4 lessons from robots about being human Ken Goldberg

I know this is gonna sound strange but I

think robots can inspire us to be better

humans see I grew up in Bethlehem

Pennsylvania the home of Bethlehem Steel

my father was an engineer and when I was

growing up he would teach me how things

worked we would build projects together

like model rockets and slot cars here’s

the go-kart that we built together

that’s me behind the wheel my sister and

my best friend at the time and one day

he came home when I was about 10 years

old and at the dinner table he announced

that for our next project we were gonna

build a robot a robot now I was thrilled

about this because at school there was a

bully named Kevin and he was picking on

me because I was the only Jewish kid in

class so I couldn’t wait to get started

to work on this so that I could

introduce Kevin to my robot

but that wasn’t the kind of robot my dad

had in mind see he owned a chromium

plating company and they had to move

heavy steel parts between tanks of

chemicals and so he needed an industrial

robot like this that could basically do

the heavy lifting but my dad didn’t get

the kind of robot he wanted either he

and I worked on it for several years but

it was the 1970s and the technology that

was available to amateurs just wasn’t

there yet so dad continued to do this

kind of work by hand and appears later

he was diagnosed with cancer you see the

what the robot we were trying to build

was telling him was not about doing the

heavy lifting it was a warning about his

exposure to the toxic chemicals he

didn’t recognize that at the time and he

contracted leukemia and he died at the

age of 45 I was devastated by this and I

never forgot the robot that he and I

tried to build when I was a college I

decided to study engineering like him

and I went to Carnegie Mellon and I

earned my PhD in robotics

I’ve been studying robots ever since so

what I’d like to tell you about our four

robot projects and what they how they’ve

inspired me to be a better human by 1993

I was a young professor at Kearney at

USC and I was just building up my own

robotics lab and this was the year that

the World Wide Web came out and I

remember my students were the ones who

told me about it and we would we were

just amazed and we started playing with

this and that afternoon we realized that

we could use this new universal

interface to allow anyone in the war

to operate the robot in our lab so

rather than have it fight or do

industrial work we decided to build a

planter put the robot into the center of

it and we called it the telecard and we

put a camera in the gripper of the hand

of the of the robot and we wrote some

special scripts and software so that

anyone in the world could come in and by

clicking on the screen they could move

the robot around and visit the garden

but we also allowed have setup some

other software that lets you participate

and help us water the garden remotely

and if you wanted a few times we’d give

you your own seed to plant and this was

a project an engineering project and we

published some papers on me on the

design the system design of it but we

also thought of it as an art

installation it was invited after the

first year by the ARS electronica museum

in Austria to have it installed in their

Lobby and I’m happy to say it remained

online there 24 hours a day for over

almost nine years that robot was

operated by more people than any other

robot in history now one day I got a

call out of the blue from a student who

asked a very simple but profound

question he said is the robot real now

everyone else had assumed it was and we

knew it was because we were working with

it but I knew what he meant because it

would be possible to take a bunch of

pictures and flowers in a garden and

then basically index them in a computer

system such that it would appear that

there was a real robot when there wasn’t

and the more I thought about it I

couldn’t think of a good answer for how

could he could tell the difference this

was right about this time that I was

offered a position here at Berkeley and

when I got here I looked up Hubert

Dreyfus he was a world-renowned

professor of philosophy

and I talked with him about this and he

said this is one of the oldest and most

central problems in philosophy it goes

back to the sceptics

and up through Descartes it’s the issue

of of epistemology the study of how do

we know that something is true so he and

I started working together and we coined

a new term tell epistemology the study

of knowledge at a distance we invited

leading artists engineers and

philosophers to write essays about this

and the result the results are collected

in this book from MIT press so thanks to

this student who questions what everyone

else had assumed to be true this project

taught me an important lesson about life

which is to always question assumptions

now for the second project I’ll tell you

about grew out of the teller garden as

it was operating my students and I were

very interested in how people were

interacting with each other and what

they were doing with the garden so we

started thinking what if the robot could

leave the garden and go out into some

other interesting environment like for

example what if I could go to a dinner

party at the white house so because we

were interested more in the system

design and the user interface than in

the hardware we decided that rather than

have a robot replaced the human to go to

the party we’d have a human replaced the

robot we called it the telly actor we

got a human someone who’s very outgoing

and gregarious and she was outfitted

with a helmet with various equipment

cameras and microphones and then a

backpack with wireless internet

connection and the idea was that she

could go into a remote and interesting

environment and then over the Internet

people could experience what she was

experiencing so they could see what she

was seeing but then more importantly

they could participate by interacting

with each other and coming up with ideas

about what she should do next

and where she should go and then

conveying those to the telly actor so we

got a chance to take the telly actor to

the Webby Awards in San Francisco and

that year Sam Donaldson was the host

just before the curtain went up I had

about 30 seconds to explain to mr.

Donaldson what we were gonna do I said

the telly actor is a is going to be

joining you on stage and this is a new

experimental project and people are

watching her on their screens and she’s

got there’s cameras involved and there’s

a there’s microphones and she’s got an

earbud in her ear and people over the

network are giving her advice about what

to do next and he said wait a second

that’s what I do

so he loved the concept and when the

tele actor walked on stage she walked

right up to him and she gave him a big

kiss right on the lips

we were totally surprised we had no idea

that would happen and he was great he

just gave her a big hug and returned and

it worked out great but that night as we

were packing up I asked a Tele actor how

did the toilet directors decide that

they would give a kiss to Sam Donaldson

and she said they hadn’t said when she

was just about to walk onstage the

teller directors still were trying to

agree on what to do and so she just

walked onstage and did what felt most

natural

so the success of the telly actor that

night was that it was due to the fact

that she was a wonderful actor she knew

when to trust her instincts and so that

project taught me another lesson about

life which is that when in doubt

improvise

now the third project grew out of the my

experience when my father was in the

hospital he was undergoing a treatment

chemotherapy treatments and there’s a

related treatment called brachytherapy

where tiny radioactive seeds are placed

into the body to treat cancerous tumors

and the way it’s done as you can see

here is that surgeons insert needles

into the body to deliver the seeds and

all this all these needles are inserted

in parallel so it’s very common that

some of the needles penetrate sensitive

organs and as a result the the needles

damaged these organs cause damage which

leads to trauma and side effects so my

students and I wondered what if we could

modify the system so that the needles

could come in at different angles so we

simulated this and we developed some

optimization algorithms and we simulated

this and we were able to show that we

are able to avoid the delicate organs

and yet still achieve the coverage of

the of the tumors with the can’t with

the radiation so now we’re working with

doctors at UCSF and engineers at Johns

Hopkins and we’re building a robot that

has a number of it’s a specialized

design with different joints that can

allow the needles to come in at an

infinite variety of angles and as you

can see here they can avoid delicate

organs - and still reach the targets

they’re aiming for so by questioning

this assumption that all the needles

have to be parallel this project also

taught me an important lesson

when in doubt when your path is blocked

pivot and the last project also has to

do with medical robotics and this is

something that’s grown out of a product

out of a system called The Da Vinci

Surgical robot and this is a

commercially available device that’s

being used in over 2,000 hospitals

around the world and the ideas that

allows the surgeon to operate

comfortably in its own coordinate frame

and it’s but many of the subtasks in

surgery are very routine and tedious

like suturing and currently all these

are performed under the specific and

immediate control of the surgeon so the

surgeon becomes fatigued over time and

we’ve been wondering what if we could

program the robot to perform some of

these subtasks and thereby free the

surgeon to focus on the more complicated

parts of the of the surgery and also cut

down on the time that the surgery would

take if we could get the robot to do

them a little bit faster now it’s hard

to program robot to do delicate things

like this but it turns out my colleague

Peter ABEO who’s here at Berkeley has

developed a new set of techniques for

teaching robots from example so he’s

gotten robots to fly helicopters to

incredibly interesting beautiful

acrobatics by watching human experts fly

them so we got one of these robots we

started working with Peter and his

students and we asked a surgeon to

perform a task and what we do is we

Swift the robot so what we’re doing is

asking the robot the surgeon to perform

the task and we record the motions of

the robot so here’s an example I’ll use

a figure eight tracing out a figure

eight as an example so here’s what it

looks like when the robot this is what

the robots path looks like those three

examples now those are much better than

what a novice like I could do but

they’re still jerky and imprecise so we

record all these examples the data and

then we we go through a sequence of

steps

first we used a technique called dynamic

time warping from speech recognition and

this allows us to temporally align all

the examples and then we apply common

filtering a technique from control

theory that allows us to statistically

analyze all the noise and extract the

desired trajectory that underlies them

now so what we’re doing is we take those

human demonstrations are all noisy and

perfect and we extract from them an

inferred task trajectory and control

sequence for the robot we then execute

that on the robot we observe what

happens then we adjust the controls

using a sequence of techniques called

iterative learning then we do is we

increase the velocity a little bit we

observe the results adjust the controls

again and observe what happens we go

through this several rounds and here’s

the result that’s the inferred trijet

task trajectory and here’s the robot

moving at this compute slew speed of the

human here’s four times the speed of the

human here’s seven times and here’s the

robot operating at ten times the speed

of the human so we’re able to get a

robot to perform a delicate task like I

got a surgical sub task at 10 times the

speed of a human so this project also

because of its involves practicing and

learning doing something over and over

again this project also has a lesson

which is if you wanted to if you want to

do something well there’s no substitute

for practice practice practice so these

are for the lessons that I’ve learned

from robots over the years and 10 and

robotics the field of robotics has

gotten much better over time nowadays

high school students can build robots

like the industrial robot my dad and I

tried to build but it’s very it now and

now I have a daughter named Odessa

she’s eight years old and she likes

robots too maybe it runs in the family I

wish she could meet my dad and I and now

I get to teach her how things work we

get to build projects together and I

wonder what kind of lessons that she’ll

learn from them robots are the most

human of our machines they can’t solve

all of the world’s problems but I think

they have something important to teach

us I invite all of you to think about

the innovations that you’re interested

in the machines that you wish for and

think about what they might be telling

you because I have a hunch that many of

our technological innovations the

devices we dream about can inspire us to

be better humans thank you

you

我知道这听起来很奇怪,但我

认为机器人可以激励我们成为更好的

人类 看到我在

宾夕法尼亚州伯利恒长大,伯利恒钢铁公司的故乡,

我父亲是一名工程师,当我

长大时,他会教我事情

是如何运作的,我们会 一起建造

诸如模型火箭和老虎机之类的项目

这是我们一起建造的卡丁车

那是我在驾驶 我的妹妹

和我当时最好的朋友 有一天

他回家时我大约 10

岁并在餐桌旁 他

宣布在我们的下一个项目中,我们将

制造一个机器人,一个机器人现在我对此感到很

兴奋,因为在学校有一个

名叫凯文的恶霸,他在

找我,因为我是班上唯一的犹太孩子,

所以我不能 等着

开始研究这个,这样我就可以

把凯文介绍给我的机器人,

但这不是我父亲想到的那种机器人,

因为他拥有一家

镀铬公司,他们不得不

在化学品罐之间移动重型钢部件

一个 所以他需要一个

像这样的工业机器人,它基本上可以

做繁重的工作,但我父亲没有得到

他想要的那种机器人,他

和我一起工作了几年,

但那是 1970 年代和可用的技术

对业余爱好者

来说还没有,所以爸爸继续手工做

这种工作,后来

他被诊断出患有癌症,你看

我们试图建造的机器人

告诉他的不是做

繁重的工作 关于他

接触有毒化学物质的警告他

当时没有意识到,他

患上了白血病,他在 45 岁时去世了

我被这件事摧毁了,我

永远不会忘记他和我

在我尝试建造的机器人时 是一所大学 我

决定像他一样学习工程学

然后我去了卡内基梅隆大学并

获得了机器人学博士学位

从那以后我一直在研究机器人 所以

我想告诉你关于我们的四个

机器人项目以及它们是如何进行的

启发了我 到 1993 年成为更好的人

我是南加州大学科尔尼分校的一名年轻教授,当时

我正在建立自己的

机器人实验室,这一年

是万维网问世的一年,我

记得我的学生是

告诉我这件事的人 我们会

感到惊讶,我们开始玩

这个,那天下午我们意识到

我们可以使用这个新的通用

界面让战争中的任何人都

可以在我们的实验室中操作机器人,

而不是让它打架或做

我们决定的工业工作 建造一个

播种机,把机器人放在

它的中心,我们把它叫做电话卡,我们

把一个摄像头放在机器人的

手上,我们写了一些

特殊的脚本和软件,这样

世界上的任何人都可以来 通过

点击屏幕,他们可以

移动机器人并参观花园,

但我们还允许设置一些

其他软件,让您参与

并帮助我们远程浇灌花园

,如果您想要几次,我们会给

你自己种下种子,这是

一个工程项目,我们

发表了一些关于它的

设计和系统设计的论文,但我们

也认为它是一个艺术

装置

在奥地利的博物馆将它安装在他们的

大厅里,我很高兴地说,它

每天 24 小时都在线,

将近九年了,现在机器人

操作的人比

历史上任何其他机器人都多 有一天我接到一个

电话 一个学生突然

问了一个非常简单但深刻的

问题,他说机器人是真实的,现在

其他人都认为它是真实的,我们

知道这是因为我们正在使用

它,但我知道他的意思,因为

它是可能的

在花园里拍一堆照片和鲜花,

然后基本上在计算机系统中将它们编入索引,

这样当没有机器人时,它就会看起来像

有一个真正的机器人,

我想的越多,我

想不出一个 好一个 想知道

他怎么能分辨出这两者之间的区别

,这一次我

在伯克利获得了一个职位,

当我到达这里时,我查找了休伯特·

德雷福斯,他是世界著名

的哲学教授

,我和他谈过这个 他

说这是哲学中最古老和最

核心的问题之一,它可以

追溯到怀疑论者

,直到笛卡尔,这

是认识论的问题,研究

我们如何知道某事是真的,所以他和

我开始合作 我们创造

了一个新术语 告诉认识论 对

远距离知识的研究 我们邀请了

领先的艺术家工程师和

哲学家写关于这方面的论文

,结果结果

从麻省理工学院出版社收集在这本书中 所以感谢

这位质疑

其他人所拥有的学生 假设是真的这个项目

教会了我关于生活的重要一课,

那就是现在总是质疑假设

对于我要告诉你的第二个项目的假设

柜员花园,因为

它正在操作我的学生,我

对人们如何

互动以及

他们在花园里做什么非常感兴趣,所以我们

开始思考如果机器人可以

离开花园并进入

其他有趣的环境会怎样

例如,如果我可以去

白宫参加晚宴,因为我们

对系统

设计和用户界面比

对硬件更感兴趣,所以我们决定不要

让机器人代替人类去

参加派对 我们会让一个人类取代

我们称之为电视演员的机器人 我们

有一个非常外向

和合群的人,她配备

了一个带有各种设备

摄像头和麦克风的头盔,然后是一个

带无线互联网

连接的背包,这个想法是 她

可以进入一个偏远而有趣的

环境,然后通过互联网

人们可以体验她正在

经历的事情,这样他们就可以看到她想要的

东西 就像看到一样,但更重要的是,

他们可以通过彼此互动来参与,

并提出

关于她下一步应该做什么

以及她应该去哪里的想法,然后

将这些想法传达给电视演员,这样我们

就有机会将电视演员

带到 旧金山韦比奖,

那年山姆·唐纳森是主持人,

就在幕布拉开之前,我有

大约 30 秒的时间向先生解释。

唐纳森 我们要做什么 我

说电视演员

将和你一起上台,这是一个新的

实验项目,人们

在屏幕上看着她,她

有摄像头,

有麦克风,她有 一个

耳塞在她的耳朵里,

网络上的人正在给她建议

下一步该做什么,他说等一下

,这就是我所做的,

所以他喜欢这个概念,当

电视演员走上舞台时,她径直

走向他,她 在他的嘴唇上给了他一个大大的

吻,

我们非常惊讶,我们不

知道会发生这种情况,他很棒,他

只是给了她一个大大的拥抱,然后回来了,

结果很好,但是那天晚上,当

我们收拾行李时,我问了一个电话 演员

厕所主管是

如何决定要吻山姆·唐纳森的

,她说她刚要走上舞台时他们没有说

柜员主管仍在试图

就该怎么做达成一致,所以她只是

走了 在舞台上,做了最

自然的

事情,所以那天晚上电视演员的成功是

因为她是一个出色的演员,她知道

什么时候应该相信自己的直觉,所以这个

项目教会了我关于生活的另一个教训,

那就是 当我怀疑即兴创作时,

第三个项目源于

我父亲

住院时的经历,他正在接受

化疗治疗,并且有一种

相关的治疗方法称为近距离放射治疗

,其中微小的放射性种子被

放入体内以治疗癌性肿瘤

和 正如您

在此处看到的那样,外科医生将针头

插入体内以输送种子,

所有这些针头都是

平行插入的,因此

一些针头穿透敏感

器官并导致针头

受损是很常见的 这些器官会造成损伤,从而

导致创伤和副作用,所以我

和我的学生想知道如果我们可以

修改系统以使 nee 肿瘤

可以从不同的角度进入,所以我们对此进行了

模拟,我们开发了一些

优化算法,我们

对此进行了模拟,我们能够证明

我们能够避开脆弱的器官

,但仍然可以

用罐子覆盖肿瘤

不是辐射,所以现在我们正在与

加州大学旧金山分校的医生和约翰

霍普金斯大学的工程师合作,我们正在建造一个机器人,

它有许多特殊的

设计,具有不同的关节,可以

让针以

无限的速度进入 各种角度,正如您

在此处看到的那样,它们可以避开精致的

器官 - 并且仍然可以达到

他们的目标,因此通过质疑

所有针

必须平行的假设,这个项目也

教会了我一个重要的教训,

当我有疑问时 你的路被挡住了

枢纽,最后一个项目

也与医疗机器人有关,这是

从一个名为达芬奇手术机器人的系统中衍生出来的产品

,这是 一种

在全球 2000 多家医院中使用的商用设备,

以及

允许外科医生

在自己的坐标系中舒适地操作的想法

,但是

手术中的许多子任务非常常规和繁琐,

就像缝合一样,目前所有这些

都是 在外科医生的特定和

直接控制下执行,因此

外科医生会随着时间的推移变得疲劳,

我们一直想知道如果我们

可以对机器人进行编程以执行其中

一些子任务,从而让

外科医生专注于更复杂的

部分

如果我们能让机器人

更快地完成

手术,还可以缩短

手术时间 在伯克利,他

开发了一套新的技术来

从例子中教授机器人,所以他

让机器人驾驶直升机飞向

非常有趣的美女 iful

杂技,通过观察人类专家驾驶

它们,所以我们得到了其中一个机器人,我们

开始与彼得和他的学生一起工作

,我们要求外科医生

执行一项任务,我们所做的就是让

机器人快速移动,所以我们正在做的是

询问 外科医生机器人来

执行任务,我们记录机器人的动作,

所以这是一个

例子 就像这三个

例子一样,它们比

我这样的新手做的要好得多,但

它们仍然生涩和不精确,所以我们

记录所有这些例子的数据,

然后我们首先经历一系列

步骤,

我们使用了一种称为动态的技术

来自语音识别的时间扭曲,

这使我们能够在时间上对齐

所有示例,然后我们应用

来自控制

理论的通用过滤技术,使我们能够统计

分析所有噪声并提取

所需的 现在作为它们基础的轨迹,

所以我们正在做的是,我们将那些

充满噪音和

完美的人类演示从它们中提取

出推断的任务轨迹和

机器人的控制序列,然后

在机器人上执行它,我们观察

发生了什么然后我们

使用称为迭代学习的一系列技术调整控制

然后我们做的是我们

稍微增加速度我们

观察结果再次调整控制

并观察发生了什么我们

经历了这几轮,

这是推断出的trijet

任务轨迹的结果 这是机器人

以人类的计算回转速度移动 这是

人类速度的四倍

这是七倍 这是

机器人以人类的十倍速度运行

所以我们能够让

机器人执行微妙的操作 任务就像我

以人类 10 倍的速度完成了一个外科子任务,

所以这个项目也

因为它涉及练习和

学习做某事 一遍又

一遍,这个项目也有一个教训

,如果你想,如果你想把

事情做好,没有什么可以

代替实践实践实践所以这些

是我

多年来从机器人和

机器人学中学到的教训 随着时间的推移,机器人领域已经

变得越来越好,现在

高中生可以

像我父亲和我试图制造的工业机器人一样制造机器人

,但现在已经很成熟了,

现在我有一个女儿,名叫 Odessa,

她 8 岁,她也喜欢

机器人 也许它在家庭中运行我

希望她能见到我爸爸和我现在

我可以教她如何工作

我们一起建立项目我

想知道她将从他们身上学到什么样的课程

机器人是最

人性化的 在我们的机器中,它们无法解决

世界上所有的问题,但我认为

它们有一些重要的东西可以教

给我们

想想他们可能会告诉你什么,

因为我有一种预感,

我们的许多技术创新,

我们梦想的设备可以激励我们

成为更好的人,谢谢你