TED2017
Marc Raibert: Meet Spot, the robot dog that can run, hop and open doors
马克·莱伯特: 机械狗可以跑步，跳跃，开门了！
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Readability: 3.8
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未来的科技发展在机器人可以完成人和动物做的事上和我们想象的很接近了。波士顿动力公司创始人马克有望发明一些可以像猎豹一样疾驰，能越过10英寸厚的雪地，用两条腿走路，甚至会开门送快递的先进机器人。下面一起看看莱伯特现场演示迷你敏捷的机器人如何映射周围环境，拿物体以及爬楼梯。或许不久之后还能帮助你摆脱困境。
Marc Raibert - Roboticist
Marc Raibert is the founder and CEO of robot maker Boston Dynamics. Full bio
Marc Raibert is the founder and CEO of robot maker Boston Dynamics. Full bio
Double-click the English transcript below to play the video.
00:19
(Laughter)
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（笑声）
00:24
(Laughter)
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（笑声）
00:36
That's SpotMini.
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这是SpotMini，
它过一会儿还会回来。
00:38
He'll be back in a little while.
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00:39
I --
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我——
（掌声）
00:40
(Applause)
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00:45
I love building robots.
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我喜欢建造机器人。
00:48
And my long-term goal is to build robots
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我远期的目标是发明
可以像人类和动物一样行动的机器人。
00:51
that can do what people and animals do.
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00:54
And there's three things in particular
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我们尤其感兴趣的
00:57
that we're interested in.
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有3个方面，
01:00
One is balance and dynamic mobility,
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其一是平衡和动态运动，
其二是移动操控，
01:03
the second one is mobile manipulation,
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其三是移动感知。
01:06
and the third one is mobile perception.
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01:09
So, dynamic mobility and balance --
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首先，关于动态运动和平衡——
01:12
I'm going to do a demo for you.
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我来做个演示。
01:15
I'm standing here, balancing.
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我站在这里。保持着平衡。
01:18
I can see you're not very impressed.
OK, how about now?
OK, how about now?
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我知道你们并没有
觉得很惊讶，那现在呢？
觉得很惊讶，那现在呢？
（笑声）
01:21
(Laughter)
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这次呢？
01:22
How about now?
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（鼓掌）
01:23
(Applause)
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01:26
Those simple capabilities mean that people
can go almost anywhere on earth,
can go almost anywhere on earth,
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这些简单的能力使得
我们可以走到世界各个角落，
我们可以走到世界各个角落，
无论哪种地形。
01:30
on any kind of terrain.
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我们也希望机器人可以这样。
01:32
We want to capture that for robots.
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01:35
What about manipulation?
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那么，操控能力呢？
01:37
I'm holding this clicker in my hand;
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我手里拿着点击器，
我都不用看，
01:39
I'm not even looking at it,
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就可以轻而易举地操控它。
01:40
and I can manipulate it
without any problem.
without any problem.
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但更重要的是，
01:43
But even more important,
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我可以在拿着操控器的
时候随意变换姿势，
时候随意变换姿势，
01:46
I can move my body while I hold
the manipulator, the clicker,
the manipulator, the clicker,
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01:52
and stabilize and coordinate my body,
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我的身体还是很稳定，保持协调，
01:54
and I can even walk around.
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我还能随意走动。
01:56
And that means
I can move around in the world
I can move around in the world
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也就是说我可以来回走，
即使伸开我的手臂和手，
01:59
and expand the range
of my arms and my hands
of my arms and my hands
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我也可以拿着几乎任何的东西。
02:02
and really be able to handle
almost anything.
almost anything.
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这就是所谓的移动操控。
02:04
So that's mobile manipulation.
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02:07
And all of you can do this.
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你们都能做到。
02:09
Third is perception.
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第三是感知。
我看着有1000多个人的房间，
02:11
I'm looking at a room
with over 1,000 people in it,
with over 1,000 people in it,
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02:14
and my amazing visual system
can see every one of you --
can see every one of you --
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我的视觉系统
让我可以看见你们每一个人，
让我可以看见你们每一个人，
02:19
you're all stable in space,
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你们都静静的坐着，
即使我有时转个头，
02:21
even when I move my head,
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或者来回走。
02:22
even when I move around.
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这种移动感知对于
要移动和做动作的
要移动和做动作的
02:24
That kind of mobile perception
is really important for robots
is really important for robots
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机器人来说，
02:28
that are going to move and act
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很重要。
02:29
out in the world.
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02:32
I'm going to give you
a little status report
a little status report
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我在这里要分享一个状态报告，
02:34
on where we are in developing robots
toward these ends.
toward these ends.
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关于我们研究机器人的进展现状。
02:40
The first three robots are all
dynamically stabilized robots.
dynamically stabilized robots.
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前三种都是有动态稳固性的机器人，
这个是10年前设计的，
02:45
This one goes back
a little over 10 years ago --
a little over 10 years ago --
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BigDog。
02:47
"BigDog."
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02:48
It's got a gyroscope
that helps stabilize it.
that helps stabilize it.
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它有一个陀螺仪来保持稳定，
装有传感器和控制电脑。
02:52
It's got sensors and a control computer.
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02:55
Here's a Cheetah robot
that's running with a galloping gait,
that's running with a galloping gait,
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这个是猎豹机器人，
以飞快的步伐跑动，
以飞快的步伐跑动，
它可以重复循环利用能源，
02:58
where it recycles its energy,
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03:00
it bounces on the ground,
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在地上跳跃，
为了能保持稳定的驱进，
03:02
and it's computing all the time
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03:03
in order to keep itself
stabilized and propelled.
stabilized and propelled.
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全程都是电脑操控。
03:08
And here's a bigger robot
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这个更大的机器人，
03:09
that's got such good
locomotion using its legs,
locomotion using its legs,
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能够熟练使用自己的腿，
在雪中行走，
03:12
that it can go in deep snow.
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这个雪大约 25 厘米厚，
03:14
This is about 10 inches deep,
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03:16
and it doesn't really have any trouble.
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行走完全没有问题。
03:20
This is Spot, a new generation of robot --
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这个新一代机器人Spot，
就比刚才台上的那个
设计得早了一点点，
设计得早了一点点，
03:22
just slightly older than the one
that came out onstage.
that came out onstage.
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03:26
And we've been asking the question --
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我们一直在问一个问题——
你们都知道无人机递送：
03:28
you've all heard about drone delivery:
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我们能用无人机送货上门吗？
03:30
Can we deliver packages
to your houses with drones?
to your houses with drones?
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那用有腿的普通老式
机器人送货怎么样？
机器人送货怎么样？
03:32
Well, what about plain old
legged-robot delivery?
legged-robot delivery?
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（笑声）
03:35
(Laughter)
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03:36
So we've been taking our robot
to our employees' homes
to our employees' homes
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我们把机器人带到员工的家，
看看是否能进去——
03:40
to see whether we could get in --
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（笑声）
03:41
(Laughter)
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进门的路径五花八门。
03:42
the various access ways.
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03:44
And believe me, in the Boston area,
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相信我，波士顿这一带，
有着各式各样弯曲的楼梯和转弯。
03:46
there's every manner
of stairway twists and turns.
of stairway twists and turns.
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这真的是一个挑战。
03:49
So it's a real challenge.
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不过大约70%的路，
我们都走得很顺利。
我们都走得很顺利。
03:50
But we're doing very well,
about 70 percent of the way.
about 70 percent of the way.
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03:54
And here's mobile manipulation,
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这是移动操控，
我们给机器人放了一个手臂，
03:56
where we've put an arm on the robot,
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03:58
and it's finding its way through the door.
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它在找方法进门。
04:01
Now, one of the important things
about making autonomous robots
about making autonomous robots
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不要让它们
完全按照你的指示行动，
完全按照你的指示行动，
是发明自主机器人很重要的一点。
04:05
is to make them not do
just exactly what you say,
just exactly what you say,
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04:08
but make them deal with the uncertainty
of what happens in the real world.
of what happens in the real world.
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要让它们学会处理
真实世界里发生的不确定事件，
真实世界里发生的不确定事件，
04:14
So we have Steve there,
one of the engineers,
one of the engineers,
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这是我们其中一名工程师，史蒂夫，
他正在给机器人制造麻烦。
04:17
giving the robot a hard time.
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（笑声）
04:18
(Laughter)
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04:19
And the fact that the programming
still tolerates all that disturbance --
still tolerates all that disturbance --
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事实上，所编写的程序
仍然能让它抵抗干扰，
仍然能让它抵抗干扰，
做它该做的事。
04:24
it does what it's supposed to.
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04:25
Here's another example,
where Eric is tugging on the robot
where Eric is tugging on the robot
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这是另一个例子，
艾瑞克在机器人上楼梯的时候
艾瑞克在机器人上楼梯的时候
在后面拖拽它。
04:28
as it goes up the stairs.
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相信我，
04:29
And believe me,
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在这种情况下，
让它们保持原计划的行动
让它们保持原计划的行动
04:31
getting it to do what it's supposed to do
in those circumstances
in those circumstances
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绝非易事，
04:34
is a real challenge,
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不过成果可以进行推广，
04:35
but the result is something
that's going to generalize
that's going to generalize
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04:38
and make robots much more autonomous
than they would be otherwise.
than they would be otherwise.
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让机器人比之前更加自主。
04:43
This is Atlas, a humanoid robot.
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这个像人的机器人是Atlas，
04:46
It's a third-generation humanoid
that we've been building.
that we've been building.
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这是我们发明的第三代的机器人。
04:50
I'll tell you a little bit
about the hardware design later.
about the hardware design later.
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待会儿我会介绍一些
硬件设计方面的事情。
硬件设计方面的事情。
我们一直在说：
04:53
And we've been saying:
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04:54
How close to human levels
of performance and speed could we get
of performance and speed could we get
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在一项普通的任务中，
比如在传送带上
比如在传送带上
移动箱子，
04:59
in an ordinary task,
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05:00
like moving boxes around on a conveyor?
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它的性能和速度
跟人类相比还有多少差距？
跟人类相比还有多少差距？
05:04
We're getting up to about two-thirds
of the speed that a human operates
of the speed that a human operates
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平均来讲，我们大约可以
达到人力操纵速度的
达到人力操纵速度的
三分之二。
05:09
on average.
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05:10
And this robot is using both hands,
it's using its body,
it's using its body,
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这个机器人正在使用
它的两只手和身体，
它的两只手和身体，
同时也在行走，
05:13
it's stepping,
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这是动态稳定，
05:15
so it's really an example
of dynamic stability,
of dynamic stability,
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移动操控，
05:17
mobile manipulation
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移动感觉的很好的例子。
05:19
and mobile perception.
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05:22
Here --
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这里——
05:24
(Laughter)
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（笑声）
05:26
We actually have two Atlases.
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我们实际上有两个Atlas。
05:28
(Laughter)
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（笑声）
05:30
Now, everything doesn't go exactly
the way it's supposed to.
the way it's supposed to.
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事情不一定会按照
预想的情况发生。
预想的情况发生。
（笑声）
05:33
(Laughter)
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05:38
(Laughter)
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（笑声）
05:40
(Laughter)
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（笑声）
05:45
And here's our latest robot,
called "Handle."
called "Handle."
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这是我们最新的机器人，Handle，
05:48
Handle is interesting,
because it's sort of half like an animal,
because it's sort of half like an animal,
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它很有意思，有着
像腿又像轮子的东西，
像腿又像轮子的东西，
05:52
and it's half something else
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因为它一半像动物，
05:55
with these leg-like things and wheels.
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一半像其他的东西。
05:58
It's got its arms on
in kind of a funny way,
in kind of a funny way,
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它的手臂很有趣，
但是确实能做出些
让人惊叹的事情。
让人惊叹的事情。
06:01
but it really does some remarkable things.
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它能够承受100磅的重量。
06:03
It can carry 100 pounds.
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很有可能打算举起更重的东西，
06:06
It's probably going to lift
more than that,
more than that,
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不过目前我们只尝试到100。
06:08
but so far we've done 100.
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06:10
It's got some pretty good
rough-terrain capability,
rough-terrain capability,
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它可以很好的适应地形，
即使装有轮子。
06:13
even though it has wheels.
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06:18
And Handle loves to put on a show.
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Handle还很喜欢表演。
06:20
(Laughter)
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（笑声）
06:24
(Applause)
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（鼓掌）
06:30
I'm going to give you
a little bit of robot religion.
a little bit of robot religion.
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我想向你们介绍一点
机器人学的相关知识。
机器人学的相关知识。
06:34
A lot of people think that a robot
is a machine where there's a computer
is a machine where there's a computer
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很多人认为机器人就是一个
听从电脑指示的机器，
06:38
that's telling it what to do,
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06:41
and the computer is listening
through its sensors.
through its sensors.
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同时电脑从传感器接受信息。
06:44
But that's really only half of the story.
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但这只是其中一半。
事实是，电脑在一端
06:46
The real story is
that the computer is on one side,
that the computer is on one side,
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给机器人指示，
06:50
making suggestions to the robot,
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而另一端是物理世界。
06:52
and on the other side
are the physics of the world.
are the physics of the world.
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06:54
And that physics involves gravity,
friction, bouncing into things.
friction, bouncing into things.
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包括重力，摩擦力，弹力。
07:00
In order to have a successful robot,
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为了研究成功的机器人，
07:02
my religion is that you have to do
a holistic design,
a holistic design,
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我的观念是，必须要做好全盘设计，
同时要包括软件，硬件
07:06
where you're designing the software,
the hardware and the behavior
the hardware and the behavior
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07:10
all at one time,
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和行为，
这些部分必须相互结合并且协调，
07:11
and all these parts really intermesh
and cooperate with each other.
and cooperate with each other.
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07:15
And when you get the perfect design,
you get a real harmony
you get a real harmony
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只有你的设计达到完美，
在各个部分相互契合的时候，
在各个部分相互契合的时候，
07:18
between all those parts
interacting with each other.
interacting with each other.
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才会实现真正的协调。
07:22
So it's half software and half hardware,
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所以是50%软件和50%硬件，
再加上行为。
07:24
plus the behavior.
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07:26
We've done some work lately
on the hardware, where we tried to go --
on the hardware, where we tried to go --
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最近我们在研究硬件部分，
希望能够做到——
希望能够做到——
图片左边是传统设计，
07:30
the picture on the left
is a conventional design,
is a conventional design,
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可以看到导体、管子、连接原件等等
07:32
where you have parts
that are all bolted together,
that are all bolted together,
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都被衔接在一起。
07:35
conductors, tubes, connectors.
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07:38
And on the right
is a more integrated thing;
is a more integrated thing;
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而右边的设计则更加集成化，
07:40
it's supposed to look like
an anatomy drawing.
an anatomy drawing.
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看起来就像解剖图像。
07:43
Using the miracle of 3-D printing,
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借助神奇的3D打印，
我们可以把机器人的部件打造得
07:46
we're starting to build parts of robots
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看起来就像动物被解剖的部位。
07:48
that look a lot more
like the anatomy of an animal.
like the anatomy of an animal.
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07:51
So that's an upper-leg part
that has hydraulic pathways --
that has hydraulic pathways --
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大腿部分有液压通路，
07:54
actuators, filters --
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包括促进器和过滤器——
07:56
all embedded, all printed as one piece,
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都是嵌入式的，
作为单一部件被打印出来，
作为单一部件被打印出来，
07:59
and the whole structure is developed
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这样整体结构就做成了。
08:02
with a knowledge of what the loads
and behavior are going to be,
and behavior are going to be,
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根据机器人采集的数据，
和一些模拟计算，我们可以推测出
08:05
which is available from data
recorded from robots
recorded from robots
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08:08
and simulations and things like that.
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它能够完成的工作量和行为。
所以这是数据驱动的硬件设计。
08:10
So it's a data-driven hardware design.
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08:13
And using processes like that,
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变化过程如下，
08:15
not only the upper leg
but some other things,
but some other things,
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不只是大腿，还包括其他部位，
我们的机器人从最初
庞大笨拙的造型——
庞大笨拙的造型——
08:17
we've gotten our robots to go from big,
behemoth, bulky, slow, bad robots --
behemoth, bulky, slow, bad robots --
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右边那个大约400傍重——
08:22
that one on the right,
weighing almost 400 pounds --
weighing almost 400 pounds --
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08:26
down to the one in the middle
which was just in the video,
which was just in the video,
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进化到中间这个，
刚刚视频中的版本，
刚刚视频中的版本，
08:29
weighs about 190 pounds,
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大约重190傍，
比我重一点点，
08:31
just a little bit more than me,
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我们还有个新的机器人，
08:32
and we have a new one,
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08:34
which is working but I'm not
going to show it to you yet,
going to show it to you yet,
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它可以运行，但是我
今天不会给大家演示，
今天不会给大家演示，
就是左边这个，
08:37
on the left,
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重约165傍，
08:38
which weighs just 165 pounds,
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却有着同样的力量和能力。
08:40
with all the same
strength and capabilities.
strength and capabilities.
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08:42
So these things are really getting
better very quickly.
better very quickly.
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所以这些东西更新很快。
08:46
So it's time for Spot to come back out,
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现在该让Spot出场了，
08:49
and we're going to demonstrate
a little bit of mobility,
a little bit of mobility,
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我们现在来演示一些运动能力，
08:53
dexterity and perception.
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敏捷性和感知能力。
08:55
This is Seth Davis,
who's my robot wrangler today,
who's my robot wrangler today,
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这是赛斯·戴维斯，
是机器人的操纵者，
是机器人的操纵者，
08:59
and he's giving Spot
some general direction
some general direction
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他会通过遥控器，
09:02
by steering it around,
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给Spot一些大概的指导，
但是它的腿和传感器的配合，
09:04
but all the coordination
of the legs and the sensors
of the legs and the sensors
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09:07
is done by the robot's computers on board.
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是由自身配备的电脑控制。
09:10
The robot can walk
with a number of different gaits;
with a number of different gaits;
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它有很多形式的步伐，
09:14
it's got a gyro,
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它有一个陀螺仪，
09:16
or a solid-state gyro,
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固态的陀螺仪，
09:17
an IMU on board.
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搭载有IMU。
09:19
Obviously, it's got a battery,
and things like that.
and things like that.
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很明显，它还有电池等等。
09:23
One of the cool things
about a legged robot is,
about a legged robot is,
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有腿的机器人很酷的一点就是，
09:26
it's omnidirectional.
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它能向全方位行走。
09:27
In addition to going forward,
it can go sideways,
it can go sideways,
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不仅可以直走，还可以横着走，
09:31
it can turn in place.
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也可以原地转弯。
09:36
And this robot
is a little bit of a show-off.
is a little bit of a show-off.
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这个机器人挺喜欢炫耀。
09:39
It loves to use its dynamic gaits,
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它喜欢用动态步伐，
比如跑步。
09:41
like running --
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（笑声）
09:43
(Laughter)
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还有一个。
09:44
And it's got one more.
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09:47
(Laughter)
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（笑声）
09:50
Now if it were really a show-off,
it would be hopping on one foot,
it would be hopping on one foot,
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如果它确实很喜欢炫耀，
就会展示单脚跳了，
就会展示单脚跳了，
不过还没到那种程度。
09:53
but, you know.
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Spot装有一系列摄像头，
立体摄像头，
立体摄像头，
09:54
Now, Spot has a set of cameras
here, stereo cameras,
here, stereo cameras,
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09:58
and we have a feed up in the center.
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这里中间有一个。
10:00
It's kind of dark out in the audience,
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对着观众有点暗，
但是在它跨过它前方障碍的时候，
10:02
but it's going to use those cameras
in order to look at the terrain
in order to look at the terrain
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它会利用镜头看清
10:05
right in front of it,
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10:07
while it goes over
these obstacles back here.
these obstacles back here.
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前方的地形。
10:09
For this demo, Seth is steering,
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下面这个演示，由赛斯控制，
10:13
but the robot's doing
all its own terrain planning.
all its own terrain planning.
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但是机器人会自己做地形探测，
10:15
This is a terrain map,
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这是利用镜头得到实时的数据，
10:17
where the data from the cameras
is being developed in real time,
is being developed in real time,
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制作的地形勘测地图，
10:22
showing the red spots,
which are where it doesn't want to step,
which are where it doesn't want to step,
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红点就是它不想踩的地方，
10:25
and the green spots are the good places.
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而绿点就是可行的区域。
10:27
And here it's treating
them like stepping-stones.
them like stepping-stones.
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它把这些障碍物当做垫脚石。
10:30
So it's trying to stay up on the blocks,
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它会尝试待在板上，
10:32
and it adjusts its stride,
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调整步伐，
像这样的行为
10:34
and there's a ton of planning
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10:35
that has to go into
an operation like that,
an operation like that,
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包含了许多计划步骤。
10:38
and it does all
that planning in real time,
that planning in real time,
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它时时刻刻都在计划着，
10:40
where it adjusts the steps
a little bit longer
a little bit longer
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把步伐调整得大一点，
10:42
or a little bit shorter.
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或者小一点。
10:45
Now we're going to change it
into a different mode,
into a different mode,
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现在我们来换一个模式，
10:47
where it's just going to treat
the blocks like terrain
the blocks like terrain
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让它把障碍当成地形来看，
10:51
and decide whether to step up or down
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在它走路时候来决定
上来还是下去。
10:55
as it goes.
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10:57
So this is using dynamic balance
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这就用到了动态平衡
11:00
and mobile perception,
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以及移动感知，
11:02
because it has to coordinate what it sees
along with how it's moving.
along with how it's moving.
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因为它要根据看到的场景
来协调自己的动作。
来协调自己的动作。
11:09
The other thing Spot has is a robot arm.
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另外，Spot还有一条机器人手臂。
11:14
Some of you may see that
as a head and a neck,
as a head and a neck,
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你们可能觉得长得像头或者是脖子，
但是相信我，这是手臂。
11:17
but believe me, it's an arm.
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赛斯在驱动这条手臂。
11:18
Seth is driving it around.
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11:20
He's actually driving the hand
and the body is following.
and the body is following.
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他实际上只需要操控手臂，
下面的身体会跟着运动。
下面的身体会跟着运动。
11:24
So the two are coordinated
in the way I was talking about before --
in the way I was talking about before --
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所以这两个相互协调，
就如我之前提到过的——
就如我之前提到过的——
11:28
in the way people can do that.
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就像人类一样。
11:30
In fact, one of the cool things
Spot can do we call, "chicken-head mode,"
Spot can do we call, "chicken-head mode,"
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实际上，Spot还可以做
一件很酷的事，称为“鸡头模式”。
一件很酷的事，称为“鸡头模式”。
它的头保持不变，
11:34
and it keeps its head
in one place in space,
in one place in space,
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只是来回移动身体。
11:38
and it moves its body all around.
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11:40
There's a variation of this
that's called "twerking" --
that's called "twerking" --
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还有另一种模式叫“电臀”——
（笑声）
11:43
(Laughter)
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不过我们就不演示了。
11:44
but we're not going to use that today.
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11:46
(Laughter)
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（笑声）
11:47
So, Spot: I'm feeling a little thirsty.
Could you get me a soda?
Could you get me a soda?
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Spot，我有点口渴，
能不能给我一杯饮料？
能不能给我一杯饮料？
11:51
For this demo,
Seth is not doing any driving.
Seth is not doing any driving.
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在这个演示中，Seth不会进行操控。
11:55
We have a LIDAR on the back of the robot,
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在机器人后边有LIDAR，
11:57
and it's using these props
we've put on the stage
we've put on the stage
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用这些我们放在台上的道具
11:59
to localize itself.
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来定位自己。
它现在走过去了，
12:01
It's gone over to that location.
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在使用手上的摄像头
12:03
Now it's using a camera that's in its hand
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来找到杯子，
12:06
to find the cup,
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12:09
picks it up --
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拿起它——
12:10
and again, Seth's not driving.
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别忘了，赛斯并没有进行操控。
12:13
We've planned out a path for it to go --
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我们给它安排了路线，
12:16
it looked like it was
going off the path --
going off the path --
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现在看来它好像走偏了——
12:18
and now Seth's going
to take over control again,
to take over control again,
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现在赛斯要恢复控制，
因为我有点不信任
让它自己完成这事。
让它自己完成这事。
12:21
because I'm a little bit chicken
about having it do this by itself.
about having it do this by itself.
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谢谢你，Spot。
12:24
Thank you, Spot.
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12:28
(Applause)
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（掌声）
12:35
So, Spot:
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那么，Spot，
完成你的TED表演感觉怎么样？
12:36
How do you feel about having just finished
your TED performance?
your TED performance?
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12:41
(Laughter)
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（笑声）
12:44
Me, too!
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我也是！
（笑声）
12:45
(Laughter)
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谢谢大家。
12:46
Thank you all,
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也感谢为这项任务付出努力的
12:48
and thanks to the team at Boston Dynamics,
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12:50
who did all the hard work behind this.
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波士顿动力公司的团队。
12:52
(Applause)
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（掌声）
13:03
Helen Walters: Marc,
come back in the middle.
come back in the middle.
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海伦·沃特斯：
马克，能回到场地中间吗？
马克，能回到场地中间吗？
非常感谢。
13:05
Thank you so much.
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往前站一下，我有几个问题。
13:06
Come over here, I have questions.
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你提到了UPS和包裹递送。
13:08
So, you mentioned the UPS
and the package delivery.
and the package delivery.
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13:12
What are the other applications
that you see for your robots?
that you see for your robots?
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你还在探索机器人的其他应用吗？
马克·莱伯特：我认为
13:16
Marc Raibert: You know,
I think that robots
I think that robots
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机器人将会拥有的能力
13:18
that have the capabilities
I've been talking about
I've been talking about
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会有非常大的用途。
13:20
are going to be incredibly useful.
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大约一年以前，我去了福岛，
13:22
About a year ago, I went to Fukushima
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想看看那里的情况，
13:24
to see what the situation was there,
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对能够在污染地进行清理
13:26
and there's just a huge need
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13:28
for machines that can go
into some of the dirty places
into some of the dirty places
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和重建工作的机器人的
需求会很大。
13:32
and help remediate that.
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13:34
I think it won't be too long until
we have robots like this in our homes,
we have robots like this in our homes,
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我认为我们的家里
很快也会有这样的机器人，
很快也会有这样的机器人，
还有就是对于照顾老人和伤残者
13:39
and one of the big needs
is to take care of the aging
is to take care of the aging
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这方面也有会很大需求。
13:44
and invalids.
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13:46
I think that it won't be too long
till we're using robots
till we're using robots
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我同样认为我们依靠
机器人照顾父母
机器人照顾父母
13:50
to help take care of our parents,
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也不会很久了。
13:52
or probably more likely,
have our children help take care of us.
have our children help take care of us.
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更有可能的是，让孩子来照顾我们。
13:57
And there's a bunch of other things.
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还有很多的事情。
但我知道存在一种界线。
13:59
I think the sky's the limit.
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很多点子我们还没有想出来，
14:01
Many of the ideas
we haven't thought of yet,
we haven't thought of yet,
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你们可以帮助我们
想一些新的应用。
想一些新的应用。
14:03
and people like you will help us
think of new applications.
think of new applications.
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沃特斯：缺点有什么呢？
14:06
HW: So what about the dark side?
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军方呢？
14:08
What about the military?
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军方感兴趣吗？
14:10
Are they interested?
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14:12
MR: Sure, the military has been
a big funder of robotics.
a big funder of robotics.
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莱伯特：当然，军队是
自动机械的发源地。
自动机械的发源地。
我自己并不认为军用算是坏处，
14:16
I don't think the military
is the dark side myself,
is the dark side myself,
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但是我认为先进的科技
14:20
but I think, as with all
advanced technology,
advanced technology,
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可以用于所有领域。
14:24
it can be used for all kinds of things.
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沃特斯：太棒了，谢谢你。
14:26
HW: Awesome. Thank you so much.
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莱伯特：不客气。
14:28
MR: OK, you're welcome.
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沃特斯：谢谢。
14:29
Thank you.
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掌声
14:30
(Applause)
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ABOUT THE SPEAKER
Marc Raibert - RoboticistMarc Raibert is the founder and CEO of robot maker Boston Dynamics.
Why you should listen
Working with his team at Boston Dynamics, Marc Raibert builds some of the world's most advanced robots, such as BigDog, Atlas, Spot and Handle. These robots are inspired by the remarkable ability of animals to move with agility, dexterity, perception and intelligence. A key ingredient of these robots is their dynamic behavior, which contributes to their lifelike qualities and their effectiveness in the real world.
Raibert founded Boston Dynamics as a spinoff from MIT, where he ran the Leg Laboratory, which helped establish the scientific basis for highly dynamic robots. He was a professor of EE&CS at MIT and before that associate professor of CS & Robotics at Carnegie Mellon University. Raibert is a member of the National Academy of Engineering.
Marc Raibert | Speaker | TED.com