0:00:00.000,0:00:00.981
This is Dom.

0:00:00.981,0:00:02.674
He's a friendly little robot

0:00:02.674,0:00:04.713
that's super good at only one thing.

0:00:04.713,0:00:06.676
Setting up a butt-ton of dominos

0:00:06.676,0:00:08.124
really really fast.

0:00:08.124,0:00:10.184
It's taken five years to get to this point

0:00:10.184,0:00:11.879
but according to our initial tests,

0:00:11.879,0:00:13.810
we have hopes that he might be more than

0:00:13.810,0:00:16.333
ten times faster than the fastest human.

0:00:16.333,0:00:18.250
So today we're gonna put him to the test

0:00:18.250,0:00:20.250
going head to head against he world's

0:00:20.250,0:00:21.372
foremost domino expert,

0:00:21.372,0:00:23.133
who unfortunately is a mere human.

0:00:23.133,0:00:24.456
Then we're gonna attempt a

0:00:24.456,0:00:26.376
Guinness world record and he's gonna try

0:00:26.376,0:00:27.848
and fill this entire warehouse

0:00:27.848,0:00:28.679
with a mural

0:00:28.679,0:00:30.180
of a hundred thousand dominos.

0:00:30.180,0:00:32.486
And for context, setting up a domino mural

0:00:32.486,0:00:34.583
that size would take a team of seven

0:00:34.583,0:00:36.265
skilled builders one full week.

0:00:36.265,0:00:38.210
Dom here, is gonna attempt to do it

0:00:38.210,0:00:40.464
by himself in 24 hours.

0:00:40.464,0:00:42.020
Now I know what you're thinking,

0:00:42.020,0:00:42.837
"Big whoop Mark,"

0:00:42.837,0:00:44.808
because as a kid you might have had a toy

0:00:44.808,0:00:45.867
that looked like this.

0:00:45.867,0:00:47.440
Or even this custom robot

0:00:47.440,0:00:48.797
KiwiCo made me that can drop

0:00:48.797,0:00:50.012
twenty dominos in a row.

0:00:50.012,0:00:52.108
So isn't a bit overkill to utilize

0:00:52.108,0:00:53.306
an autonomous robot,

0:00:53.306,0:00:54.990
a half mile of Hot Wheels tracks,

0:00:54.990,0:00:56.516
and a high speed robotic arm?

0:00:56.516,0:00:58.218
And I get it because our designs

0:00:58.218,0:01:00.176
look like this where we were just trying

0:01:00.176,0:01:02.178
to hack a Roomba when we first tried to

0:01:02.178,0:01:03.194
tackle this problem

0:01:03.194,0:01:04.369
exactly five years ago.

0:01:04.369,0:01:07.500
But then pesky details with scale arise

0:01:07.500,0:01:09.970
like for starters, just how much

0:01:09.970,0:01:10.972
100,000 dominos is.

0:01:10.972,0:01:13.724
So the robot will need to come and reload

0:01:13.724,0:01:15.650
at least 1,000 times.

0:01:15.650,0:01:18.168
But how exactly do you reload it?

0:01:18.168,0:01:20.150
And how would it know exactly where

0:01:20.150,0:01:21.992
to drop each domino and what color

0:01:21.992,0:01:22.979
it should be?

0:01:22.979,0:01:24.647
And how do you make it so reliable,

0:01:24.647,0:01:26.374
that it doesn't screw up once

0:01:26.374,0:01:28.867
in a 100,000 drops of a domino?

0:01:28.867,0:01:31.320
A system to reliably tackle issues

0:01:31.320,0:01:33.190
at scales like this is just going to be

0:01:33.190,0:01:34.485
inherently super complex.

0:01:34.485,0:01:36.471
Like ten times more complex

0:01:36.471,0:01:38.519
than my automatic bullseye dartboard,

0:01:38.519,0:01:40.467
which to this point was probably the most

0:01:40.467,0:01:41.988
complicated build on my channel.

0:01:41.988,0:01:43.355
So after failing off and on

0:01:43.355,0:01:44.180
for three years,

0:01:44.180,0:01:45.999
I was doing a Q and A at Makerfaire

0:01:45.999,0:01:47.798
and I told the crowd if anyone wanted

0:01:47.798,0:01:49.535
to help me with the brutal challenge

0:01:49.535,0:01:50.695
to hit me up afterwards.

0:01:50.695,0:01:51.990
And to my absolute delight,

0:01:51.990,0:01:53.407
two freshmen from Stanford

0:01:53.407,0:01:54.759
and a software engineer from

0:01:54.759,0:01:55.551
The Bay Area,

0:01:55.551,0:01:57.090
all took me up on the challenge.

0:01:57.090,0:01:58.866
So I hired them and two years later,

0:01:58.866,0:01:59.811
here we were.

0:01:59.811,0:02:01.670
Now before I show you how it all works,

0:02:01.670,0:02:03.704
I just wanted to put him in a head to head

0:02:03.704,0:02:05.749
competition to see how good he really was.

0:02:05.749,0:02:07.603
And for that we need the undisputed

0:02:07.603,0:02:09.215
heavyweight champion on YouTube

0:02:09.215,0:02:10.526
for all things dominos,

0:02:10.526,0:02:11.768
Lily Hevesh.

0:02:11.768,0:02:14.744
Lily, you are known on YouTube as

0:02:14.744,0:02:16.240
The Queen of Dominos right?

0:02:16.240,0:02:17.980
People do call me The Domino Queen.

0:02:17.980,0:02:19.460
And for very good reason,

0:02:19.460,0:02:21.409
with over 1.2 billion views on

0:02:21.409,0:02:22.251
her channel,

0:02:22.251,0:02:23.607
you've almost certainly seen

0:02:23.607,0:02:25.105
one of her incredible creations

0:02:25.105,0:02:26.785
over her 12 years on the platform.

0:02:26.785,0:02:27.804
She's so good,

0:02:27.804,0:02:29.651
she's even got her own line of dominos

0:02:29.651,0:02:30.925
you can buy in stores.

0:02:30.925,0:02:32.683
Ok, so here's the challenge Lily.

0:02:32.683,0:02:34.705
I want you to set up like 300 dominos

0:02:34.705,0:02:36.977
right now and let's see how long it takes

0:02:36.977,0:02:37.896
a human to do that.

0:02:37.896,0:02:38.620
Ok.

0:02:39.500,0:02:40.860
Clock starts,

0:02:41.683,0:02:42.523
Now.

0:02:44.167,0:02:45.642
I got to do two hands.

0:02:46.629,0:02:47.802
If you need me, Lily,

0:02:48.180,0:02:50.160
just sitting here reading my newspaper.

0:02:50.160,0:02:52.914
For you kids at home a newspaper is like

0:02:52.914,0:02:54.995
a boring ipad made from trees.

0:02:56.854,0:02:59.675
That's actually pretty fast.

0:03:01.503,0:03:03.343
Oh no.

0:03:03.654,0:03:07.136
Disaster, the foibles of being human.

0:03:07.200,0:03:09.716
Ok Lily are ready for this?

0:03:09.716,0:03:10.673
No.

0:03:10.673,0:03:11.882
I've seen enough.

0:03:11.882,0:03:13.285
(Failure to whistle)

0:03:13.285,0:03:15.123
I actually don't know how to whistle.

0:03:15.123,0:03:18.444
This, is the Dominator.

0:03:18.444,0:03:21.108
Oh my god

0:03:21.108,0:03:22.772
Wow

0:03:22.772,0:03:23.859
I love the eyes.

0:03:23.859,0:03:25.933
A good set of googly eyes will go

0:03:25.933,0:03:27.870
a long ways.

0:03:27.870,0:03:30.750
Ok boy, let em down.

0:03:30.750,0:03:32.527
I suck at dominos, Lily,

0:03:32.527,0:03:35.796
but i'm good at engineering which means

0:03:35.796,0:03:38.319
I'm actually really good at dominos.

0:03:39.469,0:03:40.943
We even showed off

0:03:40.943,0:03:42.651
the Dominator doubled-stacked

0:03:42.651,0:03:44.110
the middle row for you.

0:03:44.110,0:03:45.186
That is impressive,

0:03:45.186,0:03:47.219
that is seriously impressive.

0:03:47.219,0:03:48.705
This technique of laying down

0:03:48.705,0:03:50.393
a tile of 300 dominos at once

0:03:50.393,0:03:52.255
was really the key that helped us crack

0:03:52.255,0:03:53.904
the scale and reliability issues.

0:03:53.904,0:03:55.994
And its probably my favorite part about

0:03:55.994,0:03:56.795
the Dominator,

0:03:56.795,0:03:58.412
besides his wiggly tail of course.

0:03:58.412,0:03:59.870
Here's Josh to explain more.

0:03:59.870,0:04:01.512
So these 3D printed funnels here,

0:04:01.512,0:04:03.395
which allow us to drop all 300 dominos

0:04:03.395,0:04:04.315
all at once.

0:04:04.315,0:04:06.307
And the mechanism that drops those into

0:04:06.307,0:04:07.639
the top of this tray

0:04:07.639,0:04:09.282
we'll show that in just a second.

0:04:09.282,0:04:10.954
And if we remove these funnels here

0:04:10.954,0:04:12.471
we can see that the dominos are

0:04:12.471,0:04:14.231
precisely placed in their locations.

0:04:14.231,0:04:15.939
This allows us to place 300 dominos

0:04:15.939,0:04:17.850
exactly where we want them all at once.

0:04:17.850,0:04:19.876
And they don't fall out because of what we

0:04:19.876,0:04:21.810
call the Connect 4 mechanism under here.

0:04:21.810,0:04:23.186
But if we trigger the servo,

0:04:23.186,0:04:25.144
then it slides that Connect 4 tray over

0:04:25.144,0:04:26.781
and drops them all at once

0:04:26.781,0:04:29.453
making for some gratuitous, beautiful

0:04:29.453,0:04:30.761
slow-mo shots.

0:04:42.634,0:04:44.378
And so while this looks very cool,

0:04:44.378,0:04:46.052
obviously dropping from that height

0:04:46.052,0:04:47.107
wouldn't be effective.

0:04:47.107,0:04:48.776
So we lower the whole platform down

0:04:48.776,0:04:49.960
on this ball screw.

0:04:49.960,0:04:51.544
Then set them right on the floor,

0:04:51.544,0:04:53.593
which turned out to be incredibly reliable

0:04:53.593,0:04:55.898
So Dom took the W in round one.

0:04:55.898,0:04:58.070
But now it's time for the endurance round.

0:04:58.070,0:05:01.199
Ok, first one to 10,000 dominos wins.

0:05:01.199,0:05:02.825
Lily, you ready?

0:05:02.825,0:05:03.832
I'm ready.

0:05:03.832,0:05:05.381
Dominator, you ready?

0:05:07.322,0:05:08.167
Start

0:05:12.645,0:05:13.779
Oh my god

0:05:13.779,0:05:14.682
Wow

0:05:14.682,0:05:16.108
I aready failed.

0:05:16.108,0:05:17.175
That's great.

0:05:23.648,0:05:24.669
And to Lily's credit,

0:05:24.669,0:05:26.545
she was actually insanely fast.

0:05:26.545,0:05:30.673
Just not, you know, robot fast.

0:05:30.673,0:05:31.856
So unfair,

0:05:31.856,0:05:33.426
so unfair.

0:05:33.426,0:05:35.344
On top of that she had to handle a very

0:05:35.344,0:05:37.688
large distraction with emotional maturity

0:05:37.688,0:05:39.174
of a 9 year old.

0:05:40.380,0:05:42.637
Yep, I think I'm doing pretty good.

0:05:46.859,0:05:48.635
You're doing very good for a human

0:05:48.635,0:05:49.686
I'll give you that.

0:05:50.901,0:05:51.639
Oh no

0:05:51.639,0:05:53.379
Woah

0:05:57.421,0:05:59.839
No what, no what Lily?

0:05:59.839,0:06:01.288
Get out, Get out

0:06:01.656,0:06:04.633
Aaaaaahhh

0:06:04.633,0:06:06.452
That feels so much faster than

0:06:06.452,0:06:07.649
it probably looks.

0:06:07.649,0:06:08.741
How's Lily doing?

0:06:08.741,0:06:09.685
Tired.

0:06:09.685,0:06:11.557
And so while Lily's output slowed down

0:06:11.557,0:06:12.408
considerably,

0:06:12.408,0:06:13.619
Dom's did not.

0:06:13.619,0:06:15.622
And I should mention we sometimes call him

0:06:15.622,0:06:17.213
Dom but that's just short for his

0:06:17.213,0:06:18.158
legal birth name,

0:06:18.158,0:06:19.287
which as noted before,

0:06:19.287,0:06:20.465
is Dominator.

0:06:20.465,0:06:21.406
Cause you know like

0:06:21.406,0:06:22.301
domino

0:06:22.301,0:06:23.373
Dominator

0:06:23.373,0:06:24.818
whatever, it all works.

0:06:24.818,0:06:26.683
I'm gonna head to the bathroom.

0:06:26.683,0:06:30.203
Oh, Lily has to go to the bathroom.

0:06:30.203,0:06:31.363
I'm human, right?

0:06:31.363,0:06:33.595
Dominator do you have to go

0:06:33.595,0:06:34.818
to the bathroom?

0:06:34.818,0:06:36.067
Didn't think so.

0:06:39.841,0:06:42.397
9,000 perfectly laid dominos in a little

0:06:42.397,0:06:43.494
over two hours.

0:06:43.494,0:06:45.494
Actually 9,000 and 1,

0:06:45.494,0:06:47.963
we got a bonus domino out there in

0:06:47.963,0:06:49.359
the middle of this field.

0:06:49.359,0:06:51.122
May or may not have been on purpose,

0:06:51.122,0:06:53.532
but now we can say that it's over 9,000.

0:06:53.532,0:06:54.908
It was a pretty clear result

0:06:54.908,0:06:56.495
and Lily, of course, was gracious

0:06:56.495,0:06:58.496
in her defeat to the machine overlords.

0:06:58.496,0:07:00.340
So all that was left to do now,

0:07:00.340,0:07:01.760
was to knock em down.

0:07:06.170,0:07:08.206
Yes! That was satisfying.

0:07:08.496,0:07:09.838
So we went head to head with

0:07:09.838,0:07:11.515
the world's foremost domino expert

0:07:11.515,0:07:12.636
and came out on top.

0:07:12.636,0:07:14.605
And now it's time for the real challenge.

0:07:14.605,0:07:16.292
To attempt a Guinness World Record,

0:07:16.292,0:07:17.992
and see how quickly we can fill

0:07:17.992,0:07:20.339
this entire room with a mural,

0:07:20.339,0:07:22.143
of over 100,000 dominos.

0:07:22.143,0:07:23.187
Alright buddy,

0:07:23.187,0:07:24.299
you got the game plan,

0:07:24.299,0:07:25.886
now you just got to get out there

0:07:25.886,0:07:26.640
and execute.

0:07:28.074,0:07:30.193
Godspeed little fella, Godspeed.

0:07:36.715,0:07:41.314
300 dominos down, 102,000 left to go.

0:08:04.680,0:08:06.353
So we're about six hours in

0:08:06.353,0:08:07.677
but more importantly,

0:08:07.677,0:08:10.135
We just got our first Goomba.

0:08:10.135,0:08:11.439
It's beautiful.

0:08:11.439,0:08:13.605
Back to work Dom.

0:08:15.179,0:08:16.576
And the best part of working

0:08:16.576,0:08:17.917
really hard for a few years,

0:08:17.917,0:08:19.499
is that the last 24 hours

0:08:19.499,0:08:20.821
are super relaxing.

0:08:23.959,0:08:25.876
And with that tile placed,

0:08:25.876,0:08:28.306
we are officially half way done.

0:08:28.306,0:08:31.048
With over 50,000 dominos put down,

0:08:31.048,0:08:33.240
and just a little over 12 hours.

0:08:33.240,0:08:35.867
And Dom, woah easy boy,

0:08:35.867,0:08:38.684
just showing no signs of slowing down.

0:08:38.684,0:08:39.826
So this is a good point

0:08:39.826,0:08:41.861
to explain the rest of the robotics system

0:08:41.861,0:08:43.180
It all starts over here

0:08:43.180,0:08:44.602
with the loading station that

0:08:44.602,0:08:46.030
Josh and John Luke spent a lot

0:08:46.030,0:08:46.954
of time optimizing.

0:08:46.954,0:08:48.441
The dominos are loaded by color

0:08:48.441,0:08:49.554
on these conveyer belts

0:08:49.554,0:08:50.883
and then a Kuka robot arm

0:08:50.883,0:08:52.683
grabs them and places them in one of

0:08:52.683,0:08:55.376
300 loading shoots made from 2.7 miles

0:08:55.376,0:08:56.730
worth of Hot Wheels tracks.

0:08:56.730,0:08:58.204
And you could load Dom directly

0:08:58.204,0:08:59.216
with the robot arm,

0:08:59.216,0:09:01.223
but this is much faster because he doesn't

0:09:01.223,0:09:01.938
have to wait,

0:09:01.938,0:09:03.284
he just comes in here to the

0:09:03.284,0:09:04.718
docking station and the lower

0:09:04.718,0:09:06.346
platform slides over so the bottem

0:09:06.346,0:09:08.043
layer of 300 dominos gets loaded up

0:09:08.043,0:09:08.786
all at once.

0:09:08.786,0:09:10.710
And we also had a back up loading system

0:09:10.710,0:09:12.471
using a tray just incase at any point

0:09:12.471,0:09:13.856
the robot arm wasn't working.

0:09:13.856,0:09:15.322
Besides the Hot Wheels tracks,

0:09:15.322,0:09:16.917
there's a ton of 3D printed parts

0:09:16.917,0:09:18.614
throughout the build that we either

0:09:18.614,0:09:20.286
printed ourselves or, if we were in

0:09:20.286,0:09:22.054
a pinch, my friends at MatterHackers

0:09:22.054,0:09:22.791
helped us out.

0:09:22.791,0:09:23.806
So that's the loader,

0:09:23.806,0:09:25.528
now how about the Dominator himself?

0:09:25.528,0:09:27.391
How does Dom know exactly where to go

0:09:27.391,0:09:28.867
in the room to drop a domino?

0:09:28.867,0:09:30.589
So we preprogramed the route for

0:09:30.589,0:09:32.267
all 102,000 dominos.

0:09:32.267,0:09:34.099
So the robot knows exactly where to go

0:09:34.099,0:09:35.112
right from the start.

0:09:35.112,0:09:36.494
Then as we're driving around,

0:09:36.494,0:09:38.022
we use these indoor GPS sensors

0:09:38.022,0:09:39.643
to track the position of the robot

0:09:39.643,0:09:41.149
so it knows roughly where it is

0:09:41.149,0:09:42.817
and then as we get closer the place

0:09:42.817,0:09:44.299
where the dominos need to drop,

0:09:44.299,0:09:45.846
we use these IR cameras that are

0:09:45.846,0:09:47.296
tracking markers on the ground to make

0:09:47.296,0:09:48.337
sure the robot lines up perfectly

0:09:48.337,0:09:49.357
every single time.

0:09:49.357,0:09:50.607
So the vision from the beginning was that

0:09:50.607,0:09:51.603
we could set Dom up

0:09:51.603,0:09:53.063
we could turn off the lights and leave,

0:09:53.063,0:09:54.279
and come back the next morning

0:09:54.279,0:09:55.654
and you've got like a full field

0:09:55.654,0:09:56.535
of dominos set up.

0:09:56.535,0:09:57.481
He could work all night in the dark

0:09:57.481,0:09:58.227
just fine.

0:09:58.227,0:09:59.120
Alright now how bout these

0:09:59.120,0:10:00.123
super cool wheels?

0:10:00.123,0:10:01.585
So these are called omni-wheels

0:10:01.585,0:10:03.025
and they're awesome because they let you

0:10:03.025,0:10:04.369
translate it any direction you want.

0:10:04.369,0:10:06.396
So this is way better than like your car

0:10:06.396,0:10:08.198
where if you need to move a little bit

0:10:08.198,0:10:09.037
to the left or right,

0:10:09.037,0:10:10.812
you have to make like a five point turn.

0:10:10.812,0:10:12.173
So with these guys you can move any

0:10:12.173,0:10:13.691
direction you want to adjust for small

0:10:13.691,0:10:14.907
corrections in the placement

0:10:14.907,0:10:15.497
of the dominos.

0:10:15.497,0:10:16.927
These wheels are powered by these

0:10:16.927,0:10:18.719
clear path, brushless DC server motors.

0:10:18.719,0:10:20.332
These are like the gold standard in terms

0:10:20.332,0:10:21.497
of speed and accuracy.

0:10:21.497,0:10:22.790
And they allow us to slide the robot

0:10:22.790,0:10:24.274
around by even just a couple millimeters

0:10:24.274,0:10:24.885
a time,

0:10:24.885,0:10:26.503
which is super useful when we're trying

0:10:26.503,0:10:27.566
to make real fine adjustments for placing

0:10:27.566,0:10:28.495
the dominos down.

0:10:28.495,0:10:30.677
Now obviously that's just the uppermost

0:10:30.677,0:10:32.407
tip of the iceberg tip.

0:10:32.407,0:10:35.072
But Dom's brain is over 14,000 lines

0:10:35.072,0:10:36.400
of code all from scratch.

0:10:36.400,0:10:37.726
So if you want to go way deeper into

0:10:37.726,0:10:38.830
the technical details I'll

0:10:38.830,0:10:40.283
put a link in the video's description,

0:10:40.283,0:10:41.621
where I'll just put it all in one spot.

0:10:41.621,0:10:43.501
Now back to finishing the second half.

0:11:14.332,0:11:16.229
So the Dominator has been running

0:11:16.229,0:11:17.924
just under 24 hours.

0:11:17.924,0:11:20.605
And this is a bit of a momentous tile here

0:11:24.265,0:11:26.187
It's a me Mario.

0:11:31.893,0:11:36.135
102,300 dominos are on the floor

0:11:36.135,0:11:37.023
succesfully.

0:11:37.023,0:11:39.200
This is the last 300.

0:11:39.200,0:11:41.399
I think this is a moment.

0:11:41.399,0:11:43.238
You guys get back over here.

0:11:43.238,0:11:46.173
Josh and Alex, let's observe it.

0:11:46.173,0:11:48.658
Don't blow this Dom, you got it buddy

0:11:48.658,0:11:49.712
finish strong.

0:12:00.287,0:12:01.282
We got it.

0:12:01.282,0:12:03.780
Just over 24 hours,

0:12:03.780,0:12:05.564
to lay all the dominos.

0:12:05.564,0:12:06.833
Gentlemen

0:12:08.447,0:12:10.840
It feels really fulfilling as an engineer

0:12:10.840,0:12:12.872
to see the design prosses yield results

0:12:12.872,0:12:13.542
like this.

0:12:13.542,0:12:15.025
And speaking of the engineering

0:12:15.025,0:12:16.051
design prosses,

0:12:16.051,0:12:18.175
my month long creative engineering course

0:12:18.175,0:12:19.709
where I teach this process,

0:12:19.709,0:12:21.472
and where you watch me make three builds

0:12:21.472,0:12:22.601
from scratch, and you make

0:12:22.601,0:12:24.137
three creative builds of your own.

0:12:24.137,0:12:26.123
Is once again open for enrollment for

0:12:26.123,0:12:28.228
a bonus Summer session right now.

0:12:28.228,0:12:29.168
So go to

0:12:29.168,0:12:29.904
monthly.com/markrober

0:12:29.904,0:12:31.911
or use the link in the video description.

0:12:31.911,0:12:33.287
And I'll see you in class.

0:12:33.287,0:12:34.736
So now with everything set up,

0:12:34.736,0:12:37.039
the final step was to knock em down.

0:12:37.039,0:12:38.549
You can see John loading in the Mario

0:12:38.549,0:12:40.032
pipes because they were going to be our

0:12:40.032,0:12:40.895
trigger mechanism.

0:12:40.895,0:12:42.431
The way that works is we've got four

0:12:42.431,0:12:43.974
Hot Wheels cars glued to the bottom of

0:12:43.974,0:12:45.846
this platform that rides in these

0:12:45.846,0:12:47.665
parallel Hot Wheels tracks.

0:12:47.665,0:12:49.844
Then you slap a green sliding shell on top,

0:12:49.844,0:12:51.065
and a motor at the end

0:12:51.065,0:12:52.635
pulls the cart along the tracks with

0:12:52.635,0:12:53.113
a string.

0:12:53.113,0:12:54.850
Then the shell contacts the lever arm

0:12:54.850,0:12:56.238
at each pipe like this,

0:12:56.238,0:12:57.723
which causes them to roll forward

0:12:57.723,0:13:00.007
down the ramp hopefully into the dominos.

0:13:00.007,0:13:01.260
Ok now I'm nervous.

0:13:02.388,0:13:05.008
I wasn't nervous, now I'm nervous.

0:13:05.008,0:13:05.872
OK

0:13:05.872,0:13:06.827
3

0:13:06.827,0:13:07.696
2

0:13:07.696,0:13:08.742
1

0:13:08.742,0:13:09.655
Go

0:13:14.695,0:13:15.791
Yes! Two!

0:13:16.922,0:13:17.977
Three!

0:13:19.491,0:13:20.686
Four!

0:13:21.373,0:13:22.341
Five!

0:13:28.591,0:13:30.389
Oh my gosh

0:13:42.357,0:13:45.271
Got em wooo!

0:13:45.271,0:13:46.308
Yes!

0:13:46.308,0:13:47.619
Awesome!

0:13:49.192,0:13:50.480
Holy cow!

0:13:51.141,0:13:53.539
Wooooaaah!

0:13:54.063,0:13:55.659
Oh my gosh

0:13:56.938,0:13:59.173
And in the end Dom was 50 times faster

0:13:59.173,0:14:00.748
than the skilled domino builder

0:14:00.748,0:14:02.179
and he got himself a world record

0:14:02.179,0:14:02.985
to show for it.

0:14:02.985,0:14:04.706
Although to be fair to us organisms,

0:14:04.706,0:14:06.517
It was in the non-human category.

0:14:06.517,0:14:08.420
And at that point after five years,

0:14:08.420,0:14:09.845
we were just so relieved to be done,

0:14:09.845,0:14:11.262
we got a little carried away carried away

0:14:11.262,0:14:12.673
celebrating the champ with

0:14:12.673,0:14:14.071
an appropriate sendoff.

0:14:22.934,0:14:24.814
Six year old me would be so stoked

0:14:24.814,0:14:26.590
to know that I would eventually build

0:14:26.590,0:14:28.555
a robot that could set up all the dominos

0:14:28.555,0:14:29.281
for me.

0:14:29.281,0:14:31.170
So if you want the same feeling of making

0:14:31.170,0:14:33.147
things with your hands to do cool things,

0:14:33.147,0:14:35.020
but you don't want to wait 35 years.

0:14:35.020,0:14:36.884
Then my friends at KiwiCo have got

0:14:36.884,0:14:37.842
the answer.

0:14:37.842,0:14:40.637
In fact, this is an actual mini version

0:14:40.637,0:14:43.047
of the Dom I designed together with them

0:14:43.047,0:14:44.455
just for this video.

0:14:44.455,0:14:47.570
I mean how awesome and adorable is that.

0:14:47.570,0:14:48.953
He's like the protégé.

0:14:48.953,0:14:50.287
The Dom Jr.

0:14:50.287,0:14:52.038
They got an incredible team of designers

0:14:52.038,0:14:54.037
that work on each project and honestly

0:14:54.037,0:14:55.649
if I wasn't making YouTube videos

0:14:55.649,0:14:57.427
I think I would apply to be on their team.

0:14:57.427,0:14:59.512
Then all the concepts are contested

0:14:59.512,0:15:01.271
and then its delivered right to your door

0:15:01.271,0:15:01.995
every month,

0:15:01.995,0:15:03.669
so you can foster your creativity

0:15:03.669,0:15:05.452
and make your abilities in a fun

0:15:05.452,0:15:06.223
and natural way.

0:15:06.223,0:15:08.135
So for example this domino machine box,

0:15:08.135,0:15:09.499
inside you've got all the supplies

0:15:09.499,0:15:10.646
you need to put it together.

0:15:10.646,0:15:12.275
You've got simple instructions.

0:15:12.275,0:15:13.719
And then a booklet with more info

0:15:13.719,0:15:16.032
like a Q and A with someone you might know.

0:15:16.032,0:15:17.782
And this is the tinker crate line

0:15:17.782,0:15:19.256
But they've got eight different

0:15:19.256,0:15:21.066
subscription lines each catering to

0:15:21.066,0:15:22.648
a different age group and topic.

0:15:22.648,0:15:23.958
So if you want to support my channel

0:15:23.958,0:15:25.376
and feed your brain while having

0:15:25.376,0:15:26.448
fun at the same time,

0:15:26.448,0:15:29.553
go to kiwico.com/roberdomino

0:15:29.553,0:15:31.571
or use the link in the video description

0:15:31.571,0:15:32.831
to get an excusive offer.

0:15:32.831,0:15:34.521
so thanks to KiwiCo for being so great

0:15:34.521,0:15:35.870
to work with, thanks to Dom

0:15:35.870,0:15:38.549
and Dom Jr. for just dominating,

0:15:38.549,0:15:40.977
and of course thanks to you for watching.

0:15:41.320,0:15:42.369
What do we do now?

0:15:42.369,0:15:43.944
We're about to clean it up.

0:15:43.944,0:15:48.219
Oh there we go, a cleanup robot.