A friendly autonomous robot that delivers your food Ali Kashani

Food delivery.

It’s the thing that saves
millennials from starvation.

By my calculations,

Americans order over 20 million
restaurant deliveries

every single day.

Over half of these deliveries
are actually within walking distance.

But nine out of 10 are delivered in cars.

So basically,

we are moving a two-pound burrito

in a two-ton car

20 million times a day.

The energy to bring you that burrito

is actually bringing you
a two-ton metal cage

with heated seats.

Let’s be honest.

We are addicted to our cars.

Did you know that in America,

for every car,
there are four parking spots?

In some downtowns,

over half of the real estate is for cars.

We have designed our cities
around our cars,

because we drive
whether we’re going two miles

or 200 miles.

Solo, or with our whole family.

We get into the same SUV
to go buy coffee or a coffee table.

If we could free up
some of these streets and parking lots,

we could build more housing,

more social spaces, more parks.

But to do that,

first, we need to rethink
how we are using cars today.

In the city of the future,

if you want to go five blocks,
you summon a bike or a scooter.

If you’re in a rush,
a passenger drone would pick you up.

And if you need food,
no need to have someone drive over –

the food will make its way to you.

Let’s go back to those 20 million a day
restaurant deliveries.

If we could get
these deliveries off the road,

we could reduce the need

for as many as one and a half
million cars just in the US.

That’s twice the size of San Francisco.

Now, think of the impact this could have
on cities like Delhi,

or my birth city of Tehran,

where car pollution is killing
thousands of people every year.

So how do we get some
of these deliveries off the road?

Well, that’s the question

that my team and I have been obsessed with
over the last three years.

And the solution is
actually one of the building blocks

of the city of the future.

We’ve been creating
small, self-driving robots

that navigate quiet alleys and sidewalks

on a walking pace

and have a secured cargo
to deliver you food and supplies.

Now, before I tell you
more about the robots,

let’s do a quick thought experiment.

In your mind, picture a city
with thousands of robots.

Is it this one?

This Hollywood dystopia
is what a lot of people expect.

But our job is to create a friendly future
that’s designed for people.

So instead of making aliens,

we set out to create robots
that are familiar.

Robots that would belong
in our communities.

But we also wanted a little surprise.

Something unexpectedly delightful.

Think about it.

You’re walking down the street,

and you see your very first robot.

That’s the moment
when you’re going to decide

if this is a future you love or fear.

And with a lot of people
having these dystopian ideas,

we need to open their minds.

We want to surprise and delight them,

so that we can win them over
on first impression.

This is what we came up with.

It’s familiar, but it’s also surprising.

It’s just a shopping cart,

but it also looks like
we crossbred WALL-E with Minions.

If you live in San Francisco
or Los Angeles,

chances are one of these
has already delivered your food.

As soon as we put robots
out on the street,

we learned some
really interesting problems.

Like, how should robots cross the road?

Or how should robots interact with people
with visual or mobility impairments?

We quickly realized
that we need to teach our robots

how to communicate with people.

People on the sidewalk
come from every walk of life,

so we needed to create a new language,

kind of a universal language

so people and robots
can understand each other

right off the bat.

Because no one is going
to be reading user manuals.

We started with eyes,
because eyes are universal.

They can show where the robot is going

or if it’s confused.

Plus, eyes make robots more human.

We also used sounds.

For example, we created this running sound

with frequent gaps

so that people with visual impairments
could locate their robots

using the Doppler effect.

But it turned out these were not enough.

At intersections,

cars would cut in front of our robots.

Drivers were getting confused sometimes,

because robots would take too long
before they started crossing.

Even ordinary pedestrians
were getting confused.

Sometimes, they couldn’t figure out
on which side to pass the robots,

because robots make a lot
of small adjustments to their direction

as they move.

This actually sparked a new idea.

What if we used movement
to create a universal language?

Like, at intersections,

robots would gently move forward
before they start crossing,

to signal to drivers that it’s their turn.

If they see someone in a wheelchair,

they yield by pointing themselves
away from the sidewalk,

to signal that they’re not going to move.

Some of you may remember this.

In 2015, Canadian researchers
sent a robot hitchhiking across the US.

It didn’t get very far.

It turns out that robots
can also use some social skills.

Like, if they’re being tampered with,

Carnegie Mellon researchers have shown
that small toy robots should play dead,

because people feel bad
when they think they broke it.

But delivery robots aren’t toys,

they’re not small,
they are out there in public.

We found that with delivery robots,

to get people to stop tampering,

robots need to show awareness.

It’s kind of the opposite of playing dead.

In this case,

robots need to acknowledge the situation

to get people to step away.

Also, a word of advice.

If you are a robot and you see small kids,

run towards the closest adult.

It turns out that some kids
just love harassing robots.

So besides dystopia,

Hollywood also promised us
some really cool robots

that would run our errands
or keep us company.

So far, we’ve really focused
on food delivery,

but in the future,

these robots can do more.

Like, they could gather excess food
and bring it to shelters every night.

Because in America,
we waste 30 percent of our food,

while 10 percent of our people
experience food insecurity.

These robots could be
part of the solution.

Or when we have hundreds of robots
running around cities,

we could have robots carry
emergency medications at all times,

just in case someone nearby
has an allergic reaction

or an asthma attack.

These robots could be on-site
within a minute or two,

faster than anyone else.

And during pandemics,

robots can be a key part
of our infrastructure.

They can ensure

that we can provide our communities
with the essential needs

even during emergencies.

Let me leave you with one last thought.

Today, objects can’t get from A to B
without human help,

because our three-dimensional world
is quite complex.

But new sensors and AI can change that.

In a way, technology is like a baby

that has just learned to recognize objects
and understand words,

and maybe even hold a basic conversation,

but it hasn’t learned to walk yet.

Now, we are teaching technology

how to navigate
the three-dimensional world

without our help.

We are entering this new era

where insentient objects
are going to get up and move freely.

And when they do,

we’ve got to make sure
they don’t look like aliens.

My vision for the future
is that when things come to life,

they do so with joy.

You know, less like
the movie “Terminator”

and more like “Toy Story.”

Thank you.

送外卖。

这是使
千禧一代免于饥饿的东西。

根据我的计算,

美国人每天订购超过 2000 万
份外卖

服务。

这些交付
中的一半以上实际上都在步行距离之内。

但是十分之九是用汽车运送的。

所以基本上,

我们每天要用两吨重的汽车搬运两磅重的墨西哥卷饼

2000 万次。

给你带来墨西哥卷饼的能量

实际上是给你带来
了一个带有加热座椅的 2 吨重的金属笼子

说实话。

我们沉迷于我们的汽车。

你知道在美国

,每辆车
都有四个停车位吗?

在一些市中心,

超过一半的房地产用于汽车。

我们围绕汽车设计了城市

因为
无论行驶两英里

还是 200 英里,我们都会开车。

一个人,或者和我们全家一起。

我们坐上同一辆SUV
去买咖啡或咖啡桌。

如果我们可以腾出
一些街道和停车场,

我们就可以建造更多的住房、

更多的社交空间、更多的公园。

但要做到这一点,

首先,我们需要重新思考
我们今天如何使用汽车。

在未来的城市里,

如果你想走五个街区,
你可以召唤一辆自行车或一辆踏板车。

如果你赶时间,
一架载客无人机会接你。

如果你需要食物,
不需要有人开车过来

——食物会送到你身边。

让我们回到每天 2000 万次的
餐厅外卖。

如果我们能够让
这些交付不再上路,

我们就可以减少美国

对多达
150 万辆汽车的需求。

这是旧金山的两倍。

现在,想想这可能
对德里

或我的出生城市德黑兰等城市产生的影响,

那里的汽车污染每年导致
数千人死亡。

那么,我们如何才能让其中
一些交付离开道路呢?

嗯,这

就是我和我的团队
在过去三年中一直痴迷的问题。

解决方案
实际上

是未来城市的基石之一。

我们一直在创造
小型自动驾驶机器人

,它们可以步行在安静的小巷和人行道

上行走,

并有安全的货物
为您运送食物和补给品。

现在,在我告诉你
更多关于机器人的信息之前,

让我们做一个快速的思想实验。

在你的脑海中,想象一个
拥有数千个机器人的城市。

是这个吗?

这个好莱坞的反乌托邦
是很多人所期待的。

但我们的工作是创造一个
为人们设计的友好未来。

因此,我们没有制造外星人,

而是着手制造
熟悉的机器人。

属于我们社区的机器人。

但我们也想要一个小惊喜。

出乎意料的令人愉快的事情。

想想看。

你走在街上

,你看到了你的第一个机器人。

那是
你要

决定这是你喜欢还是害怕的未来的时刻。

很多人
都有这些反乌托邦的想法,

我们需要开放他们的思想。

我们想给他们惊喜和喜悦,

这样我们就可以
在第一印象中赢得他们的青睐。

这就是我们想出的。

这很熟悉,但也很令人惊讶。

它只是一个购物车,

但看起来我们也将
WALL-E 与 Minions 杂交。

如果您住在旧金山
或洛杉矶,很

可能其中之一
已经为您送来了食物。

一旦我们把
机器人放到街上,

我们就发现了一些
非常有趣的问题。

比如,机器人应该如何过马路?

或者机器人应该如何与
有视觉或行动障碍的人互动?

我们很快
意识到我们需要教我们的机器人

如何与人交流。

人行道上的
人来自各行各业,

所以我们需要创造一种新的语言,

一种通用语言,

这样人和机器人
就可以立即

相互理解。

因为没有人
会阅读用户手册。

我们从眼睛开始,
因为眼睛是普遍的。

他们可以显示机器人要去哪里

或者它是否感到困惑。

另外,眼睛让机器人更人性化。

我们还使用了声音。

例如,我们创建了这种

带有频繁间隙的跑步声音,

以便有视觉障碍的人
可以使用多普勒效应定位他们的机器人

但事实证明,这些还不够。

在十字路口,

汽车会从我们的机器人面前驶过。

司机有时会感到困惑,

因为机器人
在开始穿越之前需要很长时间。

就连普通的行人
也开始迷糊了。

有时,他们无法
确定从哪一侧通过机器人,

因为机器人在移动时
会对其方向进行很多小调整

这实际上引发了一个新的想法。

如果我们用运动
来创造一种通用语言呢?

比如,在十字路口,

机器人会
在开始过马路之前轻轻地向前移动,

向司机发出信号,表明该轮到他们了。

如果他们看到有人坐在轮椅上,

他们就会让自己
远离人行道,

以表示他们不会移动。

你们中的一些人可能还记得这一点。

2015 年,加拿大研究人员
派出一个机器人搭便车穿越美国。

它并没有走得很远。

事实证明,机器人
也可以使用一些社交技能。

就像,如果它们被篡改,

卡内基梅隆大学的研究人员已经证明
,小型玩具机器人应该装死,

因为
当人们认为自己弄坏了它时会感到难过。

但是送货机器人不是玩具,

它们也不小,
它们在公共场合。

我们发现,对于送货机器人,

为了让人们停止篡改,

机器人需要表现出意识。

这有点与装死相反。

在这种情况下,

机器人需要了解情况

才能让人们离开。

另外,提个建议。

如果您是机器人并且看到小孩,请

向最近的成年人跑去。

事实证明,有些孩子
就是喜欢骚扰机器人。

所以除了反乌托邦,

好莱坞还向我们承诺了
一些非常酷的机器人

,它们可以帮我们跑腿
或陪伴我们。

到目前为止,我们真的专注
于送餐,

但在未来,

这些机器人可以做得更多。

比如,他们可以每天晚上收集多余的食物
并将其带到避难所。

因为在美国,
我们浪费了 30% 的食物,

而我们 10% 的人
经历了粮食不安全。

这些机器人可能
是解决方案的一部分。

或者当我们有数百个机器人
在城市中运行时,

我们可以让机器人随时携带
急救药物,

以防附近
有人出现过敏反应

或哮喘发作。

这些机器人可以
在一两分钟内到达现场,

比其他任何人都快。

在大流行期间,

机器人可以成为
我们基础设施的关键部分。

他们可以

确保我们即使在紧急情况下也可以为我们的社区
提供基本需求

让我给你留一个最后的想法。

今天,没有人类的帮助,物体无法从 A 到 B

因为我们的三维世界
非常复杂。

但新的传感器和人工智能可以改变这一点。

在某种程度上,科技就像一个

刚刚学会识别物体
和理解文字的婴儿,

甚至可能会进行基本的对话,

但它还没有学会走路。

现在,我们正在教技术

如何在

没有我们帮助的情况下导航 3D 世界。

我们正在进入一个新时代

,在这个时代,无情的
物体会起床并自由移动。

当他们这样做时,

我们必须确保
他们看起来不像外星人。

我对未来的愿景
是,当事情变得栩栩如生时,

他们会高兴地这样做。

你知道,
不像电影《终结者》

,更像是《玩具总动员》。

谢谢你。