>prior to the start of the race. That would be

0:21:41.200 --> 0:21:44.520
<v Speaker 1>Tara Hawk and Blue Team. Four of them didn't make

0:21:44.520 --> 0:21:47.360
<v Speaker 1>it out of the starting area because of various problems

0:21:47.480 --> 0:21:51.280
<v Speaker 1>ranging from steering abnormalities to colliding with wall, which I

0:21:51.280 --> 0:21:54.960
<v Speaker 1>guess in its way as its own steering abnormality. Then

0:21:55.000 --> 0:21:57.480
<v Speaker 1>you had Team Ends Goes vehicle which made it point

0:21:57.520 --> 0:22:02.000
<v Speaker 1>two miles before it flipped over. Team Simar's car got

0:22:02.040 --> 0:22:05.800
<v Speaker 1>tangled up by wire. Half a mile in the Golden

0:22:05.840 --> 0:22:08.960
<v Speaker 1>Group's vehicle got stuck on an incline and couldn't provide

0:22:09.040 --> 0:22:12.600
<v Speaker 1>enough throttle to overcome it. Team Terra Max's vehicle kept

0:22:12.600 --> 0:22:16.159
<v Speaker 1>detecting bushes and eventually just stopped moving forward after it

0:22:16.480 --> 0:22:20.359
<v Speaker 1>thought that there were bushes everywhere. I guess wouldn't budge.

0:22:20.800 --> 0:22:23.200
<v Speaker 1>Team cal Tex car went off course and through a

0:22:23.200 --> 0:22:25.480
<v Speaker 1>fence and could not get back on course, and so

0:22:25.520 --> 0:22:28.960
<v Speaker 1>it was disqualified. So none of the vehicles were able

0:22:29.000 --> 0:22:32.399
<v Speaker 1>to complete this on two mile course, not by a

0:22:32.520 --> 0:22:37.879
<v Speaker 1>long shot. No one collected the million dollars. But DARPA

0:22:38.000 --> 0:22:40.600
<v Speaker 1>wasn't about to give up there. For one thing, the

0:22:40.640 --> 0:22:46.280
<v Speaker 1>agency had created an incredibly ambitious challenge, a really hard one,

0:22:46.720 --> 0:22:49.800
<v Speaker 1>and for another, the teams were learning from their mistakes,

0:22:50.200 --> 0:22:53.600
<v Speaker 1>and so DARPA chose to announce a second challenge that

0:22:53.600 --> 0:22:56.560
<v Speaker 1>would take place in two thousand five. It would double

0:22:56.760 --> 0:23:00.359
<v Speaker 1>the prize money to two million dollars and the ameters

0:23:00.359 --> 0:23:03.320
<v Speaker 1>of the challenge would change slightly. Now, according to the

0:23:03.359 --> 0:23:06.920
<v Speaker 1>final report for the two thousand four challenge, the agency

0:23:07.040 --> 0:23:10.800
<v Speaker 1>quote believes it prudent to continue with the prize authority

0:23:10.840 --> 0:23:14.960
<v Speaker 1>approach and hold a second Grand Challenge for autonomous unmanned

0:23:15.200 --> 0:23:18.560
<v Speaker 1>ground vehicles in two thousand five. The prize authority approach

0:23:18.680 --> 0:23:21.600
<v Speaker 1>is meeting the goals of attracting new talent with new

0:23:21.640 --> 0:23:26.439
<v Speaker 1>ideas and accelerating advancement in robotic vehicle research. Without the

0:23:26.480 --> 0:23:29.119
<v Speaker 1>Grand Challenge, it is doubtful there would be much progress

0:23:29.119 --> 0:23:33.040
<v Speaker 1>without substantial new investment in accelerating research on autonomous ground

0:23:33.080 --> 0:23:37.440
<v Speaker 1>vehicles that could traverse difficult terrain at militarily relevant speeds

0:23:37.680 --> 0:23:42.320
<v Speaker 1>end quote. So how did that turn out? Well, I'll

0:23:42.320 --> 0:23:46.320
<v Speaker 1>tell you. First thing, get a drink of water, and

0:23:46.320 --> 0:23:56.880
<v Speaker 1>we're gonna thanks O our sponsors here. As Anthony Tether

0:23:57.040 --> 0:23:59.760
<v Speaker 1>would say later, the thing to remember was the two

0:23:59.760 --> 0:24:02.400
<v Speaker 1>thous and four Grand Challenge was something new. It had

0:24:02.440 --> 0:24:05.080
<v Speaker 1>never been done before, and it was an engineering challenge

0:24:05.119 --> 0:24:07.800
<v Speaker 1>open to anyone, and teams that were able to meet

0:24:07.800 --> 0:24:11.920
<v Speaker 1>the selection criteria were able to participate. So while there

0:24:12.119 --> 0:24:14.919
<v Speaker 1>was disappointment when no car was able to make it

0:24:14.960 --> 0:24:18.040
<v Speaker 1>over the big hill that Sandstorm got stuck on, it

0:24:18.080 --> 0:24:22.320
<v Speaker 1>didn't diminish the excitement for a second Grand Challenge. Returning

0:24:22.359 --> 0:24:25.280
<v Speaker 1>teams were energized by the need to outperform their previous

0:24:25.320 --> 0:24:29.440
<v Speaker 1>attempts and new teams came forward inspired by the original challenge.

0:24:29.520 --> 0:24:32.480
<v Speaker 1>So while it could have been the needle that would

0:24:32.560 --> 0:24:37.240
<v Speaker 1>deflate the autonomous balloon could lead to another artificial intelligence winter.

0:24:37.440 --> 0:24:39.840
<v Speaker 1>Like I said in the last episode, it actually got

0:24:39.840 --> 0:24:44.320
<v Speaker 1>more people excited about those possibilities. So in August two

0:24:44.320 --> 0:24:48.560
<v Speaker 1>thousand four, DARPA held another participants conference for parties that

0:24:48.600 --> 0:24:51.840
<v Speaker 1>were interested in either participating or sponsoring a team. Now,

0:24:51.880 --> 0:24:55.120
<v Speaker 1>remember it just held the Grand Challenge in March. Now

0:24:55.160 --> 0:24:57.680
<v Speaker 1>it's August and they're ready to talk about the next one.

0:24:57.920 --> 0:25:01.000
<v Speaker 1>The new challenge was scheduled for October eight, two thousand five,

0:25:01.440 --> 0:25:04.359
<v Speaker 1>and the rules allowed for flexible starting time, So if

0:25:04.400 --> 0:25:07.359
<v Speaker 1>the weather was bad or other conditions were such that

0:25:07.840 --> 0:25:10.160
<v Speaker 1>you couldn't really start in October eight, you would start

0:25:10.200 --> 0:25:13.040
<v Speaker 1>the next day or the next up to October eighth,

0:25:13.119 --> 0:25:15.600
<v Speaker 1>two thousand five. If it kept missing it up to

0:25:15.600 --> 0:25:18.000
<v Speaker 1>that point, the whole thing would be canceled. Now, according

0:25:18.040 --> 0:25:20.280
<v Speaker 1>to the rules, they said the route would be quote

0:25:20.320 --> 0:25:23.879
<v Speaker 1>no longer than one miles end quote. I guess that

0:25:23.960 --> 0:25:26.280
<v Speaker 1>was a relief since no one got past seven and

0:25:26.320 --> 0:25:28.600
<v Speaker 1>a half miles in the first one, and also said

0:25:28.600 --> 0:25:33.440
<v Speaker 1>the route would include quote paved roads, unpaved roads, trails,

0:25:33.720 --> 0:25:39.240
<v Speaker 1>and off road desert areas. Examples of obstacles include ditches, berms, washboard,

0:25:39.400 --> 0:25:45.160
<v Speaker 1>sandy ground, standing water, rocks and boulders, narrow underpasses, construction equipment,

0:25:45.440 --> 0:25:50.280
<v Speaker 1>concrete safety rails, power line towers, barbed wire fences, and

0:25:50.480 --> 0:25:54.480
<v Speaker 1>cattle guards end quote. The rules also stated that DARPA

0:25:54.520 --> 0:25:58.680
<v Speaker 1>could introduce obstacles onto the course. They could purposefully put

0:25:58.760 --> 0:26:01.400
<v Speaker 1>some obstacles in the way, but that the route would

0:26:01.400 --> 0:26:04.159
<v Speaker 1>be wide enough so that a vehicle could bypass the

0:26:04.200 --> 0:26:06.600
<v Speaker 1>obstacles without going off course. So they weren't going to

0:26:06.760 --> 0:26:10.440
<v Speaker 1>block a road entirely, but they would at least partially

0:26:10.440 --> 0:26:13.960
<v Speaker 1>block the road in certain locations. Now, if you want

0:26:14.040 --> 0:26:17.960
<v Speaker 1>proof that the two thousand four challenge did not discourage

0:26:17.960 --> 0:26:20.560
<v Speaker 1>IT participants, you just have to look at how many

0:26:20.600 --> 0:26:23.399
<v Speaker 1>people and teams applied to be part of the two

0:26:23.440 --> 0:26:26.800
<v Speaker 1>thousand five challenge. There were a hundred six people or

0:26:26.840 --> 0:26:29.119
<v Speaker 1>teams that applied in two thousand four and two thousand

0:26:29.119 --> 0:26:33.120
<v Speaker 1>five it was one hundred nine five teams, nearly twice

0:26:33.160 --> 0:26:36.240
<v Speaker 1>as many that showed interest the year before. Out of

0:26:36.240 --> 0:26:41.800
<v Speaker 1>those on DARPAT selected one eighteen teams for site visits.

0:26:42.359 --> 0:26:46.360
<v Speaker 1>Out of those on eighteen, they chose forty that were

0:26:46.400 --> 0:26:50.080
<v Speaker 1>selected to go on to the national qualification event, and

0:26:50.119 --> 0:26:54.000
<v Speaker 1>then they picked three more alternate teams that were added

0:26:54.000 --> 0:26:57.200
<v Speaker 1>in August two thousand five. Now, like the two thousand

0:26:57.240 --> 0:27:00.400
<v Speaker 1>four qualifying event, this one was designed to sim relates

0:27:00.400 --> 0:27:03.080
<v Speaker 1>some of the conditions for the final race, with the

0:27:03.119 --> 0:27:06.320
<v Speaker 1>goal of reducing the number of competitors to the top

0:27:06.440 --> 0:27:09.879
<v Speaker 1>twenty teams. All but one of the teams passed the

0:27:09.920 --> 0:27:13.640
<v Speaker 1>initial technical inspections to make certain the vehicles met all

0:27:13.720 --> 0:27:17.399
<v Speaker 1>the safety and performance parameters, and according to a news

0:27:17.440 --> 0:27:21.640
<v Speaker 1>release from October two thousand five, twenty two robotic vehicles

0:27:21.640 --> 0:27:24.119
<v Speaker 1>were able to get through the obstacle course designed to

0:27:24.200 --> 0:27:28.680
<v Speaker 1>simulate the final race. DARPA actually would select twenty three

0:27:28.680 --> 0:27:32.199
<v Speaker 1>teams to compete on the day of the race. They

0:27:32.240 --> 0:27:36.600
<v Speaker 1>included returning teams like Cajun Butt, cal Tech, and Team Dad,

0:27:37.080 --> 0:27:40.080
<v Speaker 1>and there were new teams to like Team Cornell, Desert

0:27:40.119 --> 0:27:45.320
<v Speaker 1>Buck Eyes, the Gray Team, Insight Racing, and Stanford Racing Team.

0:27:45.440 --> 0:27:48.960
<v Speaker 1>The final course for the two thousand five Challenge was

0:27:49.080 --> 0:27:52.200
<v Speaker 1>one thirty one point two miles, which is about two

0:27:52.240 --> 0:27:56.360
<v Speaker 1>hundred eleven kilometers. Out of the twenty three competing teams,

0:27:56.880 --> 0:28:01.080
<v Speaker 1>five teams finished the full course. Only four of them

0:28:01.119 --> 0:28:04.800
<v Speaker 1>did so within the ten hour time limit. The Terra Max,

0:28:04.840 --> 0:28:08.479
<v Speaker 1>which was fifth place, would finish in twelve hours fifty

0:28:08.480 --> 0:28:10.520
<v Speaker 1>one minutes, so it took a little too long to

0:28:11.119 --> 0:28:13.879
<v Speaker 1>make that ten hour time limit, but it's still finished.

0:28:14.359 --> 0:28:18.600
<v Speaker 1>All the other vehicles experienced either mechanical or software failures

0:28:18.640 --> 0:28:22.040
<v Speaker 1>somewhere along the route and we're unable to complete the

0:28:22.119 --> 0:28:25.440
<v Speaker 1>full course. The winning team of the two thousand five

0:28:25.520 --> 0:28:30.600
<v Speaker 1>challenge was the Stanford Racing Team and their vehicle named Stanley.

0:28:30.880 --> 0:28:34.840
<v Speaker 1>The average speed for Stanley was nineteen point one miles

0:28:34.840 --> 0:28:37.639
<v Speaker 1>per hour, which is about thirty one kilometers per hour.

0:28:38.200 --> 0:28:40.960
<v Speaker 1>Stanley was built on top of a Volkswagen tou Egg,

0:28:41.480 --> 0:28:45.280
<v Speaker 1>which could be largely operated by an onboard computer by

0:28:45.480 --> 0:28:49.720
<v Speaker 1>linking it to the vehicle's electrical system. However, they did

0:28:49.760 --> 0:28:53.479
<v Speaker 1>still have electro mechanical parts to operate the steering and

0:28:53.600 --> 0:28:58.040
<v Speaker 1>the gearshift, so it wasn't all done purely electronically yet.

0:28:58.480 --> 0:29:02.200
<v Speaker 1>Stanley had five lie Dar units that could gather data

0:29:02.480 --> 0:29:05.160
<v Speaker 1>for the vehicle's computer to build out a three dimensional

0:29:05.240 --> 0:29:08.640
<v Speaker 1>map of its surroundings and pair that with GPS information,

0:29:09.160 --> 0:29:12.920
<v Speaker 1>and there was some other positional equipment aboard Stanley as

0:29:12.960 --> 0:29:16.880
<v Speaker 1>well to help supplement the information gathered by the GPS receiver.

0:29:17.360 --> 0:29:21.480
<v Speaker 1>The computer system operated on Lenox, so Lenox fans out there,

0:29:22.160 --> 0:29:25.520
<v Speaker 1>that was the computer system that was running on Stanley.

0:29:25.560 --> 0:29:28.440
<v Speaker 1>According to Stanford, the code for the vehicle's behavior consisted

0:29:28.480 --> 0:29:32.120
<v Speaker 1>of a hundred thousand lines, and it's decision making process

0:29:32.160 --> 0:29:35.880
<v Speaker 1>was guided by machine learning. The team completed the course

0:29:36.240 --> 0:29:40.400
<v Speaker 1>in six hours fifty four minutes, and that meant that

0:29:40.480 --> 0:29:43.680
<v Speaker 1>they came in about eleven minutes ahead of second place.

0:29:44.120 --> 0:29:48.400
<v Speaker 1>Second place went to Red Team's Sandstorm vehicle. Again, that's

0:29:48.400 --> 0:29:51.600
<v Speaker 1>Carnegie Mellon University, and they were the one who once

0:29:51.640 --> 0:29:55.120
<v Speaker 1>who got the furthest the year before. But Red Team

0:29:55.120 --> 0:29:58.040
<v Speaker 1>had also fielded another card. They didn't just put in one,

0:29:58.120 --> 0:30:02.040
<v Speaker 1>they put in two, and the one was called Highlander

0:30:02.360 --> 0:30:05.480
<v Speaker 1>with a one in place of the eye. I guess

0:30:05.520 --> 0:30:08.840
<v Speaker 1>there can be only one, but anyway, they put forward

0:30:08.960 --> 0:30:11.560
<v Speaker 1>Highlander as well. That one came in third place, so

0:30:11.640 --> 0:30:15.120
<v Speaker 1>Carnegie Melon took second and third place. It was nine

0:30:15.160 --> 0:30:19.280
<v Speaker 1>minutes slower than Sandstorm, so it was about twenty minutes

0:30:19.360 --> 0:30:25.120
<v Speaker 1>behind the first place winner. Now interesting side note about Highlander.

0:30:25.880 --> 0:30:30.880
<v Speaker 1>Initially it was making great time, like really really good time.

0:30:30.960 --> 0:30:33.360
<v Speaker 1>It was on track to win the whole darn thing.

0:30:33.960 --> 0:30:37.720
<v Speaker 1>But about two hours after starting the race, the vehicle's

0:30:37.800 --> 0:30:40.960
<v Speaker 1>engine began to sputter a bit, and it struggled anytime

0:30:41.000 --> 0:30:43.360
<v Speaker 1>it hit a steep climb, and it was never able

0:30:43.400 --> 0:30:45.440
<v Speaker 1>to get up to full speed even on a flat

0:30:45.760 --> 0:30:50.680
<v Speaker 1>or or declined surface. So the Carnegie Melon team was

0:30:50.720 --> 0:30:53.440
<v Speaker 1>really curious. They were wondering what the heck was going wrong,

0:30:54.040 --> 0:30:56.320
<v Speaker 1>and they tried to figure out what happened at the

0:30:56.400 --> 0:30:58.800
<v Speaker 1>end of the race. They weren't really able to nail

0:30:58.800 --> 0:31:01.720
<v Speaker 1>it down at that point. They checked the fuel. The

0:31:01.760 --> 0:31:05.400
<v Speaker 1>fuel was fine. It wasn't contaminated or old or anything

0:31:05.440 --> 0:31:07.640
<v Speaker 1>like that. The oil was fine. The engine appeared to

0:31:07.680 --> 0:31:10.720
<v Speaker 1>work just fine from a cold start, and it wouldn't

0:31:10.720 --> 0:31:14.520
<v Speaker 1>be more. It would take more than a decade before

0:31:14.520 --> 0:31:17.000
<v Speaker 1>they figured out what had gone wrong, and it was

0:31:17.120 --> 0:31:20.200
<v Speaker 1>just by luck that they figured it out. Now, this

0:31:20.280 --> 0:31:23.160
<v Speaker 1>is going to include a spoiler, but it's a spoiler

0:31:23.200 --> 0:31:25.160
<v Speaker 1>for something that happened in two thousand seven, So I

0:31:25.160 --> 0:31:29.040
<v Speaker 1>don't think it's really that big a deal. In Carnegie

0:31:29.080 --> 0:31:33.040
<v Speaker 1>Mellon University was celebrating the tenth anniversary of the team's

0:31:33.240 --> 0:31:36.880
<v Speaker 1>DARPA Urban Challenge win from two thousand seven, and I'll

0:31:36.920 --> 0:31:39.480
<v Speaker 1>be talking about the DARPA Urban Challenge in our next

0:31:39.520 --> 0:31:43.160
<v Speaker 1>episode well. As part of this celebration, they brought out

0:31:43.320 --> 0:31:47.760
<v Speaker 1>Sandstorm and Highlander from storage. The two vehicles had been

0:31:48.400 --> 0:31:52.000
<v Speaker 1>stored away, but they still existed while they were doing it.

0:31:52.600 --> 0:31:55.320
<v Speaker 1>Spencer Spiker, who was part of the team working on this,

0:31:56.120 --> 0:32:00.240
<v Speaker 1>was running some diagnostics on the Highlander engine it was

0:32:00.360 --> 0:32:03.560
<v Speaker 1>running at the time, and as it was going through

0:32:03.560 --> 0:32:06.880
<v Speaker 1>this process, he was leaning against the vehicle and the

0:32:06.880 --> 0:32:09.800
<v Speaker 1>engine began to sputter, and when he moved away, the

0:32:09.840 --> 0:32:12.960
<v Speaker 1>engine started to pick up again, and he realized that

0:32:13.040 --> 0:32:16.320
<v Speaker 1>there was a little box that if there was pressure

0:32:16.360 --> 0:32:18.880
<v Speaker 1>put on that little box, it started to cause the

0:32:18.880 --> 0:32:21.520
<v Speaker 1>engine to die. That little box turned out to be

0:32:21.560 --> 0:32:24.479
<v Speaker 1>a filter that sat between the car's engine control module

0:32:24.880 --> 0:32:27.520
<v Speaker 1>and the fuel injectors, and he found out that if

0:32:27.560 --> 0:32:30.000
<v Speaker 1>there were any pressure put on that filter, it was

0:32:30.040 --> 0:32:33.440
<v Speaker 1>causing the engine to lose power. And leading up to

0:32:33.480 --> 0:32:36.600
<v Speaker 1>the Grand Challenge, there was an incident that may have

0:32:37.640 --> 0:32:42.280
<v Speaker 1>caused this problem. The Highlander had been going through a

0:32:43.280 --> 0:32:47.520
<v Speaker 1>uh kind of a routine training exercise, and as it

0:32:47.600 --> 0:32:50.600
<v Speaker 1>was doing so, it got too far over to one

0:32:50.720 --> 0:32:53.560
<v Speaker 1>edge of a sloped path and it slid off that

0:32:53.600 --> 0:32:58.240
<v Speaker 1>sloped path and it actually flipped over. Now, apparently that accident,

0:32:58.240 --> 0:33:01.080
<v Speaker 1>which appeared to be minor, it didn't seem like it

0:33:01.200 --> 0:33:05.120
<v Speaker 1>had caused that much damage, had actually bent this little box,

0:33:05.200 --> 0:33:08.840
<v Speaker 1>this filter in such a way that because of its

0:33:08.840 --> 0:33:12.840
<v Speaker 1>contact with the engine, was causing failure under the right conditions,

0:33:12.840 --> 0:33:15.040
<v Speaker 1>such as when pressure was put on it or when

0:33:15.040 --> 0:33:18.880
<v Speaker 1>it would expand from engine heat. And so the Highlander,

0:33:19.360 --> 0:33:21.760
<v Speaker 1>after it would start to heat up, would start to

0:33:21.880 --> 0:33:26.080
<v Speaker 1>lose performance, and it lost time during the Grand Challenge,

0:33:26.080 --> 0:33:29.240
<v Speaker 1>about forty minutes worth of time according to most estimates,

0:33:29.560 --> 0:33:31.440
<v Speaker 1>which would have made all the difference. It would have

0:33:31.480 --> 0:33:34.120
<v Speaker 1>come in first place by twenty minutes if that had

0:33:34.160 --> 0:33:37.880
<v Speaker 1>not happened. So it may have won if it hadn't

0:33:37.920 --> 0:33:41.800
<v Speaker 1>been for that accident that had happened earlier. Making things

0:33:41.800 --> 0:33:45.200
<v Speaker 1>even more juicy is that the leader of the Standard

0:33:45.200 --> 0:33:49.800
<v Speaker 1>team that did win was Sebastian Throne, who had previously

0:33:49.880 --> 0:33:54.080
<v Speaker 1>served as a member of the faculty at Carnegie Mellon University.

0:33:54.120 --> 0:33:57.240
<v Speaker 1>He was In fact, a colleague of the head of

0:33:57.320 --> 0:34:01.640
<v Speaker 1>CMUs team read Whittaker, So the Red team's Red Whittaker,

0:34:02.200 --> 0:34:05.640
<v Speaker 1>the Carnegie Mellon University team leader used to work with

0:34:05.680 --> 0:34:08.759
<v Speaker 1>the guy who led the Stanford team, So there was

0:34:08.800 --> 0:34:12.479
<v Speaker 1>some rivalry going on there, although from what I've read,

0:34:12.600 --> 0:34:14.880
<v Speaker 1>it sounds like it was all very good natured rivalry.

0:34:14.920 --> 0:34:17.520
<v Speaker 1>It wasn't like it was super bitter or anything. Now,

0:34:17.520 --> 0:34:21.520
<v Speaker 1>the nice thing is no one seems particularly mad that

0:34:21.640 --> 0:34:24.120
<v Speaker 1>this happened. It's the sort of thing that can happen

0:34:24.160 --> 0:34:28.360
<v Speaker 1>with mechanical systems in general. And ultimately, Carnegie Mellon University

0:34:28.400 --> 0:34:31.279
<v Speaker 1>would do very well in the next Grand Challenge. But

0:34:31.320 --> 0:34:33.480
<v Speaker 1>that's a story we're going to cover in our next episode.

0:34:34.360 --> 0:34:39.000
<v Speaker 1>Darpest statement was pretty darn positive. Quote. The Grand Challenge

0:34:39.120 --> 0:34:44.839
<v Speaker 1>stimulated the creation of a new community of innovators, inventors, mechanics,

0:34:45.080 --> 0:34:49.680
<v Speaker 1>computer scientists, engineers, and students who typically have not been

0:34:49.719 --> 0:34:54.520
<v Speaker 1>involved in defense related activities. The camaraderie and competitiveness that

0:34:54.600 --> 0:34:57.160
<v Speaker 1>have been the hallmark of the Grand Challenge since its

0:34:57.160 --> 0:35:02.080
<v Speaker 1>inception demonstrates that America's heritage of ingenuity and resourcefulness is

0:35:02.280 --> 0:35:06.080
<v Speaker 1>strong end quote. Now, in our next episode, we're gonna

0:35:06.120 --> 0:35:09.040
<v Speaker 1>look at the Urban Grand Challenge of two thousand seven

0:35:09.400 --> 0:35:13.320
<v Speaker 1>and how these competitions lead into the autonomous car environment

0:35:13.360 --> 0:35:16.040
<v Speaker 1>that we are in today. And we'll also talk about

0:35:16.080 --> 0:35:19.120
<v Speaker 1>some of the most difficult challenges we face, both technical

0:35:19.239 --> 0:35:23.000
<v Speaker 1>and ethical. And we'll also talk about the pros and

0:35:23.080 --> 0:35:26.200
<v Speaker 1>cons of driver list cars in our upcoming episodes, so

0:35:26.239 --> 0:35:27.960
<v Speaker 1>I hope you look forward to those. It's been a

0:35:27.960 --> 0:35:30.320
<v Speaker 1>lot of fun kind of going back through the history

0:35:30.440 --> 0:35:34.120
<v Speaker 1>and seeing what has led up to what we see today.

0:35:34.400 --> 0:35:38.040
<v Speaker 1>It's really fascinating to me to see the the transition

0:35:38.080 --> 0:35:42.120
<v Speaker 1>away from a world where all of the autonomous nature

0:35:42.200 --> 0:35:46.040
<v Speaker 1>of cars is built into the infrastructure surrounding cars to

0:35:46.239 --> 0:35:50.560
<v Speaker 1>one where it's largely built into the vehicles themselves, and

0:35:50.680 --> 0:35:55.400
<v Speaker 1>mostly because the Department of Defense needed innovation in that

0:35:55.520 --> 0:35:58.680
<v Speaker 1>space in order to meet a deadline to have one

0:35:58.719 --> 0:36:02.839
<v Speaker 1>third of all ground military combat vehicles automated by two

0:36:03.239 --> 0:36:06.480
<v Speaker 1>fift we'll talk more about that as well in an

0:36:06.560 --> 0:36:09.960
<v Speaker 1>upcoming episode. For the time being, if you guys have

0:36:10.000 --> 0:36:13.400
<v Speaker 1>any suggestions for future episodes, or you've got any suggestions

0:36:13.400 --> 0:36:16.120
<v Speaker 1>for people I should have on the show, or maybe

0:36:16.480 --> 0:36:18.759
<v Speaker 1>there's just a topic that you've always wanted to know

0:36:18.840 --> 0:36:21.600
<v Speaker 1>about Send me a message. The email address for the

0:36:21.640 --> 0:36:26.200
<v Speaker 1>show is tech Stuff at how stuff works dot com.

0:36:26.320 --> 0:36:29.280
<v Speaker 1>Or pop on over to our website that's tech Stuff

0:36:29.400 --> 0:36:33.560
<v Speaker 1>podcast dot com. You'll find other ways to contact me there.

0:36:33.960 --> 0:36:36.080
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0:36:36.120 --> 0:36:38.520
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0:36:38.600 --> 0:36:42.120
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0:36:44.560 --> 0:36:47.920
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0:36:51.040 --> 0:36:53.439
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0:36:55.680 --> 0:36:57.640
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0:36:57.680 --> 0:37:00.000
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0:37:00.600 --> 0:37:08.680
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0:37:08.719 --> 0:37:11.040
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