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which this week is presented by the robot-obsessed singer Ana Matronic. | :00:00. | :00:00. | |
We hear a lot about how robots might affect the future of our economy, | :00:00. | :00:00. | |
but they are already making a big impact on art and culture. | :00:00. | :00:09. | |
I'm Ana Matronic, lead singer of the Scissors Sisters, | :00:10. | :00:11. | |
In my edition of Artsnight, I want to explore our enduring fascination | :00:12. | :00:20. | |
with robots across pop culture, from music to art, fiction to film. | :00:21. | :00:23. | |
Right now, there's never been a more exciting time for robots. | :00:24. | :00:36. | |
They're becoming skilled at playing complex music | :00:37. | :00:42. | |
and are now adept at drawing, while one artist has even become part | :00:43. | :00:48. | |
With advancing technology, it seems machines are now getting | :00:49. | :00:54. | |
in on the act and pushing the boundaries of creativity. | :00:55. | :00:56. | |
Are we on the verge of an artistic robot takeover? | :00:57. | :01:07. | |
HARRY ROBOT: The future belongs to me! | :01:08. | :01:13. | |
I've been obsessed by robots ever since I first clapped eyes | :01:14. | :01:16. | |
on them in the movie theatre when I was not even three-years-old. | :01:17. | :01:19. | |
I love reading about them, I love thinking about them, | :01:20. | :01:23. | |
I love writing about them and, man, do I want one... | :01:24. | :01:26. | |
The first film I saw that sealed my love for robots was, of | :01:27. | :01:41. | |
Nearly 40 years on, the long awaited seventh episode, The Force Awakens, | :01:42. | :01:45. | |
is about to open in cinemas. It heralds the arrival of a brand new | :01:46. | :01:50. | |
But also the return of, officially, the most beloved | :01:51. | :02:00. | |
robot in movie history, R2-D2. | :02:01. | :02:02. | |
Resembling an industrial vacuum cleaner, | :02:03. | :02:05. | |
R2-D2 is a curiously endearing robot and one half of a comedy double act | :02:06. | :02:11. | |
C-3PO: Where do you think you're going? | :02:12. | :02:22. | |
R2: Bleep. | :02:23. | :02:28. | |
C-3PO: Well, I'm not going that way. | :02:29. | :02:30. | |
R2: Bleep bleep. | :02:31. | :02:39. | |
A plucky determined character, he regularly saves the day, and | :02:40. | :02:41. | |
When you think of famous robots and the best there is, | :02:42. | :02:45. | |
I think he's the first robot with a human element to him, | :02:46. | :03:06. | |
He's a little robot with lots of tricks up his sleeve. | :03:07. | :03:12. | |
He's kind of a cheekie chappie, but also an unsung hero | :03:13. | :03:14. | |
I think he's kind of a little bit angry. | :03:15. | :03:20. | |
He wanted to do what he wanted to do, | :03:21. | :03:24. | |
and if the other one didn't agree, it went off on its own anyway. | :03:25. | :03:27. | |
Today, R2 is an icon the world over, appearing in video games | :03:28. | :03:30. | |
The now familiar shape of R2 was originally conceived by artist | :03:31. | :03:44. | |
Ralph McQaurrie and brought to life in part for the big screen by | :03:45. | :03:54. | |
a 3 foot 8 inch actor called Kenny Baker, operating inside a model. | :03:55. | :03:57. | |
Behind the scenes footage from the first film reveals how | :03:58. | :04:02. | |
the British special effects team built radio controlled versions | :04:03. | :04:05. | |
In the Force Awakens, the challenge of building | :04:06. | :04:13. | |
and maintaining R2 on set fell to two ordinary Star Wars fans. | :04:14. | :04:18. | |
This is the actual R2 from the new movie built by | :04:19. | :04:25. | |
the duo, amidst extreme secrecy for the biggest film release in years. | :04:26. | :04:28. | |
Amazingly, they were recruited from a special Star Wars fan club. | :04:29. | :04:34. | |
So the R2 Builders Club is a worldwide community where people | :04:35. | :04:38. | |
can download plans, buy parts and build an R2. | :04:39. | :04:43. | |
It took me five years in total to build my R2 and I was | :04:44. | :04:46. | |
sort of single at the time, so I didn't have any girlfriends or wives | :04:47. | :04:50. | |
In 2013, there was a Star Wars celebration in Essen, Germany, so in | :04:51. | :04:59. | |
a moment of feeling very brave, I approached Katherine Kennedy, head | :05:00. | :05:02. | |
of Lucasfilm, and made a comment about if they were making any films | :05:03. | :05:06. | |
in the UK, and if they needed any droids, get in touch. | :05:07. | :05:10. | |
And then, from a very cheeky comment, I was called several months | :05:11. | :05:18. | |
later by Lucasfilms asking if I was available to work on the new film. | :05:19. | :05:22. | |
It was incredible, a once in a lifetime opportunity. | :05:23. | :05:24. | |
I really couldn't celebrate that much as I had to keep it so quiet. | :05:25. | :05:30. | |
My wife knew, which was fair enough, but I've got two boys, two teenage | :05:31. | :05:33. | |
sons, but I decided to keep it quiet from them because of school chatter. | :05:34. | :05:39. | |
So I had to lie to them and make up a job I was doing! | :05:40. | :05:51. | |
Then the first photo broke, which JJ tweeted from the workshop. | :05:52. | :05:55. | |
That was the moment I told the children. | :05:56. | :05:58. | |
The first day we got there, I was in absolute awe | :05:59. | :06:00. | |
of all the talent and I felt like a very small fish in a big ocean. | :06:01. | :06:04. | |
During their year working on the film, Oliver | :06:05. | :06:06. | |
and Lee built four types of R2, with different capabilities, and were | :06:07. | :06:11. | |
responsible for remote controlling R2's every move and action on set. | :06:12. | :06:14. | |
This is what we class as the indoor version. | :06:15. | :06:17. | |
It's got a lower profile to make him look a bit like he's floating. | :06:18. | :06:23. | |
So it can spin on the spot, the dome can turn independently and because | :06:24. | :06:28. | |
of the drive structure we can literally put a mark there and he'll | :06:29. | :06:31. | |
One of the biggest concerns is it's going to fail or there's going to be | :06:32. | :06:48. | |
a problem and there's that constant worry that they will call action | :06:49. | :06:51. | |
But, luckily, it never happened, R2 worked flawlessly | :06:52. | :06:54. | |
and it couldn't, he couldn't, have been any better at all. | :06:55. | :06:58. | |
I think he's just timeless really, considering he was invented in '76, | :06:59. | :07:01. | |
And, you look at it now, I think he's stood the test | :07:02. | :07:08. | |
Hopefully, he's got a few more years ahead of him, I think. | :07:09. | :07:12. | |
Not only do we have world famous droid movie stars, robots today | :07:13. | :07:22. | |
We think of the arts - from literature to music or painting | :07:23. | :07:33. | |
- as innately human and what sets us apart from | :07:34. | :07:36. | |
But in the modern age, robots are increasingly flexing | :07:37. | :07:43. | |
their artistic muscles, working together with musicians and | :07:44. | :07:45. | |
artists to create some surprising and mind blowing new works. | :07:46. | :07:52. | |
I've come to the London Fine Art Studios for | :07:53. | :07:54. | |
So you really have to imagine you're in a life drawing class. | :07:55. | :08:07. | |
So you are going to look in front of you. | :08:08. | :08:10. | |
So I think this is my best side. Patrick | :08:11. | :08:16. | |
Tresset is a London-based French artist who's created five artist | :08:17. | :08:19. | |
robots and today I'm to be their muse! | :08:20. | :08:26. | |
It's hard for me not to grin ear to ear | :08:27. | :08:33. | |
because I'm squeeing so hard inside with excitement because I'm being | :08:34. | :08:35. | |
This looks a the me, looks at its paper and looks up. It gives it a | :08:36. | :08:44. | |
sort of life to it. I can never tell whether | :08:45. | :08:49. | |
its going to draw an interesting Sometimes a good surprise and | :08:50. | :09:07. | |
sometimes less good. This looks quite nice. They have the same | :09:08. | :09:10. | |
programme? They're all drawing | :09:11. | :09:14. | |
from different angles and all have got exactly the same software, but | :09:15. | :09:28. | |
I've just changed something in the nervousness of the arm and something | :09:29. | :09:30. | |
just after the camera and that I tried to be a painter | :09:31. | :09:33. | |
for almost 13 years. After 13 years, I kind | :09:34. | :09:41. | |
of lost my passion for painting. Everything that I did didn't | :09:42. | :09:43. | |
look right or didn't feel right. Then I kind of remembered that I | :09:44. | :09:46. | |
loved programming when I was a kid and so I started to | :09:47. | :09:48. | |
use computers to do what I didn't After 40 minutes, | :09:49. | :09:52. | |
the robot artists sign their work This one is childish. He seemed | :09:53. | :10:09. | |
confused. He was looking up-and-down at me a lot. Oh, I almost figured as | :10:10. | :10:17. | |
though it would be almost like a printer. Like an ink jet pringer | :10:18. | :10:24. | |
that would go line byline byline and what I associate with computers. So | :10:25. | :10:30. | |
that is not the case, obviously. Oh, that's one's great though. This one | :10:31. | :10:34. | |
is quite good. That one you can actually tell is me. Definitely. | :10:35. | :10:42. | |
Probably because I'm a narcissist. I like the one that looks the most | :10:43. | :10:43. | |
like me! So, Patrick, do I get to leave | :10:44. | :10:46. | |
with one of these today? I mean, | :10:47. | :10:49. | |
they are part of a bigger artwork so they are all kept, but what I do | :10:50. | :10:54. | |
is that I scan them and send them. It's not just in the world | :10:55. | :10:58. | |
of fine art that robots are flexing their creative muscles, | :10:59. | :11:15. | |
it's happening in music too. One of my favourite artists, | :11:16. | :11:22. | |
Tom Jenkinson - better known as Squarepusher - | :11:23. | :11:24. | |
has been at the cutting edge Recently, he composed an album | :11:25. | :11:27. | |
specially for a robot band, created I've come to meet Tom in his Essex | :11:28. | :11:33. | |
studio to find out more How your interest in this project | :11:34. | :11:57. | |
came about? I was approached by some Japanese robotists and they wanted | :11:58. | :12:02. | |
me to make a piece of music for their robot band to play. I couldn't | :12:03. | :12:06. | |
pass up that opportunity. It's not the sort of thing that happens every | :12:07. | :12:10. | |
day. I just had to see what that would be like. The Z machine | :12:11. | :12:17. | |
machines have a 22 armed drummer, a guitarist with 78 fingers and a | :12:18. | :12:22. | |
keyboardist that plays notes by shooting green lasers from its eyes. | :12:23. | :12:30. | |
Sad robot goes funny was the fist piece you composed for Z Machines. | :12:31. | :12:36. | |
You are composing for a 78-fingered guitarist. What it means is that you | :12:37. | :12:40. | |
could, for example, make chords that have a larger span than a normal | :12:41. | :12:45. | |
human hand could achieve. Also, the speed at which the notes can be | :12:46. | :12:49. | |
played, I mean, you can play over 100 notes a second. That is pretty | :12:50. | :12:54. | |
quick. I'm sure there are guitarists out there who would claim they can | :12:55. | :12:59. | |
do it. It can do it and do it consistently and doesn't get tired | :13:00. | :13:03. | |
it. Keeps going. It generates a particular kind sound that isn't | :13:04. | :13:08. | |
possible with human hands. I would imagine that composing for robots | :13:09. | :13:12. | |
you had a very specific place that you would want to go musically. I | :13:13. | :13:18. | |
wonder whethered we could make robots perform music that would be | :13:19. | :13:22. | |
for a listener emotionally involving. | :13:23. | :13:28. | |
I personally find it at points quite convincing actually. | :13:29. | :13:31. | |
I also encountered a sense of disappointment amongst some | :13:32. | :13:41. | |
people that when you tell them it's a robot playing. | :13:42. | :13:45. | |
It's like, oh wow, I thought it was an incredible | :13:46. | :13:47. | |
guitar player, this unbelievable, this super human technique | :13:48. | :13:50. | |
and then when you tell them it's a robot, then they actually become, | :13:51. | :13:58. | |
I always think that music and performing live is such | :13:59. | :14:04. | |
a human endeavour and so much to me lies in the idea of communication. | :14:05. | :14:11. | |
And it seems to me that even if we bring robots in, we'll still need | :14:12. | :14:15. | |
Yeah, but what's interesting, I think, | :14:16. | :14:20. | |
is that we're already augmenting our human performance with machinery. | :14:21. | :14:22. | |
I mean, if you come to one of my shows, for better or | :14:23. | :14:25. | |
I mean I'm playing a guitar, but it's not a guitar as you know it. | :14:26. | :14:38. | |
It's going through any number of different processes. | :14:39. | :14:40. | |
But there's other elements where there is no touch of human hand | :14:41. | :14:43. | |
And the fascinating thing I think is, | :14:44. | :14:47. | |
that I can be on the stage and yet everything that people are hearing | :14:48. | :14:50. | |
is generating by machines, the performance is done by the machine. | :14:51. | :14:53. | |
I'm just kind of babysitting the machines, and that's | :14:54. | :14:55. | |
And yet we can't let go of the human, because | :14:56. | :14:59. | |
if you took that supervisor away, no matter how superficial their job | :15:00. | :15:02. | |
If you take that away, suddenly it's not music performance anymore. | :15:03. | :15:06. | |
I look forward to hearing more from you and possibly some more | :15:07. | :15:10. | |
I would like some robot back up dancers, that's what I would like. | :15:11. | :15:18. | |
As robots get more sophisticated, one way forward is | :15:19. | :15:30. | |
for us humans to enhance our own abilities through technology. | :15:31. | :15:36. | |
I've been worshipping at the altar of all things bionic, | :15:37. | :15:39. | |
But inking your shoulder with computer circuitry is one thing, | :15:40. | :15:48. | |
actually becoming part machine quite another. | :15:49. | :15:55. | |
That's exactly what British born artist Neil Harbisson has done, | :15:56. | :15:59. | |
Neil Harbisson is officially the world's first cyborg artist | :16:00. | :16:07. | |
having had a technological device surgically implanted into his skull. | :16:08. | :16:12. | |
It's allowing him to create some unusual new art works. | :16:13. | :16:16. | |
I want to ask Neil about his decision to become a cyborg - | :16:17. | :16:19. | |
and it seems only fitting that we'll be using technology to communicate. | :16:20. | :16:23. | |
You are the first cyborg I am ever meeting so I am totally jazzed. | :16:24. | :16:31. | |
So Neil, tell me how this came about? | :16:32. | :16:36. | |
Well, I was born with an unusual visual condition called | :16:37. | :16:39. | |
acromatism, which is total colour blindness, so I see things | :16:40. | :16:42. | |
But I wanted to have a sense of colour. | :16:43. | :16:47. | |
So the only way of creating a new sense | :16:48. | :16:50. | |
So what I have now is this antenna implanted in my skull that allows | :16:51. | :16:57. | |
Exactly how does that work, how does it transmit the sound? | :16:58. | :17:02. | |
So the tip of the antenna has a light detector that detects the | :17:03. | :17:06. | |
And it transmits into a chip inside my skull that vibrates | :17:07. | :17:13. | |
So this vibration in my bone becomes a sound in my inner ear, | :17:14. | :17:18. | |
How has that changed your perception or your life? | :17:19. | :17:41. | |
At the beginning I had strong headaches | :17:42. | :17:43. | |
and I was really exhausted because I could hear colour everywhere. | :17:44. | :17:46. | |
So I was in a music composition constantly | :17:47. | :17:48. | |
But after five months it all became very, very normal. | :17:49. | :17:54. | |
When I actually felt cyborg was when I stopped feeling the difference | :17:55. | :17:57. | |
And this happened when I started to dream in colours. | :17:58. | :18:01. | |
And how has the antenna influenced and shaped your | :18:02. | :18:03. | |
Well, the antenna now allows me to, to express myself | :18:04. | :18:08. | |
from a new sense basically, which is the sonochromatic sense: | :18:09. | :18:10. | |
the sound of colour and the colour of sound. | :18:11. | :18:14. | |
Instead of playing an instrument, I can now play colours. | :18:15. | :18:21. | |
I can give colour concerts where instead of a piano I can just have | :18:22. | :18:24. | |
different coloured objects in front of me and then I amplify | :18:25. | :18:27. | |
And then I can create melodies with different coloured objects. | :18:28. | :18:32. | |
I can also do this with people's faces to create face concerts. | :18:33. | :18:36. | |
I started doing this in 2005 when Prince Charles came to | :18:37. | :18:39. | |
the university and he asked me, what is this? | :18:40. | :18:44. | |
And I explained this is an antenna to hear colours, and then I asked | :18:45. | :18:47. | |
That was the first sound portrait I did. | :18:48. | :18:54. | |
So I guess the next question is, not how do I | :18:55. | :18:56. | |
So your hair sounds F, a very high pitched F, and then | :18:57. | :19:04. | |
your lips sound F too, but it's a different scale of F, it's a low F. | :19:05. | :19:10. | |
If you could get close so I can hear the sound of your eyes. | :19:11. | :19:24. | |
It's a microtone between C and B | :19:25. | :19:26. | |
That's a chord, a unique musical chord. | :19:27. | :19:29. | |
Yes, so hearing colours has the secondary effect that when I | :19:30. | :19:54. | |
hear music or I hear sounds I can also paint this on a canvas. | :19:55. | :19:57. | |
And you have some paintings behind you. | :19:58. | :20:00. | |
Yes, there are several, this is New York New York. | :20:01. | :20:15. | |
From the first note to the last, so "start spreading | :20:16. | :20:19. | |
So it's note by note from the centre to the end. | :20:20. | :20:25. | |
So now I can listen to different artists. | :20:26. | :20:37. | |
For example, Andy Warhol sounds very loud. | :20:38. | :20:38. | |
Whereas Velasquez sounds very disturbing, sounds a bit | :20:39. | :20:43. | |
You should score a horror movie with paintings. | :20:44. | :20:50. | |
I''d be fantastic. And are you a Wi-Fi enabled hotspot? | :20:51. | :20:53. | |
I see it as a communication tool, as a sense. | :20:54. | :21:09. | |
And I think this is the next stage of internet that we | :21:10. | :21:12. | |
I hope you become a cyborg soon as well! | :21:13. | :21:22. | |
Cyborgs have long been represented in science fiction, as has | :21:23. | :21:25. | |
The question is, just how close are we to realising the kind | :21:26. | :21:35. | |
of sophisticated and clever mechanical people we've | :21:36. | :21:37. | |
Scientist and broadcaster Adam Rutherford, who worked | :21:38. | :21:44. | |
as an advisor on this year's AI hit film Ex Machina, is off to sort | :21:45. | :21:48. | |
In 2015, we saw a slew of blockbuster films and TV series | :21:49. | :21:59. | |
These portray lifelike machines with human-level consciousness | :22:00. | :22:04. | |
Now, this set of films are not like science fiction of the past | :22:05. | :22:12. | |
which were set in some distant future or a galaxy far, far away. | :22:13. | :22:15. | |
They present a vision of a future that's just | :22:16. | :22:22. | |
Chappie is a subversive romp of a film in | :22:23. | :22:27. | |
which a droid is reprogrammed to think and feel for itself. | :22:28. | :22:34. | |
Meanwhile in the dark and thought-provoking film from Alex | :22:35. | :22:39. | |
Garland, Ex Machina, we encounter the beautiful humanoid robot Ava. | :22:40. | :22:45. | |
A young coder sent to test Ava's human level intelligence | :22:46. | :22:48. | |
and consciousness is soon firmly in her thrall. | :22:49. | :22:52. | |
And in the recent hit TV series Humans, we are sold a vision | :22:53. | :23:05. | |
of robots that can be picked up as easily as your weekend shop | :23:06. | :23:09. | |
But some of these synths exhibit human like feelings and it's not | :23:10. | :23:13. | |
long before the real humans are forming deep relationships with | :23:14. | :23:16. | |
Hello Joe, I'm now securely bonded to you as my primary user. | :23:17. | :23:23. | |
So what's the truth behind the fiction? | :23:24. | :23:29. | |
Are we really that close to seeing human-like robots | :23:30. | :23:31. | |
I've come to visit a house in the Hertfordshire suburbs that is | :23:32. | :23:37. | |
Now admittedly, care-obot here doesn't | :23:38. | :24:18. | |
look quite as one might expect from the Hollywood movies. | :24:19. | :24:20. | |
But it's typical of where current technology is | :24:21. | :24:29. | |
at when it comes to robots designed to help around the home. | :24:30. | :24:32. | |
And thanks to a team at the University of Hertfordshire, | :24:33. | :24:34. | |
it's currently on a crash course in social interaction with humans! | :24:35. | :24:37. | |
Professor of Artificial Intelligence Kerstin Dautenhahn is in charge | :24:38. | :24:39. | |
Kerstin, so we're in this suburban house, but it's got robots in it. | :24:40. | :24:45. | |
When we started we did human robot interaction studies | :24:46. | :24:48. | |
You see when they come in, and it look like a normal house from | :24:49. | :25:01. | |
better. We equipped it with robots, lots of sensors, and lots of | :25:02. | :25:05. | |
technology, but it's still more similar to a normal home that you | :25:06. | :25:09. | |
We see a lot of robots in films, with artificial | :25:10. | :25:13. | |
How do they affect people's expectations about what real world | :25:14. | :25:17. | |
robots are actually like and what they are capable of? | :25:18. | :25:20. | |
Science fiction movies have a huge impact. | :25:21. | :25:21. | |
So for example, people think that robots, of course, | :25:22. | :25:23. | |
can not only think, not only have the AI as human beings | :25:24. | :25:26. | |
too, but they can also do lots of physical tasks very, very easily. | :25:27. | :25:35. | |
It should not be difficult for a robot to load and unload the | :25:36. | :25:42. | |
dishwasher or fold clothing, but teaching this to robot is a very, | :25:43. | :25:45. | |
very hard. As well as carrying out studies with | :25:46. | :25:51. | |
Care-o-bot - to assist elderly people | :25:52. | :25:54. | |
in the home - Kerstin's team has built a humanoid robot called Kaspar | :25:55. | :26:01. | |
to help children with autism. It would be disingenuous | :26:02. | :26:04. | |
of me not to point out he's pretty A lot of adults who see him | :26:05. | :26:09. | |
for the first time give exactly that Kaspar doesn't have | :26:10. | :26:15. | |
a complex real human face. It's simplified in a way | :26:16. | :26:18. | |
so that children with autism can Kaspar has several | :26:19. | :26:22. | |
autonomous behaviours. They are, for example, | :26:23. | :26:24. | |
triggered by touch senses. So let me just try to tickle | :26:25. | :26:26. | |
its feet. So these are all little, | :26:27. | :26:29. | |
simple games, but for a child with autism, these simple games help them | :26:30. | :26:42. | |
understand the basic principles. Because in the real world, | :26:43. | :26:49. | |
it's so complex that it's difficult for them to concentrate | :26:50. | :26:52. | |
on the fundamental things that are important, but they can do it when | :26:53. | :26:54. | |
they interact with such a robot. So how long is it going to be | :26:55. | :26:57. | |
before we see multi-tasking And how long is it going to be | :26:58. | :27:00. | |
before we see, you know, proper androids, | :27:01. | :27:04. | |
the kind that we see in the movies? It is still a big challenge but I | :27:05. | :27:09. | |
would expect in five to ten years time to see these systems in | :27:10. | :27:13. | |
people's homes - maybe not of the complexity of the ones you see in | :27:14. | :27:16. | |
science fiction, but in the sense of a system that can do a variety of | :27:17. | :27:19. | |
tasks very well in order to help. When it comes to the science-fiction | :27:20. | :27:41. | |
robots, the androids, from a technological point of view, we are | :27:42. | :27:48. | |
talking about hundreds of years will stop. | :27:49. | :27:54. | |
And I think we are certainly talking about hundreds | :27:55. | :27:56. | |
of years to see these wonderful, versatile, human-like robots that | :27:57. | :27:59. | |
are shown in the movies and that are almost undistinguishable | :28:00. | :28:01. | |
That's all from me and my new best friend here. | :28:02. | :28:09. | |
Well, the fourth named storm of the season | :28:10. | :28:54. | |
is bearing down upon us overnight and into tomorrow, | :28:55. | :28:57. |