0:00:00.929,0:00:05.929 As a roboticist,[br]I get asked a lot of questions. 0:00:05.929,0:00:08.909 "When we will they start[br]serving me breakfast?" 0:00:08.909,0:00:14.066 So I thought the future of robotics[br]would be looking more like us. 0:00:14.066,0:00:18.139 I thought they would look like me, 0:00:18.139,0:00:22.214 so that I built eyes[br]that would simulate my eyes, 0:00:22.214,0:00:28.882 I built fingers that are dextrous enough[br]to serve me baseballs. 0:00:32.075,0:00:34.968 Classical robots like this are built 0:00:34.968,0:00:40.979 and can function based on[br]the fixed number of joints and actuators, 0:00:40.979,0:00:44.157 and this means their[br]functionality and shape 0:00:44.157,0:00:47.376 are already fixed at the moment[br]of their conception. 0:00:47.697,0:00:50.587 So even though this arm[br]has really nice throw, 0:00:50.587,0:00:53.614 to even hit the tripod at the end, 0:00:54.182,0:00:57.646 it's not meant for cooking you[br]breakfast per se. 0:00:57.646,0:01:01.075 It's not really suited for scrambled eggs. 0:01:01.075,0:01:06.307 So this was when I was hit[br]by a new vision of future robotics: 0:01:06.307,0:01:09.355 the transformers. 0:01:09.355,0:01:11.720 They drive, they run, they fly, 0:01:11.720,0:01:17.435 all depending on the ever-changing[br]new environment and task at hand. 0:01:17.601,0:01:19.405 To make this a reality, 0:01:19.405,0:01:23.822 you really have to rethink[br]how robots are designed. 0:01:23.822,0:01:27.637 So imagine a robotic module[br]in a polygon shape 0:01:27.637,0:01:29.679 and using that simple polygon shape[br]to reconstruct multiple different forms 0:01:29.679,0:01:33.174 to create a new form of robot[br]for different tasks. 0:01:33.174,0:01:41.348 In CG, computer graphics,[br]it's not only news, 0:01:41.348,0:01:44.864 it's been done for a while, and that's how[br]most of the movies are made. 0:01:44.864,0:01:48.757 But if you're trying to make a robot[br]that's physically moving, 0:01:48.757,0:01:50.647 it's a completely new story. 0:01:50.898,0:01:54.118 It's a completely new paradigm. 0:01:54.118,0:01:57.071 But you've all done this. 0:01:57.071,0:02:01.569 Who hasn't made a paper airplane,[br]paper boat, paper crane. 0:02:01.569,0:02:07.937 Origami is a versatile[br]platform for designers. 0:02:07.937,0:02:12.142 From a single sheet of paper,[br]you can make multiple shapes, 0:02:12.142,0:02:16.114 and if you don't like it,[br]you unfold and fold back again. 0:02:16.114,0:02:22.194 Any 3D form can be made[br]from 2D surfaces by folding, 0:02:22.194,0:02:25.005 and this is proven mathematically. 0:02:26.762,0:02:31.027 And imagine if you were to have[br]an intelligent sheet 0:02:31.027,0:02:34.793 that can self-fold into any form it wants 0:02:34.793,0:02:36.323 anytime. 0:02:37.386,0:02:38.977 And that's what I've been working on, 0:02:38.977,0:02:41.926 and I call this robotic origami 0:02:41.926,0:02:43.909 "robogami." 0:02:45.617,0:02:49.019 This is our first robogami transformation 0:02:49.019,0:02:52.351 that was made by me about 10 years ago. 0:02:52.351,0:02:54.055 From a flat-sheeted robot, 0:02:54.055,0:02:57.200 it turns into a pyramid[br]and back into a flat sheet 0:02:57.200,0:03:00.392 and into a space shuttle. 0:03:00.614,0:03:02.726 Quite cute. 0:03:02.980,0:03:09.029 Ten years later, with my group[br]of ninja origami robotic researchers, 0:03:09.029,0:03:12.626 and there about 22 of them right now, 0:03:12.626,0:03:15.770 we have a new generation of robogamis, 0:03:16.057,0:03:19.368 and they're a little more effective[br]and we do more than that. 0:03:20.320,0:03:23.756 So the new generation of robogamis[br]actually serve a purpose. 0:03:23.756,0:03:28.826 For example, this one actually navigates[br]through different terrains autonomously. 0:03:28.826,0:03:31.143 So when it's a dry[br]and flat land, it crawls. 0:03:31.143,0:03:37.511 And if it meets some rough terrain,[br]it starts rolling. 0:03:38.201,0:03:40.573 It does this, it's the same robot, 0:03:40.573,0:03:43.619 but depending on which terrain it meets, 0:03:43.619,0:03:49.621 it activates a different sequence[br]of actuators that's on board. 0:03:50.706,0:03:54.434 And once it meets and obstacle,[br]it jumps over it. 0:03:54.434,0:03:58.748 It does this by storing energy[br]in each of its legs 0:03:58.748,0:04:03.003 and releasing it and catapulting[br]like a slingshot. 0:04:03.003,0:04:05.752 And it even does gymastics. 0:04:05.752,0:04:07.041 Yay. 0:04:08.753,0:04:13.222 So I just showed you[br]what a single robogami can do. 0:04:13.222,0:04:15.793 Imagine what they can do as a group. 0:04:15.793,0:04:20.047 They can join forces to tackle[br]more complex tasks. 0:04:20.047,0:04:23.186 Each module either active or passive, 0:04:23.186,0:04:26.476 we can assemble them[br]to create different shapes. 0:04:26.476,0:04:30.643 Not only that, by controlling[br]the folding joints, we are able 0:04:30.643,0:04:34.189 to create and attack different tasks. 0:04:34.189,0:04:37.156 The form is making new task space. 0:04:37.880,0:04:42.247 And this time, what is most[br]important is the assembly. 0:04:42.438,0:04:46.559 They need to autonomously[br]find each other in a different space, 0:04:46.559,0:04:50.712 attach and detach depending on[br]the environment and task. 0:04:51.950,0:04:55.174 And we can do this now. 0:04:55.174,0:04:56.624 So what's next? 0:04:56.624,0:04:57.958 Our imagination. 0:04:57.958,0:05:01.889 So this is a simulation of what[br]you can achieve with this type of module. 0:05:01.889,0:05:05.413 So we decided that we were going[br]to have a four-legged crawler 0:05:05.413,0:05:10.471 turning into a little dog[br]and making small gaits. 0:05:10.471,0:05:14.210 With the same module, we can actually[br]make it do something else: 0:05:14.210,0:05:17.452 a manipulator, a typical[br]classic robot task. 0:05:17.651,0:05:20.320 So with a manipulator,[br]it can pick an object. 0:05:20.320,0:05:24.164 Of course, you can add more modules[br]to make the manipulator legs longer, 0:05:24.164,0:05:27.133 to attack or pick up[br]objects that are bigger or smaller, 0:05:27.133,0:05:30.065 or even have a third arm. 0:05:31.752,0:05:35.312 For robogamis, there's no[br]one fix shape nor task. 0:05:35.312,0:05:40.492 They can transform into anything[br]anywhere anytime. 0:05:42.615,0:05:45.188 So how do you make them? 0:05:45.188,0:05:50.576 The biggest technical challenge[br]of robogami is keeping them super-thin, 0:05:50.576,0:05:53.585 flexible, but still remaining functional. 0:05:54.737,0:05:58.517 They're composed of multiple layers[br]of circuits, motors, 0:05:58.517,0:06:01.532 micro-controllers and sensors,[br]all in the single body, 0:06:01.532,0:06:06.323 and when you control[br]individual folding joints, 0:06:06.323,0:06:09.887 you'll be able to achieve[br]soft motions like that 0:06:10.043,0:06:12.158 upon your command. 0:06:14.347,0:06:19.056 Instead of being a single robot that is[br]specifically made for a single task, 0:06:19.056,0:06:23.620 robogamis are optimized[br]to do multi-tasks, 0:06:23.620,0:06:26.669 and this is quite important 0:06:26.669,0:06:29.351 for the difficult and unique[br]environments on the Earth 0:06:29.351,0:06:32.883 as well as in space. 0:06:33.782,0:06:37.745 Space is a perfect[br]environment for robogamis. 0:06:37.745,0:06:42.369 You cannot afford to have[br]one robot for one task. 0:06:43.347,0:06:47.045 Who knows how many tasks[br]you will encounter in space? 0:06:47.045,0:06:54.175 What you want is a single robotic platform[br]that can transform to do multi-tasks. 0:06:55.371,0:07:00.599 What we want is a deck[br]of thin robogami modules 0:07:00.599,0:07:06.017 that can transform to do multiples[br]of performing tasks. 0:07:06.552,0:07:10.418 So here, and don't take my word for it, 0:07:10.418,0:07:13.418 because it's the European Space Agency[br]and Swiss Space Center 0:07:13.418,0:07:15.821 are sponsoring this exact concept. 0:07:16.007,0:07:20.766 So here you see a couple of images[br]of reconfiguration of robogamis, 0:07:20.766,0:07:24.634 exploring the foreign land[br]aboverground, on the surface, 0:07:24.634,0:07:27.281 as well as digging into the surface. 0:07:27.483,0:07:29.478 It's not just exploration. 0:07:29.478,0:07:32.089 For astronauts, they need additional help, 0:07:32.089,0:07:35.077 because you cannot afford[br]to bring interns up there either. 0:07:36.589,0:07:39.589 They have to do every tedious task. 0:07:39.589,0:07:43.048 It may be simple, but super-interactive. 0:07:43.048,0:07:46.483 So you need robots[br]to facilitate their experiments, 0:07:46.483,0:07:49.196 assisting them with the communications, 0:07:49.196,0:07:54.749 and just docking onto surfaces to be[br]their third arm holding different tools. 0:07:55.006,0:07:59.588 But how will they be able[br]to control robogamis, for example, 0:07:59.588,0:08:00.698 outside the space station? 0:08:00.698,0:08:04.224 In this case, I show a robogami[br]that is holding a space debris. 0:08:04.224,0:08:07.779 You can work with your vision[br]so that you can control them, 0:08:07.779,0:08:12.382 but what would be better[br]is having the sensation of touch 0:08:12.382,0:08:16.392 directly transported onto[br]the hands of the astronauts. 0:08:16.392,0:08:19.152 And what you need is a haptic device, 0:08:19.152,0:08:22.860 a haptic interface that recreates[br]the sensation of touch. 0:08:23.234,0:08:26.267 And using robogamis, we can do this. 0:08:27.515,0:08:32.546 This is the world's[br]smallest haptic interface 0:08:32.546,0:08:38.391 that can recreate a sensation of touch[br]just underneath your fingertip. 0:08:38.391,0:08:41.115 We do this by moving the robogami 0:08:41.115,0:08:44.200 By microscopic and macroscopic[br]movements at the stage, 0:08:44.200,0:08:49.951 and by having this, not only[br]will you be able to feel 0:08:49.951,0:08:51.795 how big the object is, 0:08:51.795,0:08:54.465 the roundness and the lines, 0:08:54.465,0:08:56.987 but also the stiffness and the texture. 0:08:56.987,0:09:03.293 Alex has this interface[br]just underneath his thumb, 0:09:03.293,0:09:08.043 and if he were to use this[br]with a VR goggles and hand controllers, 0:09:08.043,0:09:11.590 now the virtual reality[br]is no longer virtual. 0:09:11.812,0:09:14.369 It becomes a tangible reality. 0:09:16.704,0:09:20.877 The blue ball, red ball,[br]and black ball that he's looking 0:09:20.877,0:09:23.175 is no longer differentiated by colors. 0:09:23.175,0:09:27.714 Now it is a rubber blue ball,[br]sponge red ball, and billiard black ball. 0:09:28.944,0:09:31.044 This is now possible. 0:09:31.581,0:09:33.339 Let me show you. 0:09:34.381,0:09:38.294 This is really the first time[br]this is shown live 0:09:38.294,0:09:42.317 in front of a public grand audience, 0:09:42.317,0:09:44.169 so hopefully this works. 0:09:44.169,0:09:48.343 So what you see here[br]is an atlas of anatomy, 0:09:48.343,0:09:51.033 and the robogami haptic interface. 0:09:51.033,0:09:54.032 So, like all the other[br]reconfigurable robots, 0:09:54.032,0:09:54.999 it multitasks. 0:09:54.999,0:09:57.305 Not only is it going to serve as a mouse, 0:09:57.305,0:09:59.540 but also a haptic interface. 0:09:59.540,0:10:05.336 So for example, we have a white background[br]where there is no object. 0:10:05.336,0:10:06.632 That means there is nothing to feel, 0:10:06.632,0:10:08.828 so we can have a very,[br]very flexible interface. 0:10:09.622,0:10:12.797 Now I use this as a mouse[br]to approach a skin, 0:10:12.797,0:10:16.343 a muscular arm,[br]so now let's feel his biceps, 0:10:16.343,0:10:17.672 or shoulders. 0:10:17.854,0:10:20.672 So now you see how stiffer it becomes. 0:10:20.672,0:10:22.066 Let's explore even more. 0:10:22.066,0:10:24.730 Let's approach the ribcage, 0:10:24.730,0:10:27.531 and as soon as I move[br]on top of the ribcage 0:10:27.531,0:10:29.741 and between the ?? muscles, 0:10:29.741,0:10:33.711 which is softer and harder, I can feel[br]the difference of the stiffness. 0:10:33.711,0:10:34.998 Take my word for it. 0:10:34.998,0:10:38.725 So now you see it's much stiffer[br]in terms of the force 0:10:39.233,0:10:41.559 it's giving back to my fingertip. 0:10:41.997,0:10:45.968 So I showed you the surfaces[br]that's not moving. 0:10:45.968,0:10:49.401 How about if I were to approach[br]something that moves, 0:10:49.401,0:10:51.911 for example like a beating heart? 0:10:51.911,0:10:53.666 What would I feel? 0:10:59.573,0:11:02.957 (Applause) 0:11:07.381,0:11:10.217 This can be your beating heart. 0:11:10.217,0:11:13.748 This can actually be inside your pocket 0:11:13.748,0:11:16.504 while you're shopping online. 0:11:16.504,0:11:20.316 Now you'll be able to feel the difference[br]of the sweater that you're buying, 0:11:20.316,0:11:21.647 how soft it is, 0:11:21.647,0:11:24.181 if it's actually cashmere or not, 0:11:24.181,0:11:26.550 or the bagel that you're trying to buy, 0:11:26.550,0:11:28.162 how hard it is or how crispy it is. 0:11:28.162,0:11:32.106 This is now possible. 0:11:34.996,0:11:39.802 The robotics technology is advancing[br]to be more personalized and adaptive, 0:11:39.802,0:11:44.516 to adapt to our everyday needs. 0:11:44.728,0:11:48.499 This unique specie[br]of reconfigurable robotics 0:11:48.499,0:11:54.276 is actually the platform to provide[br]this invisible, intuitive interface 0:11:54.276,0:11:57.277 to meet our exact needs. 0:11:58.455,0:12:03.129 These robots will no longer look like[br]the characters from the movies. 0:12:03.129,0:12:07.150 Instead, they will be whatever[br]you want them to be. 0:12:07.493,0:12:09.398 Thank you. 0:12:09.398,0:12:12.996 (Applause)