A friendly, autonomous robot that delivers your food | Ali Kashani

60,673 views ・ 2020-07-28

TED


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翻译人员: Mariam Omar 校对人员: Wanting Zhong
00:13
Food delivery.
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外卖:
00:14
It's the thing that saves millennials from starvation.
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它让千禧一代免于挨饿。
00:18
By my calculations,
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根据我的计算,
00:20
Americans order over 20 million restaurant deliveries
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美国人每天会订购
超过 2000 万份外卖。
00:23
every single day.
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00:26
Over half of these deliveries are actually within walking distance.
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这些外卖中超过半数 实际上在步行距离之内。
00:29
But nine out of 10 are delivered in cars.
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但十分之九是开车送达的。
00:33
So basically,
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也就是说,
00:35
we are moving a two-pound burrito
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我们每天在用两吨重的汽车
00:37
in a two-ton car
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将一公斤的墨西哥卷饼
00:39
20 million times a day.
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运送 2000 万次。
00:41
The energy to bring you that burrito
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为你送来墨西哥卷饼的能量
实际是用在了 为你送来一台两吨重的、
00:44
is actually bringing you a two-ton metal cage
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00:46
with heated seats.
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带加热座椅的金属笼子上。
00:48
Let's be honest.
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说实话,
00:49
We are addicted to our cars.
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我们沉迷于开车。
00:52
Did you know that in America,
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你是否知道在美国,
00:53
for every car, there are four parking spots?
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每辆车都有四个停车位?
00:57
In some downtowns,
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在某些市区,
00:58
over half of the real estate is for cars.
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一半以上的地产被用于停放汽车。
01:02
We have designed our cities around our cars,
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我们围绕汽车设计了城市,
01:05
because we drive whether we're going two miles
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因为无论要去 3 公里 还是 300 公里以外的地方,
01:08
or 200 miles.
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我们都会开车,
01:09
Solo, or with our whole family.
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无论是独自一人, 还是带上全家。
01:12
We get into the same SUV to go buy coffee or a coffee table.
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我们坐上同一辆 SUV 去买咖啡,或是咖啡桌。
01:18
If we could free up some of these streets and parking lots,
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如果我们能够腾出 其中一些街道和停车场,
01:20
we could build more housing,
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我们就可以修建更多的住房、
01:22
more social spaces, more parks.
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社交空间和公园。
01:24
But to do that,
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但是要做到这一点,
01:26
first, we need to rethink how we are using cars today.
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首先,我们需要重新思考 我们如今是如何使用汽车的。
01:29
In the city of the future,
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在未来的城市中,
01:31
if you want to go five blocks, you summon a bike or a scooter.
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如果想去五个街区之外, 你可以叫来一辆自行车或踏板车。
01:35
If you're in a rush, a passenger drone would pick you up.
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如果你赶时间, 可以让无人驾驶飞机来接你。
01:38
And if you need food, no need to have someone drive over --
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而如果你需要食物, 无需让人开车送过去——
01:41
the food will make its way to you.
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食物会自己来到你的身边。
01:44
Let's go back to those 20 million a day restaurant deliveries.
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让我们回到 每天 2000 万次的外卖上来。
01:48
If we could get these deliveries off the road,
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如果这些外卖不再通过开车送达,
01:51
we could reduce the need
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那么我们仅在美国就能减少
01:52
for as many as one and a half million cars just in the US.
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对多达 150 万辆汽车的需求,
01:57
That's twice the size of San Francisco.
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也就是旧金山车流量的两倍。
02:00
Now, think of the impact this could have on cities like Delhi,
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想象一下这会对德里 或我的出生地德黑兰这样的城市
02:04
or my birth city of Tehran,
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造成怎样的影响,
02:06
where car pollution is killing thousands of people every year.
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那里的汽车污染 每年都会令数千人死亡。
02:10
So how do we get some of these deliveries off the road?
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那么,我们如何才能 让其中部分外卖不再依靠车辆呢?
02:16
Well, that's the question
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这正是我和我的团队
02:18
that my team and I have been obsessed with over the last three years.
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在过去三年一直潜心研究的问题。
02:22
And the solution is actually one of the building blocks
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而解决方案实际上
就是未来城市的基石之一。
02:25
of the city of the future.
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02:27
We've been creating small, self-driving robots
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我们一直在制作 小型自动驾驶机器人,
02:32
that navigate quiet alleys and sidewalks
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以步行的速度在安静的小巷中
02:34
on a walking pace
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和人行道上行驶,
02:36
and have a secured cargo to deliver you food and supplies.
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并有安全的行李舱 为你运送食物和补给。
02:40
Now, before I tell you more about the robots,
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在我进一步介绍机器人之前,
02:43
let's do a quick thought experiment.
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让我们进行一个快速的思考实验。
02:45
In your mind, picture a city with thousands of robots.
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在你的脑海中想象一座 拥有数千个机器人的城市。
02:51
Is it this one?
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是这样的吗?
02:52
This Hollywood dystopia is what a lot of people expect.
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很多人会想象出 这类的好莱坞反乌托邦。
02:56
But our job is to create a friendly future that's designed for people.
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但是我们的工作是创造一个 为人类设计的友好未来。
03:02
So instead of making aliens,
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因此,我们没有制作外星机械,
03:05
we set out to create robots that are familiar.
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而是着手制造令人熟悉的机器人,
03:09
Robots that would belong in our communities.
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能与社区融为一体的机器人。
03:12
But we also wanted a little surprise.
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但是我们也想要一点惊喜。
03:14
Something unexpectedly delightful.
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某种出乎意料的喜悦。
03:17
Think about it.
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想一想。
03:18
You're walking down the street,
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你正在街上行走,
03:20
and you see your very first robot.
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并看见了有生以来的 第一个机器人。
03:22
That's the moment when you're going to decide
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正是这一瞬间能让你决定
03:25
if this is a future you love or fear.
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自己会喜爱还是恐惧这个未来。
03:28
And with a lot of people having these dystopian ideas,
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在很多人的观念中, 机器人是反乌托邦的,
03:32
we need to open their minds.
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而我们需要 让他们的思维变得开放。
03:34
We want to surprise and delight them,
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我们想让他们感到惊喜,
03:36
so that we can win them over on first impression.
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以便在第一印象上赢得他们的心。
03:39
This is what we came up with.
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这就是我们设计的机器人。
03:41
It's familiar, but it's also surprising.
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它很熟悉,但也令人惊奇。
03:44
It's just a shopping cart,
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它只是一辆购物车,
03:46
but it also looks like we crossbred WALL-E with Minions.
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但看起来又像是瓦力(WALL-E) 与小黄人(Minions)的杂交体。
03:51
If you live in San Francisco or Los Angeles,
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如果你住在旧金山或洛杉矶,
03:53
chances are one of these has already delivered your food.
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其中一台可能已经给你送过了外卖。
03:57
As soon as we put robots out on the street,
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当我们将机器人投入使用后,
04:00
we learned some really interesting problems.
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我们马上了解到了 一些非常有趣的问题。
04:02
Like, how should robots cross the road?
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比如说,机器人应该如何过马路?
04:05
Or how should robots interact with people with visual or mobility impairments?
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机器人该如何与 有视力或行动障碍的人互动?
04:12
We quickly realized that we need to teach our robots
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我们很快就意识到, 我们需要教机器人
04:15
how to communicate with people.
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如何与人交流。
04:18
People on the sidewalk come from every walk of life,
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街上的人们来自各行各业,
04:21
so we needed to create a new language,
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因此我们需要创造一种新的语言,
04:24
kind of a universal language
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一种通用的语言,
04:26
so people and robots can understand each other
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以便人和机器人
可以立即相互理解。
04:29
right off the bat.
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04:31
Because no one is going to be reading user manuals.
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因为没有人会阅读用户手册。
04:35
We started with eyes, because eyes are universal.
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我们从眼睛开始, 因为眼睛是共通的。
04:39
They can show where the robot is going
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它们可以显示机器人的前进方向,
04:41
or if it's confused.
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以及它是否陷入了困惑。
04:43
Plus, eyes make robots more human.
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另外,眼睛使机器人更人性化。
04:46
We also used sounds.
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我们还使用了声音。
04:49
For example, we created this running sound
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例如,我们创造了一种
夹杂了频繁间隙的跑步声音,
04:51
with frequent gaps
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04:53
so that people with visual impairments could locate their robots
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这样视力障碍者
就能用多普勒效应来定位机器人。
04:57
using the Doppler effect.
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04:59
But it turned out these were not enough.
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但是事实证明,这些还不够。
05:02
At intersections,
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在十字路口,
05:03
cars would cut in front of our robots.
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汽车会开到机器人面前。
05:05
Drivers were getting confused sometimes,
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司机有时会感到困惑,
05:07
because robots would take too long before they started crossing.
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因为机器人要等很长时间 才开始过马路。
05:12
Even ordinary pedestrians were getting confused.
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甚至连普通的行人也感到了困惑。
05:15
Sometimes, they couldn't figure out on which side to pass the robots,
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有时,他们搞不明白 该从哪一侧经过机器人,
05:19
because robots make a lot of small adjustments to their direction
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因为机器人在移动时
会对方向进行很多微调。
05:22
as they move.
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05:23
This actually sparked a new idea.
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这实际上激发了一个新想法。
05:26
What if we used movement to create a universal language?
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我们能不能用运动方式 来创造一门通用语言?
05:31
Like, at intersections,
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比如,在十字路口,
05:32
robots would gently move forward before they start crossing,
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机器人在过马路之前 会轻轻地向前移动,
05:36
to signal to drivers that it's their turn.
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以向司机发出“轮到我了”的信号。
05:39
If they see someone in a wheelchair,
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看到轮椅时,
05:41
they yield by pointing themselves away from the sidewalk,
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它们会转向人行道外侧让出道路,
05:46
to signal that they're not going to move.
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以表明自己不会移动。
05:49
Some of you may remember this.
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你们中有些人可能还记得这件事。
05:51
In 2015, Canadian researchers sent a robot hitchhiking across the US.
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2015 年,加拿大研究人员 派出了一个机器人搭便车穿越美国。
05:57
It didn't get very far.
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它没能走太远。
05:59
It turns out that robots can also use some social skills.
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事实上,机器人也应当 使用一些社交技能。
06:03
Like, if they're being tampered with,
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例如,卡内基 · 梅隆大学的 研究人员发现,
06:05
Carnegie Mellon researchers have shown that small toy robots should play dead,
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如果遭到了恶意摆弄, 小型玩具机器人应该装死,
06:10
because people feel bad when they think they broke it.
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因为人们以为自己把它弄坏了时 会感到不好受。
06:14
But delivery robots aren't toys,
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但是外卖机器人不是玩具,
06:16
they're not small, they are out there in public.
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它们个头不小, 它们会出入公共场所。
06:19
We found that with delivery robots,
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我们发现,对于外卖机器人,
06:22
to get people to stop tampering,
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要使人们停止胡乱摆弄,
06:24
robots need to show awareness.
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机器人需要表现出警觉。
06:26
It's kind of the opposite of playing dead.
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这有点和装死相反。
06:29
In this case,
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在这种情况下,
06:31
robots need to acknowledge the situation
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机器人需要确认情况,
06:33
to get people to step away.
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来让人们离开。
06:36
Also, a word of advice.
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另外,提个建议。
06:38
If you are a robot and you see small kids,
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如果你是机器人, 并且看到了小孩,
06:40
run towards the closest adult.
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请奔向最近的成年人。
06:43
It turns out that some kids just love harassing robots.
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事实证明,有些孩子 就是喜欢骚扰机器人。
06:47
So besides dystopia,
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除了反乌托邦,
06:50
Hollywood also promised us some really cool robots
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好莱坞还向我们承诺了 一些非常酷的机器人,
06:53
that would run our errands or keep us company.
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它们可以帮我们跑腿, 与我们作伴。
06:56
So far, we've really focused on food delivery,
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到目前为止, 我们专注于提供食品外卖,
06:58
but in the future,
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但是在将来,
07:00
these robots can do more.
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这些机器人能做到更多。
07:02
Like, they could gather excess food and bring it to shelters every night.
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它们可以每晚收集过剩的食物, 送到食品救济站。
07:07
Because in America, we waste 30 percent of our food,
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因为在美国, 我们浪费了 30% 的食物,
07:11
while 10 percent of our people experience food insecurity.
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而 10% 的人口却没有食品保障。
07:15
These robots could be part of the solution.
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这些机器人可能成为 解决方案的一部分。
07:18
Or when we have hundreds of robots running around cities,
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或者,当数百台机器人 在城市中运行时,
07:22
we could have robots carry emergency medications at all times,
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我们可以让机器人 随时携带急救药物,
07:26
just in case someone nearby has an allergic reaction
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以防附近有人出现过敏反应
07:29
or an asthma attack.
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或哮喘发作。
07:31
These robots could be on-site within a minute or two,
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这些机器人可以在 一两分钟之内到达现场,
07:34
faster than anyone else.
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比任何其他人都快。
07:35
And during pandemics,
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在疫情大流行期间,
07:37
robots can be a key part of our infrastructure.
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机器人可以成为 我们基础设施的关键部分。
07:40
They can ensure
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它们可以确保我们
07:41
that we can provide our communities with the essential needs
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即使在紧急情况下
也能满足社区的基本需求。
07:45
even during emergencies.
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07:47
Let me leave you with one last thought.
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请让我以最后的这个思考收尾。
07:50
Today, objects can't get from A to B without human help,
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今天,没有人为帮助, 物体就无法从 A 点到 B 点,
07:55
because our three-dimensional world is quite complex.
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因为我们的三维世界十分复杂。
07:59
But new sensors and AI can change that.
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但是新的传感器和人工智能 可以改变这一点。
08:04
In a way, technology is like a baby
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从某种意义上说, 科技就像一个婴儿,
08:06
that has just learned to recognize objects and understand words,
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才刚刚学会识别物体、理解单词,
08:11
and maybe even hold a basic conversation,
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甚至有可能进行基本的对话,
08:14
but it hasn't learned to walk yet.
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但它还没有学会走路。
08:16
Now, we are teaching technology
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现在,我们正在教导科技
08:19
how to navigate the three-dimensional world
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如何不依靠我们的帮助
08:21
without our help.
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在三维世界中行走。
08:24
We are entering this new era
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我们正在进入一个
08:26
where insentient objects are going to get up and move freely.
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无生命的物体 也将起身自由行动的新时代。
08:32
And when they do,
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而当它们动起来时,
08:33
we've got to make sure they don't look like aliens.
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我们必须确保 它们不像外星入侵者。
08:36
My vision for the future is that when things come to life,
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我对未来的愿景是, 当物体变得鲜活时,
它们将满怀喜悦地获得新生。
08:41
they do so with joy.
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08:43
You know, less like the movie "Terminator"
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不似电影《终结者》,
08:46
and more like "Toy Story."
175
526119
1667
而更像《玩具总动员》。
08:48
Thank you.
176
528159
1214
谢谢!
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