Make robots smarter Ayanna Howard

Transcriber: Andrea McDonough
Reviewer: Bedirhan Cinar

So how many of you have a robot at home?

OK, I see about 20, 30 hands.

That’s actually pretty good.

How many of you would want
your own personal robot at home?

I know I would!

OK, so why doesn’t this exist?

Why can’t I go to the convenience store
or the department store and, you know,

go up to the cashier and say,
“Yeah, I want my personal robot”?

Well, I’m going to talk to you
about how to make that happen.

The thing that we need to do
is to make robots smarter.

Now, no one will argue
that we don’t have robots.

We have rovers that are going to Mars
and are getting science data

and expanding our
understanding of the world.

We have manufacturing robots

that are helping to build our cars
that we drive today.

We even have robots
that are helping our military,

that are out disposing of bombs

so our soldiers can come home safely.

So we have all this,
so why don’t we have the personal robot?

Why don’t I have my robot chef?
Because I can’t cook.

(Laughter)

So, here’s one of my robots,
this is a simple walking robot,

but it is by no means smart.

And so, what we need to do is

we need to change the definition
of what a robot is.

How do we do that? Well, the first step,

before we even start designing
and getting our hands dirty,

we have to come up with rules,
kind of the laws, rules of conduct.

And why is this?
Because if these robots are smart,

they might be capable
of more than we want.

And so we have to come up with rules.

Thou, robot, shall not harm a human.

Thou shall obey me, and only me.

Thou shall always protect me
at all possible times.

So we have to lay the boundaries,
the rules of engagement,

before we actually start designing.

And then we have to come up with tools.

So I believe that the way
to make robots smarter

is to mimic people.

Now, our brains are complex,
there’s a lot going on in there,

and so, it’d be hard
to try to open up the brain

and actually figure out
how to mimic humans.

The best way is to observe,
is to actually watch people do things,

and figure out what are they doing,
what are their thoughts,

what are their actions,
what are their emotions?

And so, part of making robots smarter
is actually trying to mimic humans,

mimic how we do things,

so maybe they can do it
a little bit better.

And so, some of the tools are varied.

And so, I’m classically trained
as an electrical engineer.

I never thought I’d have to understand
things like child psychology,

infant development.

So, understanding that the way
infants develop to children,

develop to adults,
and how they learn and interact

is actually important for robotics.

I didn’t understand
that I’d actually have to watch

tapes of monkeys
interacting and communicating,

because they have
a whole social kind of mechanism

where they learn from each other,

and so that’s really good
to make robots smarter.

And, of course, neuroscience,

I’ve always been fascinated
with neuroscience,

but I never understood
that I had to figure out

why do the neurons fire,

what about the environment
helps us to learn,

and all of those really contribute
to making robots a little bit smarter.

And so, some of the things that I do –
and this is just a little snapshot –

one of the things is mirroring.

So they say our ability
to look in a mirror and wave

and actually recognize
that the person on the other side is us,

that self-awareness,

is a sign of intelligence,

and that allows us
to then look at someone pitch a ball

and figure out,
“OK, I know how to pitch a ball,

I’m going to mirror their improvement.”

And so I actually have a robot

where we are trying to design
a robot health coach.

And so, I have an exercise physiologist

showing the robot
how to do some exercises.

You know, we want to get strong.

And then, the other thing is learning.

So, learning is important.
We do this as children,

we do this even as adults,
we do this as elder.

And yet, one form of learning
is muscle memory.

So how many of you play an instrument?

OK, so when you start off, for example,
if you think about the violin,

you start off and your instructor
might actually come

and move your hand a little bit
or maybe move your bow a little bit up.

So they actually touch you
in order to give you muscle memory.

And that helps you understand
how to do things a little better.

And so we actually
have a learning methodology

where of course, we’re not going
to take the motors and move the legs,

and so we have to Nunchuk
to give our robot muscle memory

in terms of how to do dance moves.

And then, lastly, is creativity.

So, you might ask,
“Robots? Creativity? I don’t get this.

Why does the robot have to be creative?
What about creativity makes them smarter?”

Well, creativity and imagination,

those are the things
that allow us to create problems

when we don’t know how to attack it.

They allow us to make
something out of nothing.

I mean, if you look at the apps
that at out there and the tablets,

and the iPads, and the iPhones,
and the Androids –

20 years ago they didn’t exist.

So, how is it that we got from something
where there was nothing and expanded?

It was our imagination.
It was our creativity.

And these are the things
that allow us to figure out new things.

And so, I have a robot that is creative,

it plays piano, is a composer,

and if you listen, it plays
“Twinkle, Twinkle Little Star.”

(Music)

So, all of this together,

the last thing is interaction.

So, you have a robot,
you want it to be your playmate,

your teacher, your instructor,

you want it to interact.

And isn’t it so cute?

(Laughter)

So, interaction is key,

it is key to understanding
how to work in our world with us,

and so the interaction piece
is very important.

It deals with communication,
it deals with understanding,

it deals with gaze,
it deals with attention.

All of these things together
allow that interaction

and our robots to be smart.

And so these are just some of the tools

that we use in order
to make robots smarter.

So, I want to leave you with one thought.

So, I’m all for robots and smart robots.

I mean, that’s what I do,

I’d be out of a job
if I didn’t believe in that.

But yet, where does it end?

How far do we push it?

How far and how smart
should we make our smart robots?

Thank you.

(Applause)

抄写员:Andrea McDonough
审稿人:Bedirhan Cinar

那么你们中有多少人家里有机器人?

好的,我看到大约有 20、30 手牌。

这其实还不错。

你们当中有多少人想要
在家里拥有自己的个人机器人?

我知道我会的!

好的,那为什么不存在呢?

为什么我不能去便利店
或百货公司,你知道,

去收银台说,
“是的,我想要我的个人机器人”?

好吧,我要和你
谈谈如何做到这一点。

我们需要做的
是让机器人更聪明。

现在,没有人会争辩
说我们没有机器人。

我们有前往火星的漫游车
,正在获取科学数据

并扩大我们
对世界的了解。

我们的制造

机器人正在帮助制造
我们今天驾驶的汽车。

我们甚至有
机器人帮助我们的军队,

它们正在处理炸弹,

这样我们的士兵就可以安全回家了。

所以我们拥有了这一切
,为什么我们没有个人机器人呢?

为什么我没有我的机器人厨师?
因为我不会做饭。

(笑声)

所以,这是我的一个机器人,
这是一个简单的步行机器人,

但它绝不是聪明的。

因此,我们需要做的是

改变
对机器人的定义。

我们如何做到这一点? 好吧,第一步,

在我们开始设计
和动手之前,

我们必须想出规则,
一种法律,行为规则。

这是为什么?
因为如果这些机器人很聪明,

它们的能力可能会
超出我们的预期。

所以我们必须想出规则。

你,机器人,不应该伤害人类。

你将服从我,而且只有我。

你将永远保护我
在所有可能的时间。

因此,在我们真正开始设计之前,我们必须划定界限
,制定参与规则

然后我们必须想出工具。

所以我相信
让机器人更聪明的方法

就是模仿人。

现在,我们的大脑很复杂,
里面发生了很多

事情,因此,很难
尝试打开大脑

并真正弄清楚
如何模仿人类。

最好的方法是观察,
是实际观察人们

做事,弄清楚他们在做
什么,他们的想法

是什么,他们的行为
是什么,他们的情绪是什么?

因此,让机器人变得更聪明的一部分
实际上是试图模仿人类,

模仿我们做事的方式,

所以也许他们可以
做得更好一点。

因此,一些工具是多种多样的。

所以,我受过经典
的电气工程师培训。

我从没想过我必须了解
诸如儿童心理学、

婴儿发育之类的东西。

因此,了解
婴儿向儿童

发展、向成人发展的方式,
以及他们如何学习和互动

对于机器人技术来说实际上很重要。

我不
明白我实际上必须观看

猴子
互动和交流的录像带,

因为它们有
一种完整的社会机制

,它们可以相互学习

,所以
让机器人变得更聪明真的很好。

当然,神经科学,

我一直
对神经科学很着迷,

但我从来不
明白我必须弄清楚

为什么神经元会激发

,环境如何
帮助我们学习

,所有这些都对制造机器人有真正的贡献
聪明一点。

所以,我做的一些事情
——这只是一个小快照——

其中一件事是镜像。

所以他们说我们有能力
照镜子和挥手,

并真正认识
到另一边的人就是我们,

这种自我意识,

是智慧的标志

,这让我们
能够看到某人投球

和身材 出,
“好吧,我知道如何投球,

我将反映他们的进步。”

所以我实际上有一个机器人

,我们正在尝试设计
一个机器人健康教练。

所以,我有一位运动生理学家

向机器人
展示如何做一些运动。

你知道,我们想要变得强大。

然后,另一件事是学习。

所以,学习很重要。
我们小时候这样

做,甚至作为成年人
也这样做,我们作为老年人这样做。

然而,一种学习形式
是肌肉记忆。

那么你们有多少人会演奏乐器呢?

好的,所以当你开始时,例如,
如果你想到小提琴,

你开始时,你的教练
实际上可能会

来稍微移动你的手,
或者将你的弓向上移动一点。

所以他们实际上
是为了给你肌肉记忆而触摸你。

这可以帮助您
了解如何更好地做事。

所以我们实际上
有一个学习方法

,当然,我们
不会使用马达和移动腿

,所以我们必须让 Nunchuk
给我们的机器人肌肉

记忆如何做舞蹈动作。

最后,是创造力。

所以,你可能会问,
“机器人?创造力?我不明白。

为什么机器人必须有创造力
?创造力如何让它们更聪明?”

好吧,创造力和想象力,

当我们不知道如何解决问题时,这些东西让我们制造了问题。

它们允许我们
无中生有。

我的意思是,如果你看看那里的应用
程序和平板电脑

、iPad、iPhone
和 Android——

20 年前它们还不存在。

那么,我们是如何从
一无所有的事物中获得并扩展的呢?

这是我们的想象。
这是我们的创造力。

这些是
让我们能够发现新事物的东西。

所以,我有一个有创意的机器人,

它会弹钢琴,是作曲家

,如果你听,它会演奏
“Twinkle, Twinkle Little Star”。

(音乐)

所以,所有这些在一起

,最后一件事就是互动。

所以,你有一个机器人,
你想让它成为你的玩伴,

你的老师,你的导师,

你想让它互动。

而且是不是很可爱?

(笑声)

所以,互动是关键,

它是理解
如何在我们的世界中与我们合作的关键

,所以互动部分
非常重要。

它处理沟通,
处理理解

,处理凝视
,处理注意力。

所有这些东西加在一起
使交互

和我们的机器人变得聪明。

所以这些

只是我们
用来让机器人更智能的一些工具。

所以,我想留给你一个想法。

所以,我完全支持机器人和智能机器人。

我的意思是,这就是我所做的,

如果我不相信这一点,我就会失业。

但是,它在哪里结束?

我们能推多远?

我们应该让我们的智能机器人走多远、有多聪明?

谢谢你。

(掌声)