WEBVTT 00:00:00.000 --> 00:00:00.981 This is Dom. 00:00:00.981 --> 00:00:02.674 He's a friendly little robot 00:00:02.674 --> 00:00:04.713 that's super good at only one thing. 00:00:04.713 --> 00:00:06.676 Setting up a butt-ton of dominos 00:00:06.676 --> 00:00:08.124 really really fast. 00:00:08.124 --> 00:00:10.184 It's taken five years to get to this point 00:00:10.184 --> 00:00:11.879 but according to our initial tests, 00:00:11.879 --> 00:00:13.810 we have hopes that he might be more than 00:00:13.810 --> 00:00:16.333 ten times faster than the fastest human. 00:00:16.333 --> 00:00:18.250 So today we're gonna put him to the test 00:00:18.250 --> 00:00:20.250 going head to head against he world's 00:00:20.250 --> 00:00:21.372 foremost domino expert, 00:00:21.372 --> 00:00:23.133 who unfortunately is a mere human. 00:00:23.133 --> 00:00:24.456 Then we're gonna attempt a 00:00:24.456 --> 00:00:26.376 Guinness world record and he's gonna try 00:00:26.376 --> 00:00:27.848 and fill this entire warehouse 00:00:27.848 --> 00:00:28.679 with a mural 00:00:28.679 --> 00:00:30.180 of a hundred thousand dominos. 00:00:30.180 --> 00:00:32.486 And for context, setting up a domino mural 00:00:32.486 --> 00:00:34.583 that size would take a team of seven 00:00:34.583 --> 00:00:36.265 skilled builders one full week. 00:00:36.265 --> 00:00:38.210 Dom here, is gonna attempt to do it 00:00:38.210 --> 00:00:40.464 by himself in 24 hours. 00:00:40.464 --> 00:00:42.020 Now I know what you're thinking, 00:00:42.020 --> 00:00:42.837 "Big whoop Mark," 00:00:42.837 --> 00:00:44.808 because as a kid you might have had a toy 00:00:44.808 --> 00:00:45.867 that looked like this. 00:00:45.867 --> 00:00:47.440 Or even this custom robot 00:00:47.440 --> 00:00:48.797 KiwiCo made me that can drop 00:00:48.797 --> 00:00:50.012 twenty dominos in a row. 00:00:50.012 --> 00:00:52.108 So isn't a bit overkill to utilize 00:00:52.108 --> 00:00:53.306 an autonomous robot, 00:00:53.306 --> 00:00:54.990 a half mile of Hot Wheels tracks, 00:00:54.990 --> 00:00:56.516 and a high speed robotic arm? 00:00:56.516 --> 00:00:58.218 And I get it because our designs 00:00:58.218 --> 00:01:00.176 look like this where we were just trying 00:01:00.176 --> 00:01:02.178 to hack a Roomba when we first tried to 00:01:02.178 --> 00:01:03.194 tackle this problem 00:01:03.194 --> 00:01:04.369 exactly five years ago. 00:01:04.369 --> 00:01:07.500 But then pesky details with scale arise 00:01:07.500 --> 00:01:09.970 like for starters, just how much 00:01:09.970 --> 00:01:10.972 100,000 dominos is. 00:01:10.972 --> 00:01:13.724 So the robot will need to come and reload 00:01:13.724 --> 00:01:15.650 at least 1,000 times. 00:01:15.650 --> 00:01:18.168 But how exactly do you reload it? 00:01:18.168 --> 00:01:20.150 And how would it know exactly where 00:01:20.150 --> 00:01:21.992 to drop each domino and what color 00:01:21.992 --> 00:01:22.979 it should be? 00:01:22.979 --> 00:01:24.647 And how do you make it so reliable, 00:01:24.647 --> 00:01:26.374 that it doesn't screw up once 00:01:26.374 --> 00:01:28.867 in a 100,000 drops of a domino? 00:01:28.867 --> 00:01:31.320 A system to reliably tackle issues 00:01:31.320 --> 00:01:33.190 at scales like this is just going to be 00:01:33.190 --> 00:01:34.485 inherently super complex. 00:01:34.485 --> 00:01:36.471 Like ten times more complex 00:01:36.471 --> 00:01:38.519 than my automatic bullseye dartboard, 00:01:38.519 --> 00:01:40.467 which to this point was probably the most 00:01:40.467 --> 00:01:41.988 complicated build on my channel. 00:01:41.988 --> 00:01:43.355 So after failing off and on 00:01:43.355 --> 00:01:44.180 for three years, 00:01:44.180 --> 00:01:45.999 I was doing a Q and A at Makerfaire 00:01:45.999 --> 00:01:47.798 and I told the crowd if anyone wanted 00:01:47.798 --> 00:01:49.535 to help me with the brutal challenge 00:01:49.535 --> 00:01:50.695 to hit me up afterwards. 00:01:50.695 --> 00:01:51.990 And to my absolute delight, 00:01:51.990 --> 00:01:53.407 two freshmen from Stanford 00:01:53.407 --> 00:01:54.759 and a software engineer from 00:01:54.759 --> 00:01:55.551 The Bay Area, 00:01:55.551 --> 00:01:57.090 all took me up on the challenge. 00:01:57.090 --> 00:01:58.866 So I hired them and two years later, 00:01:58.866 --> 00:01:59.811 here we were. 00:01:59.811 --> 00:02:01.670 Now before I show you how it all works, 00:02:01.670 --> 00:02:03.704 I just wanted to put him in a head to head 00:02:03.704 --> 00:02:05.749 competition to see how good he really was. 00:02:05.749 --> 00:02:07.603 And for that we need the undisputed 00:02:07.603 --> 00:02:09.215 heavyweight champion on YouTube 00:02:09.215 --> 00:02:10.526 for all things dominos, 00:02:10.526 --> 00:02:11.768 Lily Hevesh. 00:02:11.768 --> 00:02:14.744 Lily, you are known on YouTube as 00:02:14.744 --> 00:02:16.240 The Queen of Dominos right? 00:02:16.240 --> 00:02:17.980 People do call me The Domino Queen. 00:02:17.980 --> 00:02:19.460 And for very good reason, 00:02:19.460 --> 00:02:21.409 with over 1.2 billion views on 00:02:21.409 --> 00:02:22.251 her channel, 00:02:22.251 --> 00:02:23.607 you've almost certainly seen 00:02:23.607 --> 00:02:25.105 one of her incredible creations 00:02:25.105 --> 00:02:26.785 over her 12 years on the platform. 00:02:26.785 --> 00:02:27.804 She's so good, 00:02:27.804 --> 00:02:29.651 she's even got her own line of dominos 00:02:29.651 --> 00:02:30.925 you can buy in stores. 00:02:30.925 --> 00:02:32.683 Ok, so here's the challenge Lily. 00:02:32.683 --> 00:02:34.705 I want you to set up like 300 dominos 00:02:34.705 --> 00:02:36.977 right now and let's see how long it takes 00:02:36.977 --> 00:02:37.896 a human to do that. 00:02:37.896 --> 00:02:38.620 Ok. 00:02:39.500 --> 00:02:40.860 Clock starts, 00:02:41.683 --> 00:02:42.523 Now. 00:02:44.167 --> 00:02:45.642 I got to do two hands. 00:02:46.629 --> 00:02:47.802 If you need me, Lily, 00:02:48.180 --> 00:02:50.160 just sitting here reading my newspaper. 00:02:50.160 --> 00:02:52.914 For you kids at home a newspaper is like 00:02:52.914 --> 00:02:54.995 a boring ipad made from trees. 00:02:56.854 --> 00:02:59.675 That's actually pretty fast. 00:03:01.503 --> 00:03:03.343 Oh no. 00:03:03.654 --> 00:03:07.136 Disaster, the foibles of being human. 00:03:07.200 --> 00:03:09.716 Ok Lily are ready for this? 00:03:09.716 --> 00:03:10.673 No. 00:03:10.673 --> 00:03:11.882 I've seen enough. 00:03:11.882 --> 00:03:13.285 (Failure to whistle) 00:03:13.285 --> 00:03:15.123 I actually don't know how to whistle. 00:03:15.123 --> 00:03:18.444 This, is the Dominator. 00:03:18.444 --> 00:03:21.108 Oh my god 00:03:21.108 --> 00:03:22.772 Wow 00:03:22.772 --> 00:03:23.859 I love the eyes. 00:03:23.859 --> 00:03:25.933 A good set of googly eyes will go 00:03:25.933 --> 00:03:27.870 a long ways. 00:03:27.870 --> 00:03:30.750 Ok boy, let em down. 00:03:30.750 --> 00:03:32.527 I suck at dominos, Lily, 00:03:32.527 --> 00:03:35.796 but i'm good at engineering which means 00:03:35.796 --> 00:03:38.319 I'm actually really good at dominos. 00:03:39.469 --> 00:03:40.943 We even showed off 00:03:40.943 --> 00:03:42.651 the Dominator doubled-stacked 00:03:42.651 --> 00:03:44.110 the middle row for you. 00:03:44.110 --> 00:03:45.186 That is impressive, 00:03:45.186 --> 00:03:47.219 that is seriously impressive. 00:03:47.219 --> 00:03:48.705 This technique of laying down 00:03:48.705 --> 00:03:50.393 a tile of 300 dominos at once 00:03:50.393 --> 00:03:52.255 was really the key that helped us crack 00:03:52.255 --> 00:03:53.904 the scale and reliability issues. 00:03:53.904 --> 00:03:55.994 And its probably my favorite part about 00:03:55.994 --> 00:03:56.795 the Dominator, 00:03:56.795 --> 00:03:58.412 besides his wiggly tail of course. 00:03:58.412 --> 00:03:59.870 Here's Josh to explain more. 00:03:59.870 --> 00:04:01.512 So these 3D printed funnels here, 00:04:01.512 --> 00:04:03.395 which allow us to drop all 300 dominos 00:04:03.395 --> 00:04:04.315 all at once. 00:04:04.315 --> 00:04:06.307 And the mechanism that drops those into 00:04:06.307 --> 00:04:07.639 the top of this tray 00:04:07.639 --> 00:04:09.282 we'll show that in just a second. 00:04:09.282 --> 00:04:10.954 And if we remove these funnels here 00:04:10.954 --> 00:04:12.471 we can see that the dominos are 00:04:12.471 --> 00:04:14.231 precisely placed in their locations. 00:04:14.231 --> 00:04:15.939 This allows us to place 300 dominos 00:04:15.939 --> 00:04:17.850 exactly where we want them all at once. 00:04:17.850 --> 00:04:19.876 And they don't fall out because of what we 00:04:19.876 --> 00:04:21.810 call the Connect 4 mechanism under here. 00:04:21.810 --> 00:04:23.186 But if we trigger the servo, 00:04:23.186 --> 00:04:25.144 then it slides that Connect 4 tray over 00:04:25.144 --> 00:04:26.781 and drops them all at once 00:04:26.781 --> 00:04:29.453 making for some gratuitous, beautiful 00:04:29.453 --> 00:04:30.761 slow-mo shots. 00:04:42.634 --> 00:04:44.378 And so while this looks very cool, 00:04:44.378 --> 00:04:46.052 obviously dropping from that height 00:04:46.052 --> 00:04:47.107 wouldn't be effective. 00:04:47.107 --> 00:04:48.776 So we lower the whole platform down 00:04:48.776 --> 00:04:49.960 on this ball screw. 00:04:49.960 --> 00:04:51.544 Then set them right on the floor, 00:04:51.544 --> 00:04:53.593 which turned out to be incredibly reliable 00:04:53.593 --> 00:04:55.898 So Dom took the W in round one. 00:04:55.898 --> 00:04:58.070 But now it's time for the endurance round. 00:04:58.070 --> 00:05:01.199 Ok, first one to 10,000 dominos wins. 00:05:01.199 --> 00:05:02.825 Lily, you ready? 00:05:02.825 --> 00:05:03.832 I'm ready. 00:05:03.832 --> 00:05:05.381 Dominator, you ready? 00:05:07.322 --> 00:05:08.167 Start 00:05:12.645 --> 00:05:13.779 Oh my god 00:05:13.779 --> 00:05:14.682 Wow 00:05:14.682 --> 00:05:16.108 I aready failed. 00:05:16.108 --> 00:05:17.175 That's great. 00:05:23.648 --> 00:05:24.669 And to Lily's credit, 00:05:24.669 --> 00:05:26.545 she was actually insanely fast. 00:05:26.545 --> 00:05:30.673 Just not, you know, robot fast. 00:05:30.673 --> 00:05:31.856 So unfair, 00:05:31.856 --> 00:05:33.426 so unfair. 00:05:33.426 --> 00:05:35.344 On top of that she had to handle a very 00:05:35.344 --> 00:05:37.688 large distraction with emotional maturity 00:05:37.688 --> 00:05:39.174 of a 9 year old. 00:05:40.380 --> 00:05:42.637 Yep, I think I'm doing pretty good. 00:05:46.859 --> 00:05:48.635 You're doing very good for a human 00:05:48.635 --> 00:05:49.686 I'll give you that. 00:05:50.901 --> 00:05:51.639 Oh no 00:05:51.639 --> 00:05:53.379 Woah 00:05:57.421 --> 00:05:59.839 No what, no what Lily? 00:05:59.839 --> 00:06:01.288 Get out, Get out 00:06:01.656 --> 00:06:04.633 Aaaaaahhh 00:06:04.633 --> 00:06:06.452 That feels so much faster than 00:06:06.452 --> 00:06:07.649 it probably looks. 00:06:07.649 --> 00:06:08.741 How's Lily doing? 00:06:08.741 --> 00:06:09.685 Tired. 00:06:09.685 --> 00:06:11.557 And so while Lily's output slowed down 00:06:11.557 --> 00:06:12.408 considerably, 00:06:12.408 --> 00:06:13.619 Dom's did not. 00:06:13.619 --> 00:06:15.622 And I should mention we sometimes call him 00:06:15.622 --> 00:06:17.213 Dom but that's just short for his 00:06:17.213 --> 00:06:18.158 legal birth name, 00:06:18.158 --> 00:06:19.287 which as noted before, 00:06:19.287 --> 00:06:20.465 is Dominator. 00:06:20.465 --> 00:06:21.406 Cause you know like 00:06:21.406 --> 00:06:22.301 domino 00:06:22.301 --> 00:06:23.373 Dominator 00:06:23.373 --> 00:06:24.818 whatever, it all works. 00:06:24.818 --> 00:06:26.683 I'm gonna head to the bathroom. 00:06:26.683 --> 00:06:30.203 Oh, Lily has to go to the bathroom. 00:06:30.203 --> 00:06:31.363 I'm human, right? 00:06:31.363 --> 00:06:33.595 Dominator do you have to go 00:06:33.595 --> 00:06:34.818 to the bathroom? 00:06:34.818 --> 00:06:36.067 Didn't think so. 00:06:39.841 --> 00:06:42.397 9,000 perfectly laid dominos in a little 00:06:42.397 --> 00:06:43.494 over two hours. 00:06:43.494 --> 00:06:45.494 Actually 9,000 and 1, 00:06:45.494 --> 00:06:47.963 we got a bonus domino out there in 00:06:47.963 --> 00:06:49.359 the middle of this field. 00:06:49.359 --> 00:06:51.122 May or may not have been on purpose, 00:06:51.122 --> 00:06:53.532 but now we can say that it's over 9,000. 00:06:53.532 --> 00:06:54.908 It was a pretty clear result 00:06:54.908 --> 00:06:56.495 and Lily, of course, was gracious 00:06:56.495 --> 00:06:58.496 in her defeat to the machine overlords. 00:06:58.496 --> 00:07:00.340 So all that was left to do now, 00:07:00.340 --> 00:07:01.760 was to knock em down. 00:07:06.170 --> 00:07:08.206 Yes! That was satisfying. 00:07:08.496 --> 00:07:09.838 So we went head to head with 00:07:09.838 --> 00:07:11.515 the world's foremost domino expert 00:07:11.515 --> 00:07:12.636 and came out on top. 00:07:12.636 --> 00:07:14.605 And now it's time for the real challenge. 00:07:14.605 --> 00:07:16.292 To attempt a Guinness World Record, 00:07:16.292 --> 00:07:17.992 and see how quickly we can fill 00:07:17.992 --> 00:07:20.339 this entire room with a mural, 00:07:20.339 --> 00:07:22.143 of over 100,000 dominos. 00:07:22.143 --> 00:07:23.187 Alright buddy, 00:07:23.187 --> 00:07:24.299 you got the game plan, 00:07:24.299 --> 00:07:25.886 now you just got to get out there 00:07:25.886 --> 00:07:26.640 and execute. 00:07:28.074 --> 00:07:30.193 Godspeed little fella, Godspeed. 00:07:36.715 --> 00:07:41.314 300 dominos down, 102,000 left to go. 00:08:04.680 --> 00:08:06.353 So we're about six hours in 00:08:06.353 --> 00:08:07.677 but more importantly, 00:08:07.677 --> 00:08:10.135 We just got our first Goomba. 00:08:10.135 --> 00:08:11.439 It's beautiful. 00:08:11.439 --> 00:08:13.605 Back to work Dom. 00:08:15.179 --> 00:08:16.576 And the best part of working 00:08:16.576 --> 00:08:17.917 really hard for a few years, 00:08:17.917 --> 00:08:19.499 is that the last 24 hours 00:08:19.499 --> 00:08:20.821 are super relaxing. 00:08:23.959 --> 00:08:25.876 And with that tile placed, 00:08:25.876 --> 00:08:28.306 we are officially half way done. 00:08:28.306 --> 00:08:31.048 With over 50,000 dominos put down, 00:08:31.048 --> 00:08:33.240 and just a little over 12 hours. 00:08:33.240 --> 00:08:35.867 And Dom, woah easy boy, 00:08:35.867 --> 00:08:38.684 just showing no signs of slowing down. 00:08:38.684 --> 00:08:39.826 So this is a good point 00:08:39.826 --> 00:08:41.861 to explain the rest of the robotics system 00:08:41.861 --> 00:08:43.180 It all starts over here 00:08:43.180 --> 00:08:44.602 with the loading station that 00:08:44.602 --> 00:08:46.030 Josh and John Luke spent a lot 00:08:46.030 --> 00:08:46.954 of time optimizing. 00:08:46.954 --> 00:08:48.441 The dominos are loaded by color 00:08:48.441 --> 00:08:49.554 on these conveyer belts 00:08:49.554 --> 00:08:50.883 and then a Kuka robot arm 00:08:50.883 --> 00:08:52.683 grabs them and places them in one of 00:08:52.683 --> 00:08:55.376 300 loading shoots made from 2.7 miles 00:08:55.376 --> 00:08:56.730 worth of Hot Wheels tracks. 00:08:56.730 --> 00:08:58.204 And you could load Dom directly 00:08:58.204 --> 00:08:59.216 with the robot arm, 00:08:59.216 --> 00:09:01.223 but this is much faster because he doesn't 00:09:01.223 --> 00:09:01.938 have to wait, 00:09:01.938 --> 00:09:03.284 he just comes in here to the 00:09:03.284 --> 00:09:04.718 docking station and the lower 00:09:04.718 --> 00:09:06.346 platform slides over so the bottem 00:09:06.346 --> 00:09:08.043 layer of 300 dominos gets loaded up 00:09:08.043 --> 00:09:08.786 all at once. 00:09:08.786 --> 00:09:10.710 And we also had a back up loading system 00:09:10.710 --> 00:09:12.471 using a tray just incase at any point 00:09:12.471 --> 00:09:13.856 the robot arm wasn't working. 00:09:13.856 --> 00:09:15.322 Besides the Hot Wheels tracks, 00:09:15.322 --> 00:09:16.917 there's a ton of 3D printed parts 00:09:16.917 --> 00:09:18.614 throughout the build that we either 00:09:18.614 --> 00:09:20.286 printed ourselves or, if we were in 00:09:20.286 --> 00:09:22.054 a pinch, my friends at MatterHackers 00:09:22.054 --> 00:09:22.791 helped us out. 00:09:22.791 --> 00:09:23.806 So that's the loader, 00:09:23.806 --> 00:09:25.528 now how about the Dominator himself? 00:09:25.528 --> 00:09:27.391 How does Dom know exactly where to go 00:09:27.391 --> 00:09:28.867 in the room to drop a domino? 00:09:28.867 --> 00:09:30.589 So we preprogramed the route for 00:09:30.589 --> 00:09:32.267 all 102,000 dominos. 00:09:32.267 --> 00:09:34.099 So the robot knows exactly where to go 00:09:34.099 --> 00:09:35.112 right from the start. 00:09:35.112 --> 00:09:36.494 Then as we're driving around, 00:09:36.494 --> 00:09:38.022 we use these indoor GPS sensors 00:09:38.022 --> 00:09:39.643 to track the position of the robot 00:09:39.643 --> 00:09:41.149 so it knows roughly where it is 00:09:41.149 --> 00:09:42.817 and then as we get closer the place 00:09:42.817 --> 00:09:44.299 where the dominos need to drop, 00:09:44.299 --> 00:09:45.846 we use these IR cameras that are 00:09:45.846 --> 00:09:47.296 tracking markers on the ground to make 00:09:47.296 --> 00:09:48.337 sure the robot lines up perfectly 00:09:48.337 --> 00:09:49.357 every single time. 00:09:49.357 --> 00:09:50.607 So the vision from the beginning was that 00:09:50.607 --> 00:09:51.603 we could set Dom up 00:09:51.603 --> 00:09:53.063 we could turn off the lights and leave, 00:09:53.063 --> 00:09:54.279 and come back the next morning 00:09:54.279 --> 00:09:55.654 and you've got like a full field 00:09:55.654 --> 00:09:56.535 of dominos set up. 00:09:56.535 --> 00:09:57.481 He could work all night in the dark 00:09:57.481 --> 00:09:58.227 just fine. 00:09:58.227 --> 00:09:59.120 Alright now how bout these 00:09:59.120 --> 00:10:00.123 super cool wheels? 00:10:00.123 --> 00:10:01.585 So these are called omni-wheels 00:10:01.585 --> 00:10:03.025 and they're awesome because they let you 00:10:03.025 --> 00:10:04.369 translate it any direction you want. 00:10:04.369 --> 00:10:06.396 So this is way better than like your car 00:10:06.396 --> 00:10:08.198 where if you need to move a little bit 00:10:08.198 --> 00:10:09.037 to the left or right, 00:10:09.037 --> 00:10:10.812 you have to make like a five point turn. 00:10:10.812 --> 00:10:12.173 So with these guys you can move any 00:10:12.173 --> 00:10:13.691 direction you want to adjust for small 00:10:13.691 --> 00:10:14.907 corrections in the placement 00:10:14.907 --> 00:10:15.497 of the dominos. 00:10:15.497 --> 00:10:16.927 These wheels are powered by these 00:10:16.927 --> 00:10:18.719 clear path, brushless DC server motors. 00:10:18.719 --> 00:10:20.332 These are like the gold standard in terms 00:10:20.332 --> 00:10:21.497 of speed and accuracy. 00:10:21.497 --> 00:10:22.790 And they allow us to slide the robot 00:10:22.790 --> 00:10:24.274 around by even just a couple millimeters 00:10:24.274 --> 00:10:24.885 a time, 00:10:24.885 --> 00:10:26.503 which is super useful when we're trying 00:10:26.503 --> 00:10:27.566 to make real fine adjustments for placing 00:10:27.566 --> 00:10:28.495 the dominos down. 00:10:28.495 --> 00:10:30.677 Now obviously that's just the uppermost 00:10:30.677 --> 00:10:32.407 tip of the iceberg tip. 00:10:32.407 --> 00:10:35.072 But Dom's brain is over 14,000 lines 00:10:35.072 --> 00:10:36.400 of code all from scratch. 00:10:36.400 --> 00:10:37.726 So if you want to go way deeper into 00:10:37.726 --> 00:10:38.830 the technical details I'll 00:10:38.830 --> 00:10:40.283 put a link in the video's description, 00:10:40.283 --> 00:10:41.621 where I'll just put it all in one spot. 00:10:41.621 --> 00:10:43.501 Now back to finishing the second half. 00:11:14.332 --> 00:11:16.229 So the Dominator has been running 00:11:16.229 --> 00:11:17.924 just under 24 hours. 00:11:17.924 --> 00:11:20.605 And this is a bit of a momentous tile here 00:11:24.265 --> 00:11:26.187 It's a me Mario. 00:11:31.893 --> 00:11:36.135 102,300 dominos are on the floor 00:11:36.135 --> 00:11:37.023 succesfully. 00:11:37.023 --> 00:11:39.200 This is the last 300. 00:11:39.200 --> 00:11:41.399 I think this is a moment. 00:11:41.399 --> 00:11:43.238 You guys get back over here. 00:11:43.238 --> 00:11:46.173 Josh and Alex, let's observe it. 00:11:46.173 --> 00:11:48.658 Don't blow this Dom, you got it buddy 00:11:48.658 --> 00:11:49.712 finish strong. 00:12:00.287 --> 00:12:01.282 We got it. 00:12:01.282 --> 00:12:03.780 Just over 24 hours, 00:12:03.780 --> 00:12:05.564 to lay all the dominos. 00:12:05.564 --> 00:12:06.833 Gentlemen 00:12:08.447 --> 00:12:10.840 It feels really fulfilling as an engineer 00:12:10.840 --> 00:12:12.872 to see the design prosses yield results 00:12:12.872 --> 00:12:13.542 like this. 00:12:13.542 --> 00:12:15.025 And speaking of the engineering 00:12:15.025 --> 00:12:16.051 design prosses, 00:12:16.051 --> 00:12:18.175 my month long creative engineering course 00:12:18.175 --> 00:12:19.709 where I teach this process, 00:12:19.709 --> 00:12:21.472 and where you watch me make three builds 00:12:21.472 --> 00:12:22.601 from scratch, and you make 00:12:22.601 --> 00:12:24.137 three creative builds of your own. 00:12:24.137 --> 00:12:26.123 Is once again open for enrollment for 00:12:26.123 --> 00:12:28.228 a bonus Summer session right now. 00:12:28.228 --> 00:12:29.168 So go to 00:12:29.168 --> 00:12:29.904 monthly.com/markrober 00:12:29.904 --> 00:12:31.911 or use the link in the video description. 00:12:31.911 --> 00:12:33.287 And I'll see you in class. 00:12:33.287 --> 00:12:34.736 So now with everything set up, 00:12:34.736 --> 00:12:37.039 the final step was to knock em down. 00:12:37.039 --> 00:12:38.549 You can see John loading in the Mario 00:12:38.549 --> 00:12:40.032 pipes because they were going to be our 00:12:40.032 --> 00:12:40.895 trigger mechanism. 00:12:40.895 --> 00:12:42.431 The way that works is we've got four 00:12:42.431 --> 00:12:43.974 Hot Wheels cars glued to the bottom of 00:12:43.974 --> 00:12:45.846 this platform that rides in these 00:12:45.846 --> 00:12:47.665 parallel Hot Wheels tracks. 00:12:47.665 --> 00:12:49.844 Then you slap a green sliding shell on top, 00:12:49.844 --> 00:12:51.065 and a motor at the end 00:12:51.065 --> 00:12:52.635 pulls the cart along the tracks with 00:12:52.635 --> 00:12:53.113 a string. 00:12:53.113 --> 00:12:54.850 Then the shell contacts the lever arm 00:12:54.850 --> 00:12:56.238 at each pipe like this, 00:12:56.238 --> 00:12:57.723 which causes them to roll forward 00:12:57.723 --> 00:13:00.007 down the ramp hopefully into the dominos. 00:13:00.007 --> 00:13:01.260 Ok now I'm nervous. 00:13:02.388 --> 00:13:05.008 I wasn't nervous, now I'm nervous. 00:13:05.008 --> 00:13:05.872 OK 00:13:05.872 --> 00:13:06.827 3 00:13:06.827 --> 00:13:07.696 2 00:13:07.696 --> 00:13:08.742 1 00:13:08.742 --> 00:13:09.655 Go 00:13:14.695 --> 00:13:15.791 Yes! Two! 00:13:16.922 --> 00:13:17.977 Three! 00:13:19.491 --> 00:13:20.686 Four! 00:13:21.373 --> 00:13:22.341 Five! 00:13:28.591 --> 00:13:30.389 Oh my gosh 00:13:42.357 --> 00:13:45.271 Got em wooo! 00:13:45.271 --> 00:13:46.308 Yes! 00:13:46.308 --> 00:13:47.619 Awesome! 00:13:49.192 --> 00:13:50.480 Holy cow! 00:13:51.141 --> 00:13:53.539 Wooooaaah! 00:13:54.063 --> 00:13:55.659 Oh my gosh 00:13:56.938 --> 00:13:59.173 And in the end Dom was 50 times faster 00:13:59.173 --> 00:14:00.748 than the skilled domino builder 00:14:00.748 --> 00:14:02.179 and he got himself a world record 00:14:02.179 --> 00:14:02.985 to show for it. 00:14:02.985 --> 00:14:04.706 Although to be fair to us organisms, 00:14:04.706 --> 00:14:06.517 It was in the non-human category. 00:14:06.517 --> 00:14:08.420 And at that point after five years, 00:14:08.420 --> 00:14:09.845 we were just so relieved to be done, 00:14:09.845 --> 00:14:11.262 we got a little carried away carried away 00:14:11.262 --> 00:14:12.673 celebrating the champ with 00:14:12.673 --> 00:14:14.071 an appropriate sendoff. 00:14:22.934 --> 00:14:24.814 Six year old me would be so stoked 00:14:24.814 --> 00:14:26.590 to know that I would eventually build 00:14:26.590 --> 00:14:28.555 a robot that could set up all the dominos 00:14:28.555 --> 00:14:29.281 for me. 00:14:29.281 --> 00:14:31.170 So if you want the same feeling of making 00:14:31.170 --> 00:14:33.147 things with your hands to do cool things, 00:14:33.147 --> 00:14:35.020 but you don't want to wait 35 years. 00:14:35.020 --> 00:14:36.884 Then my friends at KiwiCo have got 00:14:36.884 --> 00:14:37.842 the answer. 00:14:37.842 --> 00:14:40.637 In fact, this is an actual mini version 00:14:40.637 --> 00:14:43.047 of the Dom I designed together with them 00:14:43.047 --> 00:14:44.455 just for this video. 00:14:44.455 --> 00:14:47.570 I mean how awesome and adorable is that. 00:14:47.570 --> 00:14:48.953 He's like the protégé. 00:14:48.953 --> 00:14:50.287 The Dom Jr. 00:14:50.287 --> 00:14:52.038 They got an incredible team of designers 00:14:52.038 --> 00:14:54.037 that work on each project and honestly 00:14:54.037 --> 00:14:55.649 if I wasn't making YouTube videos 00:14:55.649 --> 00:14:57.427 I think I would apply to be on their team. 00:14:57.427 --> 00:14:59.512 Then all the concepts are contested 00:14:59.512 --> 00:15:01.271 and then its delivered right to your door 00:15:01.271 --> 00:15:01.995 every month, 00:15:01.995 --> 00:15:03.669 so you can foster your creativity 00:15:03.669 --> 00:15:05.452 and make your abilities in a fun 00:15:05.452 --> 00:15:06.223 and natural way. 00:15:06.223 --> 00:15:08.135 So for example this domino machine box, 00:15:08.135 --> 00:15:09.499 inside you've got all the supplies 00:15:09.499 --> 00:15:10.646 you need to put it together. 00:15:10.646 --> 00:15:12.275 You've got simple instructions. 00:15:12.275 --> 00:15:13.719 And then a booklet with more info 00:15:13.719 --> 00:15:16.032 like a Q and A with someone you might know. 00:15:16.032 --> 00:15:17.782 And this is the tinker crate line 00:15:17.782 --> 00:15:19.256 But they've got eight different 00:15:19.256 --> 00:15:21.066 subscription lines each catering to 00:15:21.066 --> 00:15:22.648 a different age group and topic. 00:15:22.648 --> 00:15:23.958 So if you want to support my channel 00:15:23.958 --> 00:15:25.376 and feed your brain while having 00:15:25.376 --> 00:15:26.448 fun at the same time, 00:15:26.448 --> 00:15:29.553 go to kiwico.com/roberdomino 00:15:29.553 --> 00:15:31.571 or use the link in the video description 00:15:31.571 --> 00:15:32.831 to get an excusive offer. 00:15:32.831 --> 00:15:34.521 so thanks to KiwiCo for being so great 00:15:34.521 --> 00:15:35.870 to work with, thanks to Dom 00:15:35.870 --> 00:15:38.549 and Dom Jr. for just dominating, 00:15:38.549 --> 00:15:40.977 and of course thanks to you for watching. 00:15:41.320 --> 00:15:42.369 What do we do now? 00:15:42.369 --> 00:15:43.944 We're about to clean it up. 00:15:43.944 --> 00:15:48.219 Oh there we go, a cleanup robot.