ABOUT THE SPEAKER
Heather Knight - Roboticist
Heather Knight runs Marilyn Monrobot, which creates socially intelligent robot performances and sensor-based electronic art. (and she helped build the amazing Rube Goldberg machine for OK Go’s “This Too Shall Pass.")

Why you should listen

Heather Knight is conducting her doctoral research at the intersection of robotics and entertainment at Carnegie Mellon’s Robotics Institute. She runs Marilyn Monrobot in New York, where she and her cohort create “charismatic machine performances.” As she describes it: “In one example, robot and human actors will perform the same script and basic set of actions, but each time vary the emotional and social content of those interactions. This variation will ... allow the general public to craft and hone robot personalities.”

Her installations have been featured at the Smithsonian-Cooper Hewitt Design Museum, LACMA, SIGGRAPH, PopTech and the Fortezza da Basso in Florence, Italy. Her past work also includes robotics and instrumentation at NASA’s Jet Propulsion Laboratory, interactive installations with Syyn Labs (including the award- winning Rube Goldberg machine music video with OK Go), and sensor design at Aldebaran Robotics. She was recently named Assistant Director of Robotics at Humanity+.

More profile about the speaker
Heather Knight | Speaker | TED.com
TEDWomen 2010

Heather Knight: Silicon-based comedy

希瑟·奈特Heather Knight:机器人喜剧表演

Filmed:
880,023 views

在本次初露头角的展演上,希瑟·奈特向大家介绍了Data,它是一个能表演脱口秀的会站立的机器人,它能做的不只是快速地说出一小段的笑话,它还能收集观众的反应(使用的软体是由卡内基美隆大学的斯科特·萨特金Scott Satkin和瓦润·罗摩克里希纳Varun Ramakrishna共同开发完成)和配合观众的反应调整它自己的行为。这是真的吗?
- Roboticist
Heather Knight runs Marilyn Monrobot, which creates socially intelligent robot performances and sensor-based electronic art. (and she helped build the amazing Rube Goldberg machine for OK Go’s “This Too Shall Pass.") Full bio

Double-click the English transcript below to play the video.

00:15
Some of the greatest最大 innovations创新
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一些最伟大发明
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and developments发展 in the world世界
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和世界上的重大发展
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often经常 happen发生 at the intersection路口 of two fields领域.
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经常发生在两个领域的交集的地方。
00:22
So tonight今晚 I'd like to tell you
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所以今天晚上我想要向你们介绍的是
00:24
about the intersection路口 that I'm most excited兴奋 about at this very moment时刻,
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在这个非常时刻,最令我兴奋的的交会点
00:27
which哪一个 is entertainment娱乐 and robotics机器人.
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那就是娱乐和机器人科技。
00:29
So if we're trying to make robots机器人
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如果我们尝试着要让机器人
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that can be more expressive表现的
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能够更具备表达能力
00:33
and that can connect better with us in society社会,
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而且能够和我们在社会上有更良好的互动,
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maybe we should look to some of the human人的 professionals专业人士
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也许我们应该关注一些专业
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of artificial人造 emotion情感 and personality个性
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像表达感情和个性的人类学专业领域
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that occur发生 in the dramatic戏剧性 arts艺术.
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的戏剧表演。
00:43
I'm also interested有兴趣 in creating创建 new technologies技术 for the arts艺术
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我也对为艺术创造出新的科技有兴趣
00:46
and to attract吸引 people
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去吸引大众
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to science科学 and technology技术.
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对于科学和技术的关注。
00:51
Some people in the last decade or two
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在过去的一二十年里,有些人
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have started开始 creating创建 artwork艺术品 with technology技术.
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已经开始运用科技来创造艺术。
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With my new venture冒险, Marilyn玛丽莲 MonrobotMonrobot,
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而玛里琳机器人Marilyn Monrobot,是我新的投资尝试
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I would like to use art艺术 to create创建 tech高科技.
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我想要运用艺术去创造科技。
01:05
(Laughter笑声)
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(笑声)
01:07
So we're based基于 in New York纽约 City.
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我们的总部设在纽约市。
01:09
And if you're a performer演员 that wants to collaborate合作
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如果你是一位表演者,想要和
01:11
with an adorable可爱的 robot机器人,
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一个可爱的机器人合作的话,
01:13
or if you have a robot机器人 that needs需求 entertainment娱乐 representation表示,
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或是你有一个机器人需要娱乐表演的话,
01:16
please contact联系 me, the Bot-Agent博特代理.
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请与我联络,我是机器人的经纪人。
01:19
The botBOT, our rising升起 celebrity名人,
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这个机器人,它是我们新崛起的名人,
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also has his own拥有 Twitter推特 account帐户: @robotinthewildrobotinthewild.
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它也有自己的推特Twitter帐号:@robotinthewild。
01:24
I'd like to introduce介绍 you to one of our first robots机器人, Data数据.
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现在我为你们介绍首批机器人中的其中一个,它是Data。
01:27
He's named命名 after the Star Trek跋涉 character字符.
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它的名字是取自星际旅行中的一个角色。
01:29
I think he's going to be super popular流行.
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我认为它在未来将会特别受欢迎。
01:31
We've我们已经 got the robot机器人 --
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我们给这个机器人
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in his head is a database数据库 of a lot of jokes笑话.
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的头脑里装有一个储存很多笑话的资料库。
01:36
Now each of these jokes笑话 is labeled标记 with certain某些 attributes属性.
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里面每一个笑话都标记着不同的属性。
01:39
So it knows知道 something about the subject学科; it knows知道 about the length长度.
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所以它会知道笑话的主题,也会知道笑话的长度。
01:41
It knows知道 how much it's moving移动.
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还有它会知道笑话的好笑程度。
01:43
And so it's going to try to watch your response响应.
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现在它要尝试看看你们的反应。
01:45
I actually其实 have no idea理念 what my robot机器人 is going to do today今天.
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事实上,我也不知道今天我的机器人要做什么样的表演。
01:48
(Laughter笑声)
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(笑声)
01:50
It can also learn学习 from you
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它也会从你们
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about the quality质量 of its jokes笑话
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了解它说笑话后的反应效果
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and cater迎合 things, sort分类 of like Netflix-styleNetflix的风格,
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还有如何应答,像是Netflix那样
01:56
over longer-term长期
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长期下来
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to different不同 communities社区 or audiences观众,
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学习了解不同的族群或观众
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children孩子 versus adults成年人, different不同 cultures文化.
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了解儿童和成人,不同的文化。
02:03
You can learn学习 something from the robot机器人
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你们也能从机器人身上学到
02:05
about the community社区 that you're in.
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有关你们所处的社会里的事物。
02:07
And also I can use each one of you as the acting演戏 coach教练
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我也能把你们每一个人当作是
02:10
to our future未来 robot机器人 companions同伴.
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我们未来的机器人伙伴的表演教练。
02:13
Some of you in this middle中间 section部分 --
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所以你们坐在中间这一块的。
02:15
you have red/green绿色 paddles.
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你们手上有红色和绿色的板子。
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If you like what's going on,
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如果你喜欢现在的表演,
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show显示 the green绿色.
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就把板子转绿色的这面。
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If you don't like the subject学科 or the performance性能,
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如果你不喜欢它表演的主题或它的表现,
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you can hold保持 the red.
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你就把板子转成红色。
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Now don't be shy害羞.
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好,大家不要害羞。
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It's just a robot机器人.
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因为它只是一个机器人;
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It doesn't have feelings情怀 ... yet然而.
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它不会有任何感觉的...至少现在还没有。
02:33
(Laughter笑声)
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(笑声)
02:35
And the rest休息 of you,
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至于其他人,
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you still count计数, you still matter.
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你们同样能当它的表演指导。
02:39
There's also a microphone麦克风
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这里有麦克风
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that's listening to the aggregate骨料 laughter笑声 and applause掌声
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可以收听到大家的笑声和掌声
02:43
and booing起哄 -- I hope希望 not --
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还有嘘声,不过我希望这不会发生
02:46
to help make some of its next下一个 decisions决定.
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这些声音会帮助它做下一个选择。
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Right, so,
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好,那么,
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let the robot机器人 stand-up站起来 comedy喜剧 begin开始.
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我们让这场机器人喜剧表演开始吧。
03:05
Data数据: Hello你好 TEDWomenTEDWomen.
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Data:哈啰,TEDWomen。
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It's an honor荣誉 to be here.
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很荣幸来到这里。
03:09
(Laughter笑声)
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(笑声)
03:11
(Applause掌声)
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(掌声)
03:18
You guys are looking good out there.
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你们大家看起来都很好。
03:20
Ready准备 for some jokes笑话?
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准备好要听些笑话了吗?
03:23
Audience听众: Yeah.
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(观众:是的)
03:25
Data数据: Here's这里的 the first one.
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我要说第一则了。
03:28
Right, so,
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好,
03:30
a doctor医生 says to his patient患者,
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一位医生告诉他的病人说,
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"I have bad news新闻 and worse更差 news新闻.
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“我有一个坏消息和一个更坏的消息要告诉你。
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The bad news新闻 is that you only have 24 hours小时 to live生活."
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坏消息就是你只剩下24小时可以活命。”
03:39
"That's terrible可怕," said the patient患者.
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病人说,“那真是太可怕了。”
03:42
"How can the news新闻 possibly或者 be worse更差?"
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病人又说:“那还有什么会比这消息更糟糕的呢?”
03:45
"I've been trying to contact联系 you since以来 yesterday昨天."
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医生说:“从昨天开始我就一直试图要告诉你这个。”
03:48
(Laughter笑声)
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(笑声)
03:50
(Applause掌声)
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(掌声)
03:52
The Swiss瑞士人 have an interesting有趣 army军队. Five hundred years年份 without a war战争.
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瑞士军队很有意思,五百年来他们都没打过战。
03:55
Heather石南属 Knight骑士: He's talking about the Swiss瑞士人.
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希瑟·奈特:它现在正在说瑞士。
03:57
Data数据: Pretty漂亮 lucky幸运 for them.
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Data:他们挺幸运的。
03:59
Ever see that little Swiss瑞士人 Army军队 knife
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看过他们拿着那小瑞士军刀
04:01
they have to fight斗争 with?
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打战没?
04:04
"Come on buddy伙伴, I have the toe脚趾 clippers剪子 right here.
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“来吧,我这里有一支指甲剪。
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You get past过去 me,
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你得超过我,
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the guy behind背后 me has a spoon."
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因为在我后面的那个人他有勺子。”
04:11
(Laughter笑声)
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(笑声)
04:13
HKHK: He's a French法国 robot机器人.
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HK:它是法国的机器人。
04:15
Data数据: A couple一对 of New Jersey新泽西 hunters猎人 are out in the woods树木.
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Data:几位纽泽西的猎人从森林里出来。
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One of them falls下降 to the ground地面.
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其中一人倒在地上。
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He does not seem似乎 to be breathing呼吸.
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他看起来没有在呼吸。
04:23
The other guy whips鞭子 out his cell细胞 phone电话
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另外一个人拿出他的手机
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and calls电话 911.
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打911。
04:28
He gasps喘气 to the operator操作者, "My friend朋友 is dead.
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他倒抽一口气对总机说,“我朋友死了。
04:31
What can I do?"
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我该怎么办?”
04:33
The operator操作者 says, "Just take it easy简单.
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总机说,“先别慌。
04:35
I can help.
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我可以帮助你。
04:37
First, let's make sure he's dead."
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首先,让我们先确定他已经死了。”
04:40
There is a silence安静,
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电话那头一阵沉默,
04:42
and the operator操作者 hears就听 a shot射击.
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然后总机听到了一声枪声。
04:44
The guy's家伙 voice语音 comes back on the line线,
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刚那个人又对总机说,
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"Okay, now what?"
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“好,那现在该怎么办?”
04:49
(Laughter笑声)
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(笑声)
04:51
(Applause掌声)
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(掌声)
04:53
Question: Why is television电视 called a medium?
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问:为什么电视会叫做媒体? (medium在英文有双关语)
04:55
Anyone任何人?
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有人要回答吗?
04:57
Because it's neither也不 rare罕见 nor也不 well doneDONE.
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因为它既不是半生的也不是熟透了(肉类烹煮五分熟的英文称为medium)。
05:00
But to be completely全然 honest诚实 with you,
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不过在这里我要非常诚实的告诉你,
05:03
I kind of love television电视.
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我也爱看电视。
05:05
Any of you like television电视? Audience听众: Yes.
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你们喜欢看电视吗?(观众:是的。)
05:07
Data数据: I find it incredibly令人难以置信 educational教育性.
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我觉得看电视富有教育意义。
05:10
Actually其实, as soon不久 as someone有人 turns it on,
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事实上,每当有人打开电视,
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I go into the other room房间 and read.
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我马上就到另一个房间去看书。
05:15
(Laughter笑声)
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(笑声)
05:20
That's all for now.
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大概就是这样啦。
05:22
Was that okay for my first time?
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我第一次的表现好吗?
05:24
(Applause掌声)
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(掌声)
05:33
You've been a great audience听众.
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你们都是很好的观众。
05:35
Thank you.
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谢谢你们。
05:37
HKHK: Yay好极了.
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HK:是阿。
05:39
(Applause掌声)
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(掌声)
05:43
So this is actually其实 the first time
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事实上这是第一次
05:45
we've我们已经 ever doneDONE live生活 audience听众 feedback反馈 to a performance性能.
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我们第一次现场表演和观众有互动。
05:48
So thank you all for being存在 a part部分 of it.
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谢谢你们能参与我们的表演。
05:50
There's a lot more to come.
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往后会有更多表演。
05:53
And we hope希望 to learn学习 a lot about robot机器人 expression表达.
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我们希望能了解到更多有关机器人的表达能力。
05:55
Thank you very much.
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非常谢谢大家。
05:57
(Applause掌声)
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(掌声)
Translated by Jenny Yang
Reviewed by Angelia King

▲Back to top

ABOUT THE SPEAKER
Heather Knight - Roboticist
Heather Knight runs Marilyn Monrobot, which creates socially intelligent robot performances and sensor-based electronic art. (and she helped build the amazing Rube Goldberg machine for OK Go’s “This Too Shall Pass.")

Why you should listen

Heather Knight is conducting her doctoral research at the intersection of robotics and entertainment at Carnegie Mellon’s Robotics Institute. She runs Marilyn Monrobot in New York, where she and her cohort create “charismatic machine performances.” As she describes it: “In one example, robot and human actors will perform the same script and basic set of actions, but each time vary the emotional and social content of those interactions. This variation will ... allow the general public to craft and hone robot personalities.”

Her installations have been featured at the Smithsonian-Cooper Hewitt Design Museum, LACMA, SIGGRAPH, PopTech and the Fortezza da Basso in Florence, Italy. Her past work also includes robotics and instrumentation at NASA’s Jet Propulsion Laboratory, interactive installations with Syyn Labs (including the award- winning Rube Goldberg machine music video with OK Go), and sensor design at Aldebaran Robotics. She was recently named Assistant Director of Robotics at Humanity+.

More profile about the speaker
Heather Knight | Speaker | TED.com

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