Browse content similar to 14/05/2016. Check below for episodes and series from the same categories and more!
Line | From | To | |
---|---|---|---|
And the man who bought BHS for ?1 said that the retailer could have | :00:00. | :00:00. | |
conceived of his plans had been given more time. | :00:00. | :00:00. | |
Now it is time for Click. This week - running blind | :00:00. | :00:13. | |
in the Desert, literally. And fab, fun, flexi fairy | :00:14. | :00:15. | |
lights for your phone. For many, the ultimate test | :00:16. | :00:38. | |
of human endurance. A physically | :00:39. | :00:48. | |
and mentally draining feat that quite literally | :00:49. | :00:57. | |
changes your body. Now imagine doing one four times | :00:58. | :01:01. | |
in four days, in a desert. This is the Ultramarathon, | :01:02. | :01:12. | |
a 150-mile-long race through the Namibian desert, in some of the most | :01:13. | :01:18. | |
difficult conditions on the planet. And if you can't see, | :01:19. | :01:21. | |
you need a guide. And in this case, | :01:22. | :01:25. | |
the guide was a smartphone. You are experiencing | :01:26. | :01:28. | |
sensory deprivation. I had headphones in with the app, | :01:29. | :01:36. | |
so I couldn't really hear anything. All you've got is the feeling under | :01:37. | :01:39. | |
foot, you're never too sure Running through uncertain desert | :01:40. | :01:42. | |
terrain is what Simon Wheatcroft has spent | :01:43. | :01:46. | |
much of the past week doing. Simon has a degenerative eye disease | :01:47. | :01:49. | |
that has left him blind since he was 17 years old, | :01:50. | :01:53. | |
but he has never let himself be After proposing to his | :01:54. | :01:56. | |
girlfriend halfway up Simon took up running in the field | :01:57. | :02:03. | |
behind his house. He then moved to the path | :02:04. | :02:06. | |
and then the road, memorising a range | :02:07. | :02:14. | |
of objects, distances The things that you can't memorise | :02:15. | :02:16. | |
are the things that are moving. They probably don't | :02:17. | :02:21. | |
realise that you're blind, because you just wouldn't imagine, | :02:22. | :02:23. | |
if you were running towards me, What I try to do to sort of deal | :02:24. | :02:26. | |
with that is a lot of people are not willing to run as close | :02:27. | :02:33. | |
to the road as I am, so I am literally running | :02:34. | :02:35. | |
the curbs down. If you make a mistake, | :02:36. | :02:37. | |
you are running into the cars. A lot of people aren't | :02:38. | :02:40. | |
willing to be that close. To avoid people, I run the line that | :02:41. | :02:42. | |
other people aren't willing to run. I have been hit by a van | :02:43. | :02:46. | |
and stuff, but I carry on running. Stuff happens. | :02:47. | :02:50. | |
Get up, carry on running. His amazing feat has been made | :02:51. | :02:52. | |
possible by technology that helps him to keep his | :02:53. | :02:56. | |
amazing feet exactly Originally using a run-tracking | :02:57. | :02:59. | |
app called Runkeeper, the team here at the IBM | :03:00. | :03:03. | |
Bluemix Garage have helped to develop and adapt it specifically | :03:04. | :03:06. | |
for Simon's desert needs. The difficulty with the desert | :03:07. | :03:11. | |
is there is not a normal path. You can't just go along | :03:12. | :03:16. | |
the street with Google Maps, There's also no mobile | :03:17. | :03:19. | |
network in the desert, to make it work without mobile | :03:20. | :03:25. | |
network, just running on a GPS and help him not to get | :03:26. | :03:30. | |
off track and guide him If you go too far to the right, | :03:31. | :03:33. | |
it's a high-pitched beep, and to the | :03:34. | :03:44. | |
left it is a lower-pitched beep. the further left or right | :03:45. | :03:47. | |
you get off track. It beeps like crazy, because you're | :03:48. | :03:55. | |
too far from the desert. BEEPING | :03:56. | :04:00. | |
We're too far from the desert! We're too far to the left | :04:01. | :04:02. | |
of the desert now. Not right, because that would be | :04:03. | :04:06. | |
a high-pitched beep. We're too far to the left | :04:07. | :04:08. | |
of the desert. Simon actually trialled | :04:09. | :04:12. | |
the app earlier this year Except, Simon being Simon, | :04:13. | :04:14. | |
he went to Boston, ran Because, well... | :04:15. | :04:20. | |
Yeah, no idea. Developing such a specialised app | :04:21. | :04:31. | |
is not without a unique I had the idea, because he had | :04:32. | :04:33. | |
his cute dog, Ascot, with him at our office, | :04:34. | :04:47. | |
and I ask him, "Is Ascot And he said, "No, no, | :04:48. | :04:50. | |
it's the desert and the dog is not running with me | :04:51. | :04:54. | |
that far and that wrong, And I said, "OK, cool, | :04:55. | :04:56. | |
how about we do this app with the dog barking | :04:57. | :05:00. | |
if you get off track? But then he said he might be | :05:01. | :05:07. | |
scared to hallucinate because of the heat | :05:08. | :05:10. | |
and everything, so, yeah... Personally, if I started | :05:11. | :05:12. | |
hallucinating that dogs were chasing But, anyway, this app has | :05:13. | :05:14. | |
been a key component in allowing Simon to achieve his | :05:15. | :05:18. | |
dream of competing alone, without the aid of a guide - | :05:19. | :05:21. | |
or this lovely fella. When I was in the open-plain desert, | :05:22. | :05:25. | |
it worked fantastically. I got that real sense | :05:26. | :05:32. | |
of independence, it was the first chance I had to | :05:33. | :05:34. | |
run alone. There was one point where | :05:35. | :05:37. | |
I was running into a station and I just started to cry, | :05:38. | :05:40. | |
because I couldn't believe that, for the first | :05:41. | :05:42. | |
time in my life, I could It was thanks to this app and these | :05:43. | :05:45. | |
beeps that were guiding me Simon made it almost | :05:46. | :05:51. | |
100 miles into the race before having to pull out due | :05:52. | :06:00. | |
to the terrain and extreme heat. But, if anything, that | :06:01. | :06:03. | |
disappointment has made him even more determined | :06:04. | :06:05. | |
to succeed next time. As I finished, I was going to put | :06:06. | :06:06. | |
on Facebook that "I tried, I failed, I'm going back" - | :06:07. | :06:16. | |
but I deleted that bit because I thought, "If she finds | :06:17. | :06:19. | |
out through Facebook, So when I landed last | :06:20. | :06:21. | |
night and we went out for dinner, she said, | :06:22. | :06:25. | |
"You're going back, aren't you?" Otherwise you wouldn't be taking me | :06:26. | :06:27. | |
out for such a nice meal! Wow. | :06:28. | :06:31. | |
Simon, shake my hand. This is such a great story. | :06:32. | :06:33. | |
Thank you so much. My pleasure. | :06:34. | :06:35. | |
Good luck for next year. That time of year when you know | :06:36. | :06:37. | |
summertime's on its way. But, for many, that also means | :06:38. | :06:47. | |
the start of allergy season and, with allergies on the rise, | :06:48. | :06:52. | |
over 30% of people are suffering So I've been taking a look | :06:53. | :06:55. | |
at some of the latest Whilst much of our time may be spent | :06:56. | :06:59. | |
in environments we can't control, Sensio AIR hopes to improve | :07:00. | :07:03. | |
matters in your own home. This allergen- and air-particle | :07:04. | :07:12. | |
analyser closely tracks the quality of the air around you and, | :07:13. | :07:14. | |
at the same time, you can input any symptoms that you're | :07:15. | :07:18. | |
having into the app, which means that it'll | :07:19. | :07:21. | |
match up any data on how you're feeling with what's | :07:22. | :07:24. | |
going on in the surrounding | :07:25. | :07:26. | |
environment. Its sensors aim to identify allergy | :07:27. | :07:31. | |
triggers like dustmites or pollen, potential irritants such as acetone | :07:32. | :07:34. | |
or formaldehyde, plus mould spores, They work in conjunction | :07:35. | :07:36. | |
with harmful gases, temperatures, humidity, and these factors | :07:37. | :07:51. | |
have a direct impact on the way this | :07:52. | :07:59. | |
interacts with you and causes your We are able to tell you exactly what | :08:00. | :08:01. | |
was in the environment during your symptoms, and all these data | :08:02. | :08:10. | |
that we are exchanging today allows us to really personalise our | :08:11. | :08:14. | |
unique algorithms. The settings of | :08:15. | :08:16. | |
your home, if you have a home automation, or by giving new direct | :08:17. | :08:19. | |
advice on how to improve the air at home, whether it is by hoovering | :08:20. | :08:22. | |
your carpet, or by washing your cat, or by simply closing the windows | :08:23. | :08:26. | |
when it is allergy season. They are not the only | :08:27. | :08:29. | |
company hoping to This device is pitching itself | :08:30. | :08:30. | |
as a smart personal air purifier. And surprisingly, | :08:31. | :08:43. | |
indoor quality can be substantially worse | :08:44. | :08:44. | |
than that of outdoors. Or for a place to simply keep track | :08:45. | :08:46. | |
of your symptoms, then this app could help, | :08:47. | :08:49. | |
whilst at the same time you will be Input your symptoms | :08:50. | :08:52. | |
to their Britain Breathing app and they will match them up | :08:53. | :08:58. | |
to time- and location-based The aim is to better | :08:59. | :09:01. | |
understand common triggers and potentially learn why | :09:02. | :09:07. | |
allergies are increasing. are environmental, | :09:08. | :09:11. | |
though. If yours is a food allergy | :09:12. | :09:15. | |
or intolerance, then this app could | :09:16. | :09:16. | |
come in handy. Tell Spoon Guru the foods | :09:17. | :09:18. | |
you can't eat, or about any special diets, and it will help come | :09:19. | :09:21. | |
up with ideas and recipes for what | :09:22. | :09:23. | |
you can eat. For the purposes of testing the app, | :09:24. | :09:25. | |
I have told it that I am intolerant to gluten and | :09:26. | :09:28. | |
shellfish so that we can see what it | :09:29. | :09:30. | |
thinksI can and cannot eat. This is the best bit from me, | :09:31. | :09:35. | |
you can I was impressed by just how | :09:36. | :09:37. | |
many products It also came up with these clear, | :09:38. | :09:49. | |
easy-to-read ingredient lists and nutritional graphs, | :09:50. | :09:56. | |
which are handy for speed or if you struggle with the small | :09:57. | :09:59. | |
print on labels. The next stage could be devices | :10:00. | :10:01. | |
like this prototype. The Nima aims to test solid foods | :10:02. | :10:05. | |
or liquids for gluten. A small amount is placed | :10:06. | :10:08. | |
in this tube, where it is the device will tell you whether it | :10:09. | :10:11. | |
is safe to consume or not. Hello, and welcome | :10:12. | :10:21. | |
to The Week in Tech. InstaGram revealed a minimalist | :10:22. | :10:26. | |
new logo that induced a rainbow of | :10:27. | :10:28. | |
responses. Samsung also announced a micro | :10:29. | :10:32. | |
SD that is even more massive than the most | :10:33. | :10:34. | |
massive-ist one before it. And NASA treated us all to this | :10:35. | :10:37. | |
spectacular astronomical event - that tiny little | :10:38. | :10:43. | |
dot there is Mercury passing between us | :10:44. | :10:45. | |
and the sun. It was also the week that engineers | :10:46. | :10:47. | |
at Google unveiled a set of 13 emojis that they say | :10:48. | :10:49. | |
better represent women in the world | :10:50. | :10:52. | |
of work. The designs, which include doctors, | :10:53. | :10:56. | |
scientists and bussinesswomen have been presented to the | :10:57. | :10:59. | |
Unicode Consortium, that is the body charged with the incredibly | :11:00. | :11:02. | |
21st-century job of approving and | :11:03. | :11:04. | |
standardising emojis. And it has been | :11:05. | :11:06. | |
a great week for tech | :11:07. | :11:08. | |
billionaire Elon Musk. First, his company SpaceX | :11:09. | :11:09. | |
stuck another landing had its first public test | :11:10. | :11:17. | |
success. Hyperloop 1 ran this impressive, | :11:18. | :11:21. | |
albeit short, testable We visited Hyperloop | :11:22. | :11:23. | |
HQ back in January, and it is pretty cool | :11:24. | :11:30. | |
to And finally, in what some | :11:31. | :11:31. | |
are calling a major breakthrough, a robotic arm has | :11:32. | :11:35. | |
finally figured out how to spin a The robotic arm developed | :11:36. | :11:39. | |
by researchers at the University of Washington uses a combination | :11:40. | :11:48. | |
of delicate hand-like hardware and computer simulation in order to work | :11:49. | :11:51. | |
out how to complete the task. By learning from its | :11:52. | :11:54. | |
mistakes, the arm can gradually get better at handling | :11:55. | :11:56. | |
and manipulating objects. I never thought I would | :11:57. | :11:58. | |
see the day when a robot could spin coffee | :11:59. | :12:01. | |
beans like a real human. | :12:02. | :12:02. | |
Incredible. their head in a mobile | :12:03. | :12:07. | |
phone these days, don't they? it is the platform | :12:08. | :12:10. | |
to be on. And in developing nations, | :12:11. | :12:14. | |
many have skipped the PC altogether and gone straight to cheaper, $100 | :12:15. | :12:17. | |
smartphones, to do their work and | :12:18. | :12:19. | |
shop online. So what if you wanted | :12:20. | :12:20. | |
to make your own mobile app? and how much it | :12:21. | :12:23. | |
would cost? mobile developers | :12:24. | :12:26. | |
are not easy to find. Both in places like London, | :12:27. | :12:29. | |
and in areas that are more remote In a moment, I will | :12:30. | :12:34. | |
talk to someone who is hoping to open up mobile apps | :12:35. | :12:37. | |
to anyone with a good idea. But first, Dan watched children | :12:38. | :12:43. | |
young as six build their own mobile apps | :12:44. | :12:45. | |
in his final report from Malawi in Africa. | :12:46. | :12:48. | |
Three, two, one. Go! | :12:49. | :12:58. | |
We think this is the first mobile app-building | :12:59. | :13:00. | |
contest for children to be held in Africa. | :13:01. | :13:02. | |
And it has been made possible because these kids have | :13:03. | :13:05. | |
spent just a few hours the day before learning how to use a mobile | :13:06. | :13:12. | |
phone app that builds mobile phone apps. | :13:13. | :13:14. | |
All you have to do is to decide what to create. | :13:15. | :13:16. | |
of things. different types | :13:17. | :13:27. | |
It might be an app about Malawi, and app about mhub, or an | :13:28. | :13:30. | |
The SnapApp builder works on smartphones, but it | :13:31. | :13:33. | |
This app is supposed to help raise awareness for those who do not know | :13:34. | :13:39. | |
I will also add a page where they can help, so I | :13:40. | :13:43. | |
can maybe tie in a link to Unicef, and they can help donate money to | :13:44. | :13:47. | |
these girls who do not have education. | :13:48. | :13:48. | |
This year, for the first time in Africa, | :13:49. | :13:50. | |
smartphones will outsell more basic feature phones. | :13:51. | :13:58. | |
Yet creating just a basic mobile app to work on that smartphone could | :13:59. | :14:00. | |
set you back $2000 to $3000 in development costs. | :14:01. | :14:04. | |
And that is if you can find a developer. | :14:05. | :14:08. | |
This new breed of apps could change that, and | :14:09. | :14:11. | |
they are getting support from some big names, | :14:12. | :14:15. | |
with providing food and water than tech. | :14:16. | :14:23. | |
What we're doing today is we are asking the children to | :14:24. | :14:27. | |
think for themselves and come up with innovative ideas | :14:28. | :14:29. | |
that will help other children. | :14:30. | :14:31. | |
Sometimes adults are not always best placed to think | :14:32. | :14:33. | |
about what the needs really are. Children think outside the box. | :14:34. | :14:36. | |
For those who are still put off doing it | :14:37. | :14:38. | |
themselves, the staff at the mhub, the technology | :14:39. | :14:41. | |
service so they can create one for anyone who walks in. | :14:42. | :14:45. | |
It is easy enough now to create apps. | :14:46. | :14:53. | |
I have built mobile appls in 27 hours. | :14:54. | :14:55. | |
And I can have something that is a good | :14:56. | :14:58. | |
Snap says that in nine months users in 197 | :14:59. | :15:04. | |
countries have created 4000 apps which are all now available online. | :15:05. | :15:07. | |
In a few weeks, e-commerce services will | :15:08. | :15:09. | |
allow buying at the touch of a screen. | :15:10. | :15:14. | |
For these children today, it is all about winning a smartphone. But the | :15:15. | :15:20. | |
real prize will be the communities and transformed by the app which are | :15:21. | :15:26. | |
now becoming commonplace. Dan reporting on the first | :15:27. | :15:35. | |
competition of its kind, Since then, many more | :15:36. | :15:37. | |
app-building contests have I'm joined by Asaf Kindler, | :15:38. | :15:41. | |
who you saw in that film. You are the boss of SnapApp, | :15:42. | :15:47. | |
one of a growing band What has happened | :15:48. | :15:50. | |
since that first competition? We have seen competitions | :15:51. | :15:53. | |
happening all over the world, from Africa to Latin America, | :15:54. | :15:56. | |
India, and also the US. It is the impact on the people, | :15:57. | :15:59. | |
the people building an app. The kind | :16:00. | :16:03. | |
of app you can build is simplistic, the equivalent of a mobile website | :16:04. | :16:06. | |
where you can share information You can't build the next | :16:07. | :16:09. | |
Angry Birds using an app builder. At this stage, no, | :16:10. | :16:16. | |
but what you can build now is both on the builder of the app | :16:17. | :16:18. | |
and the user. With these type of app-builders, | :16:19. | :16:35. | |
you can build about 80% of the things you want to, and | :16:36. | :16:38. | |
the 20% left, the innovative part, could be later integrated into the | :16:39. | :16:41. | |
builder as we see them coming out. Asaf, thank you for your time. | :16:42. | :16:44. | |
Best of luck with it all. As you know, we love a good | :16:45. | :16:47. | |
world-first on this programme, Last year, we filmed | :16:48. | :16:53. | |
and edited an entire programme using just mobile phones and tablets. | :16:54. | :16:57. | |
These days, everyone is at it. But mobiles can be really useful | :16:58. | :17:04. | |
for journalists, helping them report | :17:05. | :17:05. | |
more quickly from more places. LJ Rich has been to the Mobile | :17:06. | :17:08. | |
Journalism Conference in Dublin to check out the latest | :17:09. | :17:11. | |
tools of the trade. It's not everyday you see mobile | :17:12. | :17:16. | |
journalists sitting still, but here are around 700 | :17:17. | :17:19. | |
of them transfixed a convention | :17:20. | :17:23. | |
for those who want to improve their The exhibition in the next room | :17:24. | :17:28. | |
shows off the next generation of mobile gadgetry soon to be | :17:29. | :17:36. | |
snapped up by these early adopters. This prosumer accessory | :17:37. | :17:40. | |
ecosystem centres around one fact - many of the latest smartphones can | :17:41. | :17:45. | |
shoot at extremely high resolution but can't yield a polished result | :17:46. | :17:49. | |
without a bit of help. Simple things that elevate | :17:50. | :17:54. | |
smartphone footage include lighting. These flexible LED mats are easy | :17:55. | :18:01. | |
to control, though pricey unless Any kind of steady | :18:02. | :18:04. | |
light source improves your video. Even battery-powered fairy lights | :18:05. | :18:09. | |
are better than nothing. Simply holding a smartphone steady | :18:10. | :18:14. | |
makes footage look good, and many holders are on display to | :18:15. | :18:19. | |
give broadcasters a helping hand. Some solutions are more cumbersome | :18:20. | :18:22. | |
than others. Padcaster turns your iPad | :18:23. | :18:26. | |
into a mobile production studio, essentially a frame that connects | :18:27. | :18:30. | |
various accessories to your tablet, including lenses, | :18:31. | :18:34. | |
lights and microphones. Another holder has also caught | :18:35. | :18:38. | |
my eye, or should that be ear? A one-handed mobile grip | :18:39. | :18:41. | |
with an integrated microphone input. Getting decent sound so you can play | :18:42. | :18:46. | |
it back is a problem, and a lot of manufacturers are trying to address | :18:47. | :18:50. | |
that, including IK Multimedia, which means you can plug things | :18:51. | :18:52. | |
like radio microphones straight in. This works with any smartphone, | :18:53. | :19:01. | |
although sound records Mobiles just don't | :19:02. | :19:04. | |
like recording more than one channel As most broadcasters record both the | :19:05. | :19:09. | |
person speaking and background noise One company attempting to address | :19:10. | :19:15. | |
this is Sennheiser, who's betting on 360 video and VR | :19:16. | :19:21. | |
becoming more popular. This is their third prototype | :19:22. | :19:28. | |
of a fully 360-degree sound mic not The processing is done afterwards | :19:29. | :19:31. | |
from mono and stereo through to fully immersive 3D sound | :19:32. | :19:36. | |
depending on your preference. The company told me it | :19:37. | :19:39. | |
will probably cost around ?1500. More affordable is this app, Mavis, | :19:40. | :19:47. | |
which puts a pro-camera experience inside an iPhone, | :19:48. | :19:51. | |
including the complexity a pro camera offers, which may be | :19:52. | :19:56. | |
off-putting to novice users. Far from a simple point-and-shoot, | :19:57. | :20:00. | |
the app gives access to manual controls like white | :20:01. | :20:04. | |
balance, focus-pulling Being able to tweak settings can | :20:05. | :20:06. | |
make for arty and therefore polished shots for those who fancy | :20:07. | :20:12. | |
climbing up the learning curve. but cheap compared to | :20:13. | :20:15. | |
a new manual camera. There is currently no | :20:16. | :20:19. | |
single solution to filming broadcast-quality footage | :20:20. | :20:22. | |
with a mobile phone, although if the appetite | :20:23. | :20:25. | |
for digital storytelling continues to spread, it won't be long before | :20:26. | :20:28. | |
smartphone manufacturers themselves want a piece of the prosumer | :20:29. | :20:30. | |
accessory action. I wonder whether you spotted | :20:31. | :20:38. | |
the fact that that entire report Good. | :20:39. | :20:41. | |
Now, can a machine make art? The first annual robot art | :20:42. | :20:50. | |
competition aims to discover | :20:51. | :20:51. | |
if they can. Teams from | :20:52. | :20:53. | |
around the world have entered and have one simple task - to create | :20:54. | :21:03. | |
the next robotic Rubens - and I'm The founder | :21:04. | :21:06. | |
of the competition is Andrew Conru. We know robots can perfectly | :21:07. | :21:09. | |
recreate an image What is the point | :21:10. | :21:11. | |
of a robot art competition? First, it is very difficult to get a | :21:12. | :21:17. | |
robot to paint something perfectly. An inkjet printer can create | :21:18. | :21:21. | |
something stunningly precise, but when it comes to using | :21:22. | :21:26. | |
a physical brush and paint, it is a lot more tricky | :21:27. | :21:30. | |
and there is a lot more nuance. The idea behind it is trying to see | :21:31. | :21:34. | |
what is the process between an | :21:35. | :21:37. | |
artist's creation and the execution. and artificial intelligence | :21:38. | :21:43. | |
behind that, is the core. I'm sure there will be those | :21:44. | :21:48. | |
around who say is this art if it is entirely created | :21:49. | :21:51. | |
by a machine? The key part is whether or not | :21:52. | :21:55. | |
the artwork itself creates something | :21:56. | :21:58. | |
that gives an emotional response. If you look at when cameras | :21:59. | :22:02. | |
came around, we went from people who were painting portraits to | :22:03. | :22:06. | |
basically taking a photo. We have photos now worth hundreds | :22:07. | :22:10. | |
of thousands of dollars because they are able to capture something | :22:11. | :22:13. | |
that is inspiring and gives | :22:14. | :22:15. | |
an emotional feedback response. There are different teams and robots | :22:16. | :22:19. | |
using different pieces of software. Can you give us | :22:20. | :22:23. | |
an idea how they work? How are the robots creating | :22:24. | :22:26. | |
these images? We have 15 teams | :22:27. | :22:31. | |
from seven countries, and each of them have taken a different approach | :22:32. | :22:35. | |
on how to create an artwork. Perhaps the majority of them start | :22:36. | :22:41. | |
with some sort of photograph that Then the software tends to parse | :22:42. | :22:44. | |
the image, find different regions it wants to have for different | :22:45. | :22:54. | |
colours, figures out what layers it needs to do first, | :22:55. | :23:06. | |
then sends those commands to the robot arm that will try to | :23:07. | :23:08. | |
paint them in sequence. It is a whole spectrum in terms | :23:09. | :23:11. | |
of complete automatic software to something that is more teamwork with | :23:12. | :23:14. | |
a human designer. Where do you go from here? | :23:15. | :23:16. | |
What is next for the competition? We have been loose | :23:17. | :23:19. | |
on the rules this year. Our goal was to have every robot | :23:20. | :23:22. | |
have a physical brush and dip it But we realised art has evolved | :23:23. | :23:25. | |
in which there is anywhere from an inkjet printer | :23:26. | :23:37. | |
to a plotter system all the way to what was | :23:38. | :23:39. | |
originally intended with a brush. in terms of what constitutes | :23:40. | :23:43. | |
the execution side of the artwork. In future years, | :23:44. | :23:53. | |
we will be more stringent and try to keep all of the teams | :23:54. | :23:56. | |
using a similar type of materials. We will bring you the results | :23:57. | :23:59. | |
of the competition Follow us on Twitter | :24:00. | :24:02. | |
for more fun during the week. And they serve persons and me would | :24:03. | :24:35. | |
not remain jailed just how warm things were last | :24:36. | :24:37. |