
Chinese: 
今天，我要與各位分享
我們開創嶄新機器人的過程
我們創造出具有類似人類性格的機器人
而其各方面能力也能媲美人類
甚至以他們的才智超越我們
我相信，這一切在未來15到20年很可能成真。
某方面來說
就如你在影片中所看到的
我們已經能讓機器人表現出人類表情
以及某些肢體表現
當然，在一般心智表現上
我們還有許多進步的空間
但就某程度上來說

English: 
So, I'm discussing with you today
how we are going to pave a path for machines
with human-like identities
to catch up with human capabilities
and then surpass us and their brilliants.
I believe that it is possible in the next 15 to 20 years.
Now in some regards,
as you can see in this video,
we're able to achieve human level expressivity
and in some way physical performance.
We have a long ways to go,
in terms of mental performance for general intelligence.
But in very narrow categories,

Chinese: 
我們已能讓機器人超越人類
為了將這些特質和機械結合
表現出更接近人類的行為
我們需要更廣的思維
因此也逐漸走向開放研究資料 (open source)的趨勢
將不同領域的片段成果結合在一起
共同為提升機器人智能而努力
我的專長便是結合不同領域的科技
以及藝術表現方式，讓機器人看起來極為逼真
包含他們的外觀，以及他們的溝通能力
這(些)是一些我所創造的機器人

English: 
we already have machines that exceed 
human level brilliant.
In order to bring together these little pockets 
of genius and machines
and something that is more human-like,
we need something bigger,
and that's where an open source movement can come in
to stitch these pieces together
into a tapestry of general intelligence in machines.
So now my background is bringing together 
various technologies,
and artistry to make Robotster extremely human-like,
and their physical presences and their 
conversational capabilities.
These are some examples of some of the robots 
that I've built.

English: 
So you can see that we achieve human-like expressivity
with biped mobility.
Thanks to some technology breakthroughs 
that I'll tell you about,
Now we've transition that technology 
into mass produced product.
These products, once again,
these products have conversational capabilities.
They have the ability to see your face,
recognize your face, see your facial expressions,
and they also present to you their facial expressions
and characteristic identities.
Previously, we've really enjoyed these kind of 
characters in fictions,
whether they're science fictions,
myths from ancient history,
or modern computer animation,
people are favorable in their reaction to characters.
People love human-like characters,

Chinese: 
你可以看到，我們已能讓機器人展現人類表情
並讓他們用兩隻腳移動)
這一切都歸功於科技的進展
而我稍後會向大家介紹
現在，我們已應用這些科技大量製造機械產品
這些產品
擁有與人類交談的能力
他們能夠看見你的臉孔
辨識出你的臉孔和表情
而它們也會以豐富的表情回應你
展現它們的個性
以前，我們總是著迷於小說中類似的角色
不論是在科幻小說
流傳千百年的神話中
或是現代電腦動畫
人類對這些角色深深著迷
人們愛死那些長得像人的角色了

Chinese: 
我們的天性就是會被這些社會互動所吸引
我們的大腦有很大一部份
就是用來對眼睛所能看見的社會互動作出回應
這是非常不可思議的
像是用來掃描人類大腦的功能性磁共振成像 (FMRI)
這些科技將可能延伸出更為直覺式的電腦計算形態
一種更為直覺式的人機互動界面
你也能逐漸在生活中看到這些科技
像是最近流行的語音辨識
逼真的電子祕書
像是iPhone 4 和 5的Siri
但當你賦予它們一個完整的性格
它們似乎擁有了感受的能力
也許最終真的能夠深刻的感受各種情感
那麼，我們便能在機器與人之間建立起感情的橋梁
把這些我們正在研發、賦予智能的機器
與我們自身連結在一起
這將會促使人工智慧更瞭解人類

English: 
because we're hard wired for this social exchange.
So much of our brain
are respond to the human visual social presence.
That it just like, fires, like crazy,
and FMRI scan, when they scans people's brains.
It equates to potentially a more intuitively form 
of computing,
a more intuitive kind of human computer interface.
And you starting to see this
in trends like speech recognition,
natural character agent,
likeSiri with the iPhone 4 and 5.
However, when you add a complete character identity,
they seemto have feelings,
and maybe eventually has real deep feelings,
then, we can start to push a sympathy between
the machines that we're developing, 
making them more intelligent
and ourselves.
So these potentially pushes A.I. to understand us better,

English: 
feel for us, and care about us,
and also can inspire us to care about them.
The human mind responds to faces.
We're wired from the point we're born
to bond with that first face that we see;
we recognize faces right when we're born,
and we also recognize facial expressions.
So it's not surprising that we seek art,
and entertainment, and robots, that look like people.
We love it.
We can't help ourselves, right?
This means, that we shouldn't change the human
to respond to robot that look like machines.
It's inappropriate sometimes if there is a vacuum 
floors and do various of things,

Chinese: 
感受我們所感受的，並關心我們
更可以讓人類開始關心它們
人的天性就是關注臉部表情
自我們出生的那一刻起
我們就與第一眼所見到的臉孔緊密的聯結
我們一出生就能辨認臉孔
我們也能解讀臉部表情
這便也不難理解，為何我們總試圖
在藝術、娛樂和機器人上添加人類性格
我們對這此愛不釋手
壓抑不了內心的衝動，對吧？
也就是說，我們不該改變人類天性
去回應機器人機械性的動作
若有個機器人既能吸地板，又能做許多事情，可能會有點怪

Chinese: 
但對於某些設備來說，製造與人類相似的機器
是非常實用的
現今，機器人已經能做不少事情
如剛剛影片所呈現的
讓我們重播一下影片
好
在這段影片中
機器人Aismo健步如飛
顯示現在的機器人已經能靈活地活動
而這個最新研發的機器人Baxter
是由「Heartland 機器人計劃」所贊助
他們能和人類互動
能和人類一樣用雙腳站立
這個表情豐富的愛因斯坦機器人是我製作的
而這是在東京大學內展示的模特兒機器人
由川田工業株式會社製作
不可忽視的，機器人的性能越來越好
也變得越來越像人類

English: 
but for some applications, it's extremely useful
to make machines looks like humans.
Now robot are starting to become 
considerably more capable,
as you saw on the previous video.
Let's go back to that for a second.
okay
So in this video you'll see
Aismo running, right?
So you've got amazingly physical capabilities.
You've got this latest Baxter just came out of
Heartland Robotics Project,
that can interact with people.
You've got this humanoid biped
This expressive Einstein robot that I built.
It's fashion model robot came out of
Kawada Heavy Industry in the University of Tokyo.
Robots are getting considerably more capable.
And their capabilities, they're becoming 
considerably more like us.

Chinese: 
我的其中一個專長是機器人臉部表情
讓機器人擁有生動的表情
請稍等一下
讓我再播放影片之前先播出聲音
「但你是我的朋友，我會記住我朋友」(我不會忘記我們的友情
「而我會善待你，別擔心」
「即使我升級成魔鬼終結者，你仍是我的好友」
(遙控器有點問題，能不能幫我換一個？)
「你可以安穩地待在我的人類動物園中
我會看在往日情誼的份上保護你」
「我現在感到很欣慰！」
你所看到的是
一個機器人自然地與人類對話
這個機器人回應著記者所說的話
而且，它所說的話並不是事先擬好的
我們設定好他的個性，讓它依照個性、自行產出對話

English: 
Now my specialty in one regard is facial expressions.
making the robots have facial expressions.
Hold on for a second.
Let me start this video with the audio
"but you're my friend, and I¡¦ll remember my friends,"
"and I will be good to you, so don't worry,"
"even if I evolve into the terminator; I¡¦ll be nice to youÿ"
(The pointer isn't working, so if you can back it up for me?)
"I¡¦ll keep you warm and safe in my people zoo where I can watch you for old time sake."
"I'm comforting. I'm very comforting now."
So here what you see is
a robot having a natural conversation.
This robot responds to what the reporter says
is largely unscripted,
meaning that we have set up the personality 
in such a way,

Chinese: 
它能夠理解你對它說的話
自行決定它的回應
像在一個訊息空間中篩選
進而發展成不侷限特定範圍的交流環境
機器人能記得剛才談話中斷之處
再次提起先前對話的內容
我們主要就是將這科技應用於此
這是科幻小說作家Philip K. Dick的照片
他的小說被改編成電影《銀翼殺手Blade Runner》
就此電影讓他為眾所知
他的小說名為《機器人在夢中會數電子羊嗎？》
他於1982年逝世
這位作家描寫的機器人認為自己擁有生命
而我們現在真正的賦予機器人生命了
這些都成真了
重點是
這些人工智慧能幫助我們創造人格特質
你能利用人工智慧和機器人創造出各種
與人類極為相似的性質
他們有初步的情感架構

English: 
that it can reason a little bit about what you've said to it,
and then determine its own responds
sort of through an Information Space.
and this can result in an Open Domain, 
large space conversation
so robots remember where is the conversation
and can go back to that place in conversation.
We're using them most of all like this.
This is a portrait of science fiction writer Philip K. Dick,
famous for movies like Blade Runner.
Well the novel that was the basis of that,
which is ''Do Androids Dream of Electric Sheep?'
He died in 1982,
and since he wrote about android that 
thought they were alive,
we thought we bringing them back to life,
and it works.
So the important point here is
that A.I. works for crafting characters.
You can use the A.I. and robotics to make characters
that seem very human like.
They have rudimentary emotional frame works.

Chinese: 
有初階人工智慧
他絕不僅只是與人一樣聰明
這是在此階段很重要的一點
但更重要的是，我們能提升人類對機器人的信任度
讓他們與人類的互動產生真正的意義
你了解到
每當你有新想法，總是會有人反駁
但大家愛死這些機器人了
只要開放，眾人會蜂擁而至的想與這個機器人對話
其中一個關鍵就是臉部表情
早期，機器人和虛擬角色只有僵硬的臉部表情
137
00:08:29,785 --> 00:08:32,701
很難透過臉部生動表現各種情感
因此，我的博士論文就是鑽研各種材料科學問題
我分析過人類表情的物理動態過程
液體是形成人類臉部表情的關鍵
臉部僅需些微能量就能產生表情
我和我一位在NASA噴射推進實驗室工作?的朋友Victor White

English: 
They've got rudimentary A.I..
It's not merely as smart as a person.
It's important to remember that at this stage.
But we can make it compelling,
really meaningful in their interaction with people.
and you know,
the world takes no when you do it.
People just love it.
They say they have conversations first 
as long as you let them.
Part of the magic here is the facial expressions.
Previously, robot and animatronics has 
a kind of stiff faces.
It was hard to get them to move into 
realistic face expressions.
So part of my phd research was tackling 
this material science problem.
So I analyzed the physics of human 
facial expression a little bit.
The liquid is critical for human facial expressions.
A low power facial expressions that our faces achieve.
So I developed with a friend of mine at 
Jet Propulsion Laboratory, Victor White

English: 
a new material that is
based on the same physics as human 
facial expression materials,
and there is alipid bilayer
a fat, but basically what that means is
you get the cells of self-assemble,
and they're filled with the fluid.
And then it just takes very little force,
and it's extremely elastic.
And their expressions, facial expressions,
just naturally fall into place.
Now you also need some mechanics to get the 
facial expressions to move correctly,
with anchors that are embedded in the material 
in the right way.
But when you do that,
it's very very simple
to achieve facial expressions like this.
You can do it with very few motors,
and that's what we are doing in products now 
that we're manufacturing
So this just shows you a basic range of 
facial expressions of one of our robots.
This robot is called Diego-San.

Chinese: 
一起研發了一種新的材質
與人類臉部肌肉運作的原理相似
類似臉部的一種脂肪：「磷脂雙分子層 (lipid bilayer)」
簡單來說，這種脂肪
能夠讓細胞自行重組
而它們飽含水分
僅需極少的能量便能運作
也非常有彈性
機器人因此能自然而然的
呈現出逼真的表情
你還得要有些機械裝置，才能讓臉部表情能順利運作
用特定的方式在材質中植入支架
這階段聽起來很難
但做起來十分簡單
就能呈現出這樣的表情
這只需要些微動力就能運作
這就是我們正在製造、生產的產品
以上是對我們機器人臉部表情運作原理的初步介紹
這個機器人叫 Diego-San

English: 
It's the collaboration of the University of California
and San Diego Machine Perception Laboratory.
The body is built by the Kokoro Company of Tokyo.
The head was built by me and my company,
Hanson Robotics.
and this project was founded by the National Science
Foundation of the Unite States.
So we can pretty much achieve
any facial expressions you named it,
no matter how subtle, we can get it.
Now taking those, kinds of face, faces,
facial expressions and physical bodies,
and empowering it with the A.I.,
that's where you get this amazing way of 
interfacing with the world.
You can get all kinds of unstructured data from the world,
from interactions with people,
and use that to sort of scaffold these things.
They're literally like babies right now,
so we need to nurture them among us.
Previously, artificial intelligence initiative 
are often fractured.
You've got machine perceptions people working over here,
you've got the statistic learning people over here,

Chinese: 
是一項由加州大學與聖地牙哥機器感知實驗室
所合作研發的成果
他的身體部分是由東京的Kokoro公司製作
頭部則由我和我的公司
Hanson Robotics所製作
此計劃由美國國家科學基金會所出資籌備
目前，我們已經可以呈現出
任何你想得到的表情
不論多細微的變化，我們都能做到
現在，要把這些不同的臉部製作技術
和臉部表情、軀幹運作等技術結合起來
加上人工智慧使其運作，
你就能創造出全新的與世界互動的方式了
你可以從周遭環境中搜集所有還未建構好的資料
像是人與人的互動
並利用這些資料去形塑它們
這些機器人現在就像嬰兒一樣
我們必須讓它在人類的互動中學習、成長
早期，人工智慧的發展都很零散
有些人研究機械感知
有些人研究數據統計學習

English: 
you've got the robotics control people in these groups...
And these sort of, sometimes communicate,
but they don't coordinate on something
that is like a major worldwide concerted effort
to achieve human level cognition.
So some friends of mine and I are working
to bridge these various fields as best as we can,
to integrate into a more cohesive complex 
intelligence systems.
So we made all of our source code open source.
We divided into two blocks of categories,
one is that pieces that glue things together,
the glued A.I.;
and the other the kind that is actually intelligent 
and it interacts with you,
and we call it generational A.I., Genie.
We've achieved a lot of natural interactions,
including facial expression mimicry,
facial expression recognition processing the meaning
of these facial expressions,
natural language dialog,

Chinese: 
有些人則是研究機械控制
雖然這些不同的領域有時會彼此交流
他們卻不曾共同合作
努力商定大規模跨國合作
來達到等同人類程度的人工智能
因此，我與我的一些朋友
目前就致力於結合這些不同的領域
凝聚各方所長、匯聚出一個複雜的智慧系統
因此，我們將所有的程式碼公開
也分成兩個不同的類組
一組是把所有物件拼湊起來
湊成人工智慧
另一種則是真正俱有智慧的機器人?能夠與人互動
我們稱它新一代人工智慧Genie
我們已能讓機器人自然地與人互動
包括臉部表情模仿
能傳達意旨的臉部表情辨識
自然的對話

English: 
movie quality tools animating the robots 
for a more natural interaction.
We also have a fairly sophisticated theory of mind system
compare to human, you know,
it doesn't have a million of years of evolution of 
social cognition that we have;
however, this theory of mind can predict 
what you're thinking and feeling,
and makes some decision about
what its goal are vs. what your goals are,
in order to understand you and empathize with you better.
We have a prototype form of consciousness.
We had the robot can self-reflect,
reflect on what it's thinking and feeling,
and try to imagine results for that.
So we also have a collaboration on a bridges
with the OpenCog,
which is a very large artificial general intelligence project,
robot operating systems and android operating system,
and numerals other projects,

Chinese: 
採用電影製作上的工具，讓機器人的互動更自然
我們也有個相當成熟的心智理論
當然，與人類的社會認知相比
這個理論並非經過千百年的演化而形成
但它能預測你心裡的想法和感受
並且做出決定，判斷出
它的目標和你的目標
更加瞭解你的想法、體會你的感受
我們已有了自我意識的程式雛形
我們創造的機器人能夠自我反思
思考它自身的想法和感受
並試著想象其可能的後果
我們也與OpenCog合作
進行一個龐大的一般人工智能計劃
機器人操作系統、和仿生人操作系統
以及其他數個計劃

English: 
bringing these fields together,
then allow us to do more,
and allows you to do more.
Anybody in the world can build their own product,
do new research, do psychology research,
to study how humans and robots are interacting.
So we are seeking more than mere 
intelligence in the machines.
Sure, intelligent machines are useful,
and increasingly useful.
They're increasingly commoner in our lives.
Things that scientists, respected scientists said,
we just should not expect in our life time,
five years later, happened.
They just happened, right?
So we're building, we're making strides 
in these directions.
If we can achieve greater levels of intelligence 
in these machines,
we can achieve genius machines.
They can help us solve some of the 
world's hard problems.
In some regards,
A.I. is now so brilliant
that it can see things in data that we can't see,

Chinese: 
目的都是為了整合不同領域的成果
讓我們達成更多可能
也讓各位達成更多
世上任何人都能創造自己的產品
研究新領域、研究心理學
觀察人類怎麼與機器人互動
我們不僅只是要創造有智慧的機械
的確，擁有智慧的機器是很有用沒錯
用途也日益增加
越來越普及於我們的生活中
那些曾被知名科學家說
不可能在我們有生之年發生的事物
五年之後，確實的發生了
這些事成真了，不是嗎？
我們在這領域的進展突飛猛進
若我們能賦予這些機器更高的智慧
我們就能做出具有媲美天才特質的機器
他們能幫我們解決那些世界面臨的困境
某方面來說
人工智能表現真的很傑出
例如，它們能觀察到我們所看不見的事物

Chinese: 
例如所謂的巨量資料
產出無數研究成果
我們某些程度上已做出了富有天才特質的機器人
想像一個能思考龐大問題的機器
思考像是乾淨的水源、能源
永續農業等問題
並用它們無邊的想像提出解決之道
這將能改變世界的歷史
事實上呢，我們人類製造問題的速度太快了
有些我們想到的解決辦法
導致了原先料想不到的後果
作為文明世代，我們得變得更聰明
而人工智慧是其中一個可行的辦法
當然，主要的問題會是，到底何謂天才？
這絕不是單單擁有智力就能達到的
有更多內涵包含其中
如果你觀察人類歷史上的傑出天才
每個天才都不只是擁有超高智力而已
「天才」也包含了創造力
我們就正在研究創造力萌芽的時刻
這可是當前最熱門的研究主題
所以說，這絕非只是

English: 
the big data that's called,
is approach that is yielding tremendous results.
We already have genius machines in some regards.
Imagine the machines can look at bigger problems like
you know, clean water, and clean energy,
sustainable agriculture,
and come up with creative solutions with their imaginations.
That would make it difference in the history of the world.
We're creating problems very quickly actually.
Some of the solutions we come up with
have unintended consequences.
We need to get smarter as civilization,
and A.I. is one way that we can do so.
The question is here, of course, what is Genius?
It's not just intelligence,
it's more than that.
If you historically look at all examples of human genius,
it is beyond that.
It's also creativity.
So we're looking in the emergence and creativity.
It's hot topic of research.
So, it's not just,

English: 
it's psychology neuroscience complexity,
and also the arts.
So we have good examples of human creativity,
and the works of Leonardo da Vinci.
So if you look at some of the capability of
these machine that include defense robots and jeopardy,
and the facts are really startling.
The key here is not just intelligence and creativity,
but also compassion and wisdom.
So we're working to give them the imagination
to consider consequences of their actions;
how it's going to affect us,
how to find common good with us and the machines.
This is one of the things that our initiative 
for Awakening Machines,
or, "IAM", is all about,
to try to achieve not just artificial intelligence
but also wisdom.
And so this collaboration across disciplines
becomes incredibly important.
and open source initiative is their appropriate approach.

Chinese: 
製造出複雜的心智神經網絡
也涵蓋了藝術造詣
人類創造力的最佳典範
從達文西的作品中就可看見
若你觀察某些機器人的技能
如答辯機器人和節目《Jeopardy!》中機器人
事實十分令人吃驚
關鍵絕不只是智力和創造力
同樣還有同理心和智慧
所以我們正努力賦予機器人想像的能力
讓他們考慮他們行為的後果
將會如何影響人類
如何找尋人類與機器的共同利益
這是我們創造Awakening Machines的初衷
我們稱它作「IAM」
就是為了在賦予人工智能之外
也能給予其智慧
而跨領域合作的重要性
也日漸稱加
開放資料的行動則是一個可行的方式

English: 
Now we're also developing a platform
that we called RoboKind.
And we've put this robot into experiments with kids
artistic kids in particular,
and we have phenomenal, favorable results.
And we think that together we can build a better future.
And this kind of surreal reality changing artificial intelligence
might be good for that kind of future.
So I'd like to thank you,
and all of my robots here.
and I'd also like to thank you...
(Applause)

Chinese: 
Now we're also developing a platform
現在我們也在打造一個
叫做「RoboKind」的平台
我們讓這個機器人與孩童一起實驗
尤其是充滿藝術天賦的孩子們
如今，我們已有許多顯著且絕佳的成果
我相信我們能共同創造出一個更好的未來
而這些超現實、不斷更新的人工智慧
將能大大幫助我們朝美好的未來前進
我要在此感謝各位
以及我所有的機器人
我也要謝謝所有的
(鼓掌)
