Browse content similar to 21/05/2016. Check below for episodes and series from the same categories and more!
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This week, robotic legs, robotic arms, and, robotic needlework? | 0:00:02 | 0:00:09 | |
Another day, another tight, black suit. | 0:00:35 | 0:00:37 | |
Torso is live... | 0:00:37 | 0:00:39 | |
Torso is live. | 0:00:39 | 0:00:41 | |
Stretch your arm behind you as far as it goes. | 0:00:41 | 0:00:44 | |
I'm having my motion captured, but not like that, nurse. | 0:00:44 | 0:00:47 | |
This is a prototype of a system that doctors may one day to assess | 0:00:47 | 0:00:50 | |
patients who have limited mobility, who can't use their limbs fully. | 0:00:50 | 0:00:55 | |
And that's with a view to building them their own own robotic arm! | 0:00:55 | 0:01:03 | |
I'm at The Human Assistive Robotic Technology Lab, that's the | 0:01:03 | 0:01:06 | |
Heart Lab, at the University of Berkley near San Francisco. | 0:01:06 | 0:01:10 | |
Oh, an interesting side note about this motion capture suit, | 0:01:10 | 0:01:13 | |
it doesn't use those reflective balls we're so used to seeing. | 0:01:13 | 0:01:18 | |
It uses LEDs which pulse at different speeds | 0:01:18 | 0:01:20 | |
so they can be uniquely identified by tracking cameras. | 0:01:20 | 0:01:25 | |
It makes tracking all the points in a 3D space easier, and it also makes | 0:01:25 | 0:01:28 | |
me look like a Christmas tree. | 0:01:28 | 0:01:32 | |
By doing this test they are not just measuring the motion of my limbs | 0:01:32 | 0:01:35 | |
but also my centre of mass. | 0:01:35 | 0:01:41 | |
They can see how my balance compensates | 0:01:41 | 0:01:43 | |
as I move my arm, for example. | 0:01:43 | 0:01:48 | |
And this doesn't have to be done at the doctors'. | 0:01:48 | 0:01:51 | |
Using a Kinect motion sensor instead of a suit, patients may | 0:01:51 | 0:01:53 | |
also be able to do this at home. | 0:01:53 | 0:01:58 | |
The result is a sphere showing where the patient | 0:01:58 | 0:02:00 | |
can reach and where they can't. | 0:02:00 | 0:02:04 | |
And that will help design their own personal robotic limb. | 0:02:04 | 0:02:07 | |
The most common loss of mobility is in the upper range. | 0:02:07 | 0:02:10 | |
So you lose the ability to feed yourself, you lose | 0:02:10 | 0:02:13 | |
the ability to brush your teeth. | 0:02:13 | 0:02:16 | |
The main objective of this device is to move the shoulder, raise it up, | 0:02:16 | 0:02:20 | |
to give you some assistance. | 0:02:20 | 0:02:21 | |
This will assist your shoulder, give you increased range of motion. | 0:02:21 | 0:02:27 | |
All right. | 0:02:27 | 0:02:30 | |
Oh... | 0:02:30 | 0:02:31 | |
LAUGHTER. | 0:02:31 | 0:02:34 | |
It should be easier to move your shoulder up. | 0:02:34 | 0:02:36 | |
This is to help those who can still move their limbs but need a bit | 0:02:36 | 0:02:40 | |
of help to do it. | 0:02:40 | 0:02:41 | |
But there are those that cannot use their limbs at all. | 0:02:41 | 0:02:44 | |
For that we need the kind of suit we are looking at across campus. | 0:02:44 | 0:02:50 | |
Being in a wheelchair, it is like being in a bubble. | 0:02:50 | 0:02:52 | |
'Cause, I can come up to you, I don't care, but you might not | 0:02:52 | 0:03:00 | |
want to be next to me. | 0:03:00 | 0:03:01 | |
It is like, "I don't want to touch them or get in their way." | 0:03:01 | 0:03:05 | |
Stephen broke his back in a BMX accident in 2004 when he was 17. | 0:03:05 | 0:03:09 | |
He was instantly paralysed from the waist down and has been | 0:03:09 | 0:03:12 | |
using a wheelchair ever since. | 0:03:12 | 0:03:15 | |
But over the last three years he has been able to get up and walk | 0:03:15 | 0:03:19 | |
for short periods of time. | 0:03:19 | 0:03:20 | |
Working with Suit X, he has been a test pilot for what this company | 0:03:20 | 0:03:28 | |
hopes will be the world's lightest and most affordable exoskeleton. | 0:03:28 | 0:03:30 | |
When I am wearing the suit nobody cares. | 0:03:30 | 0:03:35 | |
You can walk right up to me and hug me and there is no bubble. | 0:03:35 | 0:03:39 | |
There is no, like, "Oh, I might hurt you!" | 0:03:39 | 0:03:43 | |
The first time I used this suit my parents came | 0:03:43 | 0:03:46 | |
and I was able to hug them for the first time in who knows how long. | 0:03:46 | 0:03:50 | |
Yeah... | 0:03:50 | 0:03:51 | |
Suit X was borne out of this robotics laboratory. | 0:03:51 | 0:03:55 | |
They recognised many people could not afford to access exoskeletons | 0:03:55 | 0:04:00 | |
for physical therapy and set about designing one with a comparatively | 0:04:00 | 0:04:02 | |
cheap price tag, $40,000 US. | 0:04:02 | 0:04:08 | |
It only weighs 27 lbs. | 0:04:08 | 0:04:11 | |
12-13 kg. | 0:04:11 | 0:04:15 | |
It has a battery pack that only weighs two lbs and allows you to | 0:04:15 | 0:04:18 | |
use it all day, 4-8 hours. | 0:04:18 | 0:04:23 | |
We have an active knee. | 0:04:23 | 0:04:27 | |
That means when I stand up my knee doesn't bend and I fall. | 0:04:27 | 0:04:31 | |
It has other properties that allows the knee to bend when I am walking | 0:04:31 | 0:04:35 | |
so it makes it look natural. | 0:04:35 | 0:04:39 | |
As you might have seen when he was walking, the terrain, | 0:04:39 | 0:04:41 | |
there is debris, rocks, cracks in the sidewalk. | 0:04:41 | 0:04:44 | |
What is cool about our system is it can naturally | 0:04:44 | 0:04:46 | |
handle things like that. | 0:04:46 | 0:04:52 | |
Fall prevention. | 0:04:52 | 0:04:53 | |
The system is commanded through a wireless crutch. | 0:04:53 | 0:04:57 | |
What is neat about this system is it can be attached to anything. | 0:04:57 | 0:05:00 | |
So, if you had a walker it can be connected to the walker. | 0:05:00 | 0:05:03 | |
This allows you to communicate to your device. | 0:05:03 | 0:05:05 | |
If you wanna make a step you can make one. | 0:05:05 | 0:05:09 | |
And we can also talk to a tablet at the same time in real-time. | 0:05:09 | 0:05:13 | |
So we can get somebody up in the device quickly, tune the parameters | 0:05:13 | 0:05:17 | |
to where their natural posture is supposed to look like, and then see | 0:05:17 | 0:05:21 | |
how they are progressing. | 0:05:21 | 0:05:28 | |
The other devices make me feel like I'm riding the robot. | 0:05:28 | 0:05:31 | |
But with this device I can move certain aspects of the machine | 0:05:31 | 0:05:34 | |
around without it trying to do something that I don't want to. | 0:05:34 | 0:05:40 | |
While the device is giving Stephen and others testing it freedom, | 0:05:40 | 0:05:45 | |
it will not replace wheelchairs for its users yet. | 0:05:45 | 0:05:49 | |
But it could be critical in physical therapy sessions and allow people | 0:05:49 | 0:05:52 | |
with paralysis to experience the sensation of walking. | 0:05:52 | 0:05:58 | |
In my world, what I would be using this device for is every day | 0:05:58 | 0:06:01 | |
in my life I would keep them on and then probably every couple | 0:06:01 | 0:06:06 | |
of hours also put on the device, get up, stand up, walk around for | 0:06:06 | 0:06:09 | |
ten minutes, that is all I want. | 0:06:09 | 0:06:14 | |
That relief right there will give me ten years of my life back. | 0:06:14 | 0:06:17 | |
LAUGHTER. | 0:06:17 | 0:06:19 | |
Pending FDA approval, Suit X is hoping to have 30 suits | 0:06:19 | 0:06:22 | |
ready by this summer. | 0:06:22 | 0:06:26 | |
Hello, and welcome to the Week in Tech. | 0:06:30 | 0:06:34 | |
It was the week that Android Pay finally came to the UK. | 0:06:34 | 0:06:38 | |
And, Twitter was reported to be changing the way they Tweet | 0:06:38 | 0:06:42 | |
by no longer making pictures take up your 140 characters. | 0:06:42 | 0:06:49 | |
If you are tired of your favourite games turning | 0:06:49 | 0:06:51 | |
into terrible films, look away now. | 0:06:51 | 0:06:55 | |
It has begun! | 0:06:55 | 0:06:57 | |
Threshold Global Studios, responsible for such classic skasg | 0:06:57 | 0:07:01 | |
horrible game adaptations like Mortal Kombat and Mortal Kombat | 0:07:01 | 0:07:04 | |
Annihilation say they have acquired the funding to make not one, | 0:07:04 | 0:07:12 | |
not two, but three Tetris movies. | 0:07:12 | 0:07:14 | |
Shooting will begin in China next year. | 0:07:14 | 0:07:19 | |
Joy unconfined. | 0:07:19 | 0:07:22 | |
And finally, in things we thought we would never see, | 0:07:22 | 0:07:26 | |
the Simpsons this week had a live, yes, live, three minute segment. | 0:07:26 | 0:07:31 | |
Actor, Dan Castellaneta, AKA Homer, chatted to US viewers over | 0:07:31 | 0:07:35 | |
the phone. | 0:07:35 | 0:07:38 | |
This feat was achieved using Adobe software that takes 2D animations | 0:07:38 | 0:07:41 | |
and maps them onto an actor's actions via webcam. | 0:07:41 | 0:07:46 | |
More exaggerated actions were available at the touch | 0:07:46 | 0:07:48 | |
of a keyboard shortcut. | 0:07:48 | 0:07:51 | |
Always wear glasses with eyes glued on to them. | 0:07:51 | 0:07:56 | |
Ay carumba, eat my shorts, etc, etc. | 0:07:57 | 0:08:03 | |
Do you ever get the feeling that tech billionaires | 0:08:06 | 0:08:09 | |
are getting younger? | 0:08:09 | 0:08:11 | |
Hmm... | 0:08:11 | 0:08:17 | |
The developer world descended on the massive Googleplex in California to | 0:08:17 | 0:08:20 | |
hear about their latest products. | 0:08:20 | 0:08:21 | |
But before that, a day for children to learn how to code with robots. | 0:08:21 | 0:08:27 | |
But once the adults had arrived, it was time to get | 0:08:27 | 0:08:30 | |
down to the new stuff. | 0:08:30 | 0:08:33 | |
This is a slightly Cockney-inspired app called Allo that has | 0:08:33 | 0:08:35 | |
a chat box which is claimed by Google to be intelligent enough | 0:08:35 | 0:08:40 | |
to predict what you might say based on what it knows about you. | 0:08:40 | 0:08:44 | |
You can also ask Google specific questions or make it do things | 0:08:44 | 0:08:49 | |
like book a table or order food. | 0:08:49 | 0:08:52 | |
Does that sound familiar? | 0:08:52 | 0:08:54 | |
It is! | 0:08:54 | 0:08:55 | |
Facebook has something very similar. | 0:08:55 | 0:08:58 | |
You can talk to Allo through the new Google Home Device you can | 0:08:58 | 0:09:02 | |
put in your kitchen and shout instructions at. | 0:09:02 | 0:09:04 | |
If that sounds familiar, it is because it is. | 0:09:04 | 0:09:07 | |
Amazon already has Echo. | 0:09:07 | 0:09:12 | |
Google also announced Daydream, a new VR system powered by Google | 0:09:12 | 0:09:14 | |
smartphones. | 0:09:14 | 0:09:17 | |
If that sounds familiar... | 0:09:17 | 0:09:18 | |
Well, you're right. | 0:09:18 | 0:09:21 | |
They are late and both of those areas represent threats to | 0:09:21 | 0:09:24 | |
their business. | 0:09:24 | 0:09:26 | |
It is crucial they come back. | 0:09:26 | 0:09:31 | |
That said, if Google I/O is useful for one | 0:09:31 | 0:09:34 | |
thing, it is showing just how many huge ideas this company has. | 0:09:34 | 0:09:38 | |
In case you thought Google was just a search engine, | 0:09:38 | 0:09:42 | |
let's look at what we have today/ Machine learning, artificial | 0:09:42 | 0:09:46 | |
intelligence, self driving cars, virtual reality, and of course, they | 0:09:46 | 0:09:49 | |
are sending balloons up into space. | 0:09:49 | 0:09:54 | |
This is their effort to send an Internet-enabling ballon | 0:09:54 | 0:09:56 | |
into near-space. | 0:09:56 | 0:10:01 | |
This one, which I think looks like a massive peeled orange, | 0:10:01 | 0:10:04 | |
is a miniature version of the real one, which is four times as big. | 0:10:04 | 0:10:07 | |
It is designed to provide wireless Internet to four billion people | 0:10:07 | 0:10:10 | |
around the world and make them last longer than our average of 72 days. | 0:10:10 | 0:10:15 | |
What is more interesting is Project Tango. | 0:10:15 | 0:10:20 | |
Devices with Project Tango are aware of their surroundings | 0:10:20 | 0:10:23 | |
so it can scan what is around it and offer useful ways of interacting. | 0:10:23 | 0:10:30 | |
You can get your hands on Project Tango-enabled devices later | 0:10:30 | 0:10:33 | |
this year. | 0:10:33 | 0:10:34 | |
Google designers will be excited to work with it... | 0:10:34 | 0:10:37 | |
After a nap. | 0:10:37 | 0:10:46 | |
In last week's programme, we had entries in the first | 0:10:46 | 0:10:49 | |
Robotic Art Competition. | 0:10:49 | 0:10:53 | |
A challenge to find the best robotic artist, | 0:10:53 | 0:10:54 | |
as voted for by the public on line. | 0:10:54 | 0:10:58 | |
The results are in, with Italy's Accademia di Bella Arti | 0:10:58 | 0:11:02 | |
di Brera, the correct pronunciation, before you ask, and | 0:11:02 | 0:11:06 | |
its abstract images coming third. | 0:11:06 | 0:11:11 | |
The Cloud Painting Project from George Washington University took | 0:11:11 | 0:11:17 | |
second prize, and this Taiwanese robot came first, producing this | 0:11:17 | 0:11:26 | |
terrific image of Albert Einstein. | 0:11:26 | 0:11:27 | |
Genius, in more ways than one. | 0:11:27 | 0:11:29 | |
Now, whether you like any of these is a matter of taste. | 0:11:29 | 0:11:34 | |
But it is intriguing to think that one day, in | 0:11:34 | 0:11:37 | |
a not too distant future, machines will be able to perform our tasks. | 0:11:37 | 0:11:40 | |
Self-driving cars and trucks are already here. | 0:11:40 | 0:11:46 | |
They are threatening to take over jobs. | 0:11:46 | 0:11:48 | |
Many experts believe that specialist machine intelligence will be able to | 0:11:48 | 0:11:51 | |
do much of what we do today, and better. | 0:11:51 | 0:11:55 | |
But an all-purpose general AI, one that sounds, looks, | 0:11:55 | 0:11:57 | |
and talks and behaves like us, the ones from the science-fiction | 0:11:57 | 0:12:00 | |
movies, can we create that? | 0:12:00 | 0:12:05 | |
It is a matter that divides the scientific community. | 0:12:05 | 0:12:08 | |
So, we sat down with some of those academics to find out what | 0:12:08 | 0:12:11 | |
sort of world our children and might live in. | 0:12:11 | 0:12:15 | |
Meet Alpha the Robot. | 0:12:15 | 0:12:20 | |
We can imagine less and less need for humans to do jobs because | 0:12:20 | 0:12:23 | |
more things can be automated. | 0:12:23 | 0:12:24 | |
That is the prospect, that all kinds of jobs will become irrelevant or | 0:12:24 | 0:12:27 | |
redundant in 5-10 years. | 0:12:28 | 0:12:33 | |
We will have AI that is more sophisticated than we have now. | 0:12:33 | 0:12:43 | |
Let us be clear, there are many jobs or robots. | 0:12:43 | 0:12:45 | |
It can help humanity in many ways. | 0:12:45 | 0:12:47 | |
But my fear is that we are just charging after anything that can be | 0:12:47 | 0:12:50 | |
solved without thinking first about the consequences. | 0:12:50 | 0:13:00 | |
One thing is the development of work, using mechanical alternatives. | 0:13:00 | 0:13:04 | |
That could liberate and free some people. | 0:13:04 | 0:13:10 | |
On the other hand, the structural organisation and | 0:13:10 | 0:13:16 | |
system which these developments are part of is a capitalist economy. | 0:13:16 | 0:13:19 | |
Looking at the development of artificial intelligence which | 0:13:19 | 0:13:21 | |
can displace many of middle-class jobs, we need to rethink that. | 0:13:21 | 0:13:34 | |
It is an open question whether all of the jobs today will | 0:13:34 | 0:13:38 | |
be computerised in 50 years' time. | 0:13:38 | 0:13:41 | |
If we have 7 billion people on the planet, take away any | 0:13:41 | 0:13:44 | |
potential for their employment, we have many people wandering | 0:13:44 | 0:13:46 | |
around with not much to do. | 0:13:46 | 0:13:55 | |
My experience of humans is if they have a lot of free time they will | 0:13:55 | 0:13:59 | |
think of ways to create mischief. | 0:13:59 | 0:14:02 | |
They could find ways to start wars in things. | 0:14:02 | 0:14:04 | |
WAR NOISES. | 0:14:04 | 0:14:08 | |
This is an area where we need widespread public debate. | 0:14:08 | 0:14:12 | |
Paying people for not working should be on | 0:14:12 | 0:14:14 | |
the political agenda and it isn't. | 0:14:14 | 0:14:16 | |
We are still hearing the same old mantra, the way to acquire | 0:14:16 | 0:14:19 | |
wealth is to work and the market will continue to provide jobs. | 0:14:19 | 0:14:26 | |
In terms of our education system, I would see the way to protect | 0:14:26 | 0:14:29 | |
children from this kind of unemployment is to emphasise | 0:14:29 | 0:14:32 | |
creativity, learning how to learn, learning how to be creative. | 0:14:32 | 0:14:39 | |
It may be that jobs requiring creativity, like artistic jobs, they | 0:14:39 | 0:14:42 | |
may resist technological replacement in the next if the years as well. | 0:14:42 | 0:15:00 | |
One of the open questions in artificial intelligence is can | 0:15:00 | 0:15:03 | |
we build machines that are generally intelligent and have the | 0:15:03 | 0:15:05 | |
flexibility of human intelligence across a wide range of jobs? | 0:15:05 | 0:15:13 | |
One of the great ironies is that many of the tasks we thought were | 0:15:13 | 0:15:16 | |
simple have turned out to be much more difficult | 0:15:16 | 0:15:19 | |
for computers to perform well. | 0:15:19 | 0:15:27 | |
ARCHIVE: Introducing Mabel, the robot housemaid! | 0:15:27 | 0:15:31 | |
Let's think about, you know, cleaning your house. | 0:15:31 | 0:15:34 | |
Cleaning your house seems like a very mundane challenge but, | 0:15:34 | 0:15:37 | |
in fact, it is actually a very tricky one to do to the | 0:15:37 | 0:15:40 | |
standard that we humans can do it. | 0:15:40 | 0:15:52 | |
Identifying objects that you want to tidy away, that you want to pick up | 0:15:52 | 0:15:56 | |
off the floor, where you might want to put them. | 0:15:56 | 0:16:03 | |
Being able to lift them up off the floor, you know ,a huge variety of | 0:16:03 | 0:16:07 | |
object we get around the house, and we are a long way from being able to | 0:16:07 | 0:16:11 | |
build robots that can do that. | 0:16:11 | 0:16:13 | |
Thinking a long time ahead, 20, 30, 50, 100 years, some people have | 0:16:13 | 0:16:16 | |
speculated about the prospect of a kind of utopian scenario where very | 0:16:16 | 0:16:19 | |
very, very sophisticated artificial intelligence enables us to have | 0:16:19 | 0:16:21 | |
lives of leisure and it's a time of abundance. 1967, the poet Richard | 0:16:21 | 0:16:24 | |
Brautigan composed a work called All Watched Over By Machines Of Loving | 0:16:24 | 0:16:27 | |
Grace and in this poem Richard imagines a future society, with a | 0:16:27 | 0:16:30 | |
very small number of people, a very hippiesque society - | 0:16:30 | 0:16:33 | |
people frolicking in the fields, in the beautiful sun, | 0:16:33 | 0:16:35 | |
with all their needs catered for by an army of robotic slaves. | 0:16:35 | 0:16:41 | |
Equally possible is very, very dangerous AI, which sort of results | 0:16:45 | 0:16:49 | |
in in humanity being wiped out. | 0:16:49 | 0:16:57 | |
Two very extreme scenarios like that. | 0:16:58 | 0:17:02 | |
You can imagine these two very different kinds of scenarios. | 0:17:02 | 0:17:10 | |
We don't really know which of those is going to be or, indeed, | 0:17:10 | 0:17:13 | |
if it is going to be something more inbetween. | 0:17:13 | 0:17:16 | |
Next week we will continue the debate, | 0:17:16 | 0:17:18 | |
exploring the ethical and moral side of the autonomous revolution. | 0:17:18 | 0:17:24 | |
Meanwhile, back at Berkeley, in California, it is time to get back | 0:17:27 | 0:17:30 | |
to the people who are trying to bring about the rise of the robots. | 0:17:30 | 0:17:34 | |
This place is ranked amongst the top universities in the world, | 0:17:34 | 0:17:38 | |
especially when it comes to science, technology and robotics. | 0:17:38 | 0:17:43 | |
What is the collective noun for a group of Baxters? | 0:17:43 | 0:17:45 | |
Um, "uprising"? | 0:17:45 | 0:17:47 | |
Work being done in this lab is using artificial intelligence techniques | 0:17:48 | 0:17:51 | |
to teach industrial robots like this one how to do particular | 0:17:51 | 0:17:54 | |
tasks that might actually be slightly different every time. | 0:17:54 | 0:18:04 | |
So the idea is, a human shows it how to do the task the first few times | 0:18:04 | 0:18:08 | |
and then it picks up the common thread, the common thing | 0:18:08 | 0:18:11 | |
between each of these tasks. | 0:18:11 | 0:18:12 | |
So what I am going to do is I'm going to move this metal peg to | 0:18:12 | 0:18:16 | |
roughly the right position to get it into the hole. | 0:18:16 | 0:18:18 | |
But at nowhere near the correct angle and then | 0:18:18 | 0:18:21 | |
the robot is actually going to feel how the peg is going into the hole. | 0:18:21 | 0:18:25 | |
There is a force sensor here which is feeling the pressures on that | 0:18:25 | 0:18:28 | |
peg when it tries to put it in. | 0:18:28 | 0:18:30 | |
And then, from that, it works out how it needs to adjust | 0:18:30 | 0:18:33 | |
itself to get the peg in the hole. | 0:18:33 | 0:18:36 | |
Slaaam...dunk. | 0:18:36 | 0:18:37 | |
Good. | 0:18:37 | 0:18:39 | |
I would wager that most of the people here in the robotics | 0:18:39 | 0:18:42 | |
labs have been interested in robots for a fair while. | 0:18:42 | 0:18:45 | |
If you are interested in getting into the subject or | 0:18:45 | 0:18:48 | |
you're interested in getting your kids into robotics, may I suggest | 0:18:48 | 0:18:50 | |
that you build a robot yourself. | 0:18:51 | 0:18:55 | |
Which is exactly what Lara Lweington has been doing and, quite frankly, | 0:18:55 | 0:18:58 | |
she has had a bit too much fun to call it work. | 0:18:58 | 0:19:01 | |
Instead of fretting about robots taking our jobs and taking over our | 0:19:04 | 0:19:08 | |
lives, maybe we should be learning how to train them to do things and | 0:19:08 | 0:19:12 | |
even just have some fun with them. | 0:19:12 | 0:19:17 | |
This is the humanoid part of the Ziro Robotics Kit. | 0:19:20 | 0:19:25 | |
No programming required, just an appetite for creativity | 0:19:25 | 0:19:27 | |
and a bit of imagination. | 0:19:27 | 0:19:34 | |
Although originally aimed at 8-13 year-olds, | 0:19:34 | 0:19:35 | |
the ability to customise a robot and even add items from around | 0:19:35 | 0:19:40 | |
the house, may appeal to all ages. | 0:19:40 | 0:19:45 | |
Especially as it can be purposed to become whatever you like. | 0:19:45 | 0:19:48 | |
Maybe a remote-controlled bin? | 0:19:48 | 0:19:49 | |
Or a tray to deliver your food? | 0:19:49 | 0:19:52 | |
And now for the fun bit, the way that I operate them is | 0:19:52 | 0:19:55 | |
by using this glove. | 0:19:55 | 0:19:58 | |
There are motion sensors in here that mean | 0:19:58 | 0:20:00 | |
when I'm wearing the glove, the movement of my hand will move | 0:20:00 | 0:20:03 | |
the robot that it is connected to. | 0:20:03 | 0:20:08 | |
There is a bit of a knack to it. | 0:20:11 | 0:20:13 | |
It is quite easy to get. | 0:20:13 | 0:20:15 | |
I only had my first go a couple of minutes ago. | 0:20:15 | 0:20:18 | |
It has not taken long for this to actually feel quite intuitive. | 0:20:18 | 0:20:21 | |
Can it climb up a step? | 0:20:21 | 0:20:22 | |
Let me see what happens if I aim towards the step. | 0:20:22 | 0:20:25 | |
Right. | 0:20:25 | 0:20:25 | |
This way please. | 0:20:25 | 0:20:26 | |
CHUCKLES I'm talking to it like it is a dog. | 0:20:26 | 0:20:29 | |
Wow. | 0:20:29 | 0:20:29 | |
Wow, it almost made it. | 0:20:29 | 0:20:31 | |
Oh, dear. | 0:20:31 | 0:20:34 | |
As you tried, you know, Rover was trying to move over the stairs. | 0:20:34 | 0:20:37 | |
It didn't quite move up, it fell apart. | 0:20:37 | 0:20:39 | |
Things do not quite fit together when you make the robot initially. | 0:20:39 | 0:20:42 | |
You need to tinker and play with it and start | 0:20:42 | 0:20:45 | |
understanding how to make it work. | 0:20:45 | 0:20:46 | |
And because you made the robot, you want to make it work, you will | 0:20:46 | 0:20:50 | |
do all it takes to make it work and that's where the learning happens. | 0:20:50 | 0:20:53 | |
There are other devices in this space, too. | 0:20:53 | 0:20:56 | |
This is the Cellrobot. | 0:20:56 | 0:20:57 | |
An assortment of modular robots which you can | 0:20:57 | 0:20:58 | |
assemble as you desire. | 0:20:58 | 0:21:02 | |
They are suitable for kids or adults. | 0:21:02 | 0:21:04 | |
For children, they can learn about robotics and find an educational | 0:21:04 | 0:21:07 | |
usein them, as well as fun one. | 0:21:07 | 0:21:09 | |
And for grown-ups, well, you can attach a camera, | 0:21:09 | 0:21:11 | |
you can attach a light, you can operate it via the app. | 0:21:11 | 0:21:15 | |
This is just the Beta version and it is all pretty simple. | 0:21:15 | 0:21:18 | |
It moves backwards. | 0:21:18 | 0:21:20 | |
It's not that intuitive. | 0:21:20 | 0:21:23 | |
I'm struggling to stop it from just spinning. | 0:21:23 | 0:21:25 | |
But once you get to grips with the controls and get it moving | 0:21:25 | 0:21:28 | |
in every direction, you could use it for surveillance, | 0:21:28 | 0:21:30 | |
fun or just to scare your visitors. | 0:21:30 | 0:21:34 | |
Both companies' kits are currently in crowdfunding and should be | 0:21:34 | 0:21:37 | |
available to buy later this year. | 0:21:37 | 0:21:39 | |
Meanwhile, back at UC Berkeley, Dr Sven is in the house | 0:21:43 | 0:21:46 | |
and attempting to sew up a patient. | 0:21:46 | 0:21:52 | |
Here it comes. | 0:21:52 | 0:21:54 | |
So good, grab this needle with this...oh, | 0:21:54 | 0:21:56 | |
for goodness sake. | 0:21:56 | 0:21:57 | |
Sorry, I will make another hole. | 0:21:57 | 0:21:59 | |
I'm using a da Vinci robot. | 0:21:59 | 0:22:01 | |
Something which surgeons now routinely use to perform | 0:22:01 | 0:22:03 | |
surgical tasks like suturing. | 0:22:03 | 0:22:08 | |
Sometimes remote controlling it from another location | 0:22:08 | 0:22:10 | |
but more often, it is used just steady the hand movements | 0:22:10 | 0:22:12 | |
in the more delicate of procedures. | 0:22:12 | 0:22:17 | |
This is a computer sewing up a wound all on its own. | 0:22:17 | 0:22:20 | |
How hard is this? | 0:22:20 | 0:22:26 | |
You have to manipulate a needle that is a very small and we | 0:22:27 | 0:22:30 | |
have a thread that is deformable. | 0:22:30 | 0:22:32 | |
All of this is being operated in a tissue that we have no model about. | 0:22:32 | 0:22:36 | |
We have no touch feedback. | 0:22:36 | 0:22:38 | |
So think of it like this, it is equal to performing very | 0:22:38 | 0:22:41 | |
complex tasks when your hands are really numb and you can barely see. | 0:22:41 | 0:22:52 | |
It is a combunation of a computer-vision system | 0:22:52 | 0:22:54 | |
which tracks the needle - bright yellow to make that bit | 0:22:54 | 0:22:57 | |
easier - and advanced computer modelling which tries to predict the | 0:22:57 | 0:23:00 | |
behaviour of that twizeerly thread and the flippy-floppy tissue - both | 0:23:00 | 0:23:03 | |
technical terms, trust me. | 0:23:03 | 0:23:08 | |
Suturing is a fairly repetitive and simple low-skill task that | 0:23:08 | 0:23:11 | |
happens very often and you want to give a surgeon a break | 0:23:11 | 0:23:14 | |
so that the surgeon can perform or focus his attention on more | 0:23:14 | 0:23:18 | |
important things in the surgery. | 0:23:18 | 0:23:20 | |
While the low-level things can be done automatically. | 0:23:20 | 0:23:25 | |
The term low level is, of course, relative. | 0:23:25 | 0:23:29 | |
Not many of us have what it takes to do this with their own hands, | 0:23:29 | 0:23:33 | |
let alone what feels like a pair of remote boxing gloves. | 0:23:33 | 0:23:37 | |
It is totally the wrong way! | 0:23:37 | 0:23:39 | |
Am I putting the blunt end in? Yes. | 0:23:39 | 0:23:41 | |
LAUGHTER | 0:23:41 | 0:23:45 | |
Oh, my gosh, I am so sorry. | 0:23:45 | 0:23:48 | |
What a thoroughly beautiful place this is to study, isn't it? | 0:23:51 | 0:23:54 | |
I have a feeling we will be coming back | 0:23:54 | 0:23:56 | |
here in the not-too-distant future. | 0:23:56 | 0:23:57 | |
I hope you enjoyed our look around UC Berkeley, all the backstage fun | 0:23:57 | 0:24:01 | |
and photos are available on Twitter. | 0:24:01 | 0:24:03 | |
We will see you soon. | 0:24:03 | 0:24:08 | |
If your Saturday was cloudy, wet at times, for Sunday, | 0:24:28 | 0:24:31 | |
sunnier skies on the way. | 0:24:31 | 0:24:32 | |
But that's only half the story. | 0:24:32 | 0:24:33 | |
With some occasional sunshine cloud will build and the threat | 0:24:33 | 0:24:36 | |
of heavy and possibly thundery showers breaking out. | 0:24:36 | 0:24:41 | |
This is how it looks first thing for early risers, overnight rain around | 0:24:41 | 0:24:45 | |
East Anglia and south-east England, patchy mist and fog around. | 0:24:45 | 0:24:47 | |
Elsewhere, for many we will have a sunny start | 0:24:47 | 0:24:50 | |
but a few overnight showers going into the first part of the morning, | 0:24:50 | 0:24:55 | |
maybe fringing the west of Northern Ireland and western parts | 0:24:55 | 0:24:57 | |
of Scotland, a spot of rain maybe too in the north-east of Scotland. | 0:24:57 | 0:25:03 | |
Many in northern England getting off to a sunny start, | 0:25:03 | 0:25:05 | |
some patchy cloud here and there. | 0:25:05 | 0:25:09 | |
The threat from the word go catching a shower in parts of Wales to the | 0:25:09 | 0:25:13 | |
far south-west of England, much of the Midlands starting fine but for | 0:25:13 | 0:25:16 | |
ease daily and south-east England, a grey and murky start for some, maybe | 0:25:16 | 0:25:19 | |
damp but some of the early rain will clear east. | 0:25:19 | 0:25:29 | |
Sunshine with the showers getting going as we go deeper | 0:25:29 | 0:25:31 | |
into the morning and afternoon. | 0:25:31 | 0:25:33 | |
Fairly light winds, slow moving and potentially heavy | 0:25:33 | 0:25:34 | |
and thundery downpours. | 0:25:34 | 0:25:36 | |
Parts of East Anglia and south-east England could miss some of | 0:25:36 | 0:25:39 | |
the showers until late in the day. | 0:25:39 | 0:25:42 | |
Top temperatures around 18 or 19. | 0:25:42 | 0:25:47 | |
Taking part or watching the Great Manchester Run? | 0:25:47 | 0:25:49 | |
A fine morning in Manchester but cloud will build | 0:25:49 | 0:25:53 | |
and an increasing chance of showers breaking here going into | 0:25:53 | 0:25:56 | |
the lunchtime afternoon period. | 0:25:56 | 0:25:57 | |
Let's look at the picture for Sunday night. | 0:25:57 | 0:26:02 | |
Many of the showers will gradually fade away. | 0:26:02 | 0:26:04 | |
A mixture of some patchy cloud but long clear spells coming through | 0:26:04 | 0:26:07 | |
but patchy mist and fog around. | 0:26:07 | 0:26:08 | |
Temperatures will dip, it will turn out to be quite chilly | 0:26:08 | 0:26:17 | |
because in rural spots we could get to mid-single figures. | 0:26:17 | 0:26:19 | |
A chill in the air first thing, a change on the weather picture with | 0:26:19 | 0:26:23 | |
a ridge of high pressure starting to slide towards us, exerting | 0:26:23 | 0:26:26 | |
its influence for some in the western side of the UK on Monday. | 0:26:26 | 0:26:29 | |
Showers not quite in the same position because some | 0:26:29 | 0:26:31 | |
showers will get going on Monday, Northern Ireland will miss most | 0:26:31 | 0:26:35 | |
of these, western fringes, Wales, south-west England looking drier. | 0:26:35 | 0:26:37 | |
Central and eastern parts will see showers breaking out and some could | 0:26:37 | 0:26:40 | |
be heavy and possibly thundery. | 0:26:40 | 0:26:42 | |
A bit of a breeze developing to the east | 0:26:42 | 0:26:46 | |
coast of the UK and that will bring the temperature down a few degrees. | 0:26:46 | 0:26:49 | |
The easterly wind or north-easterly wind will be a feature this week. | 0:26:49 | 0:26:52 | |
Tuesday will be a quieter day but on that easterly flow, more cloud | 0:26:52 | 0:26:56 | |
on Wednesday and outbreaks of rain coming in from the east. | 0:26:56 | 0:26:58 | |
Bye for now. | 0:26:58 | 0:27:07 |