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Vytas SunSpiral - Nasa Robot Man

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NASA Intelligent Robotics Researcher

“The only reason to have a brain is to control motion.”

In short: Dr Vytas SunSpiral is a robotics engineer at NASA’s Ames Research Center who designs robots by studying how humans and animals move. Brian Rose filmed his lecture at EPFL in Lausanne in 2012 and then talked to him about tensegrity, fascia, martial arts and building robots for space.

Brian travelled to Lausanne, Switzerland, to attend a lecture by Vytas at the Swiss Federal Institute of Technology, EPFL. The clip opens with extracts from the talk, in which Vytas argues that if we want to understand how we think, feel and use intelligence, we should start by understanding how we move.

He explains that the body is better described as a tension network built from fascia and soft tissue than as a stack of bones carrying weight, which is why ideas from tensegrity structures help him design lightweight, resilient robots. Examples such as animals that stay coordinated without a brain, and cats with a severed brain stem that still change gait on a treadmill, show how much movement is handled below the level of conscious control.

In the interview that follows, Vytas talks about NASA projects, energy-efficient robots for space, how martial arts and yoga feed into his research, and how he and his wife came to choose the surname SunSpiral.

Key takeaways

  • The brain is a controller for motion. Vytas says the first job of neurons in evolution was to control muscles using information from sensors, and later intelligence reuses those tricks.
  • Our bodies work as tension networks. The skeleton is not rigidly joined, he says, and muscles, bones and fascia form a network where force passes through tension rather than compressing the discs.
  • Animals constantly change their relationship to gravity. Handstands, rolls and slopes show that models assuming we are always upright are too limited.
  • Study ourselves, then build. Rather than only copying biology, Vytas builds robots to find out what is hard about walking, then looks back at human physiology for answers.
  • Light robots need little power. NASA robots must be lightweight and compact for launch, so tensegrity structures that can oscillate efficiently are of interest.
  • Personal practice informs research. Martial arts, yoga and dance give him insight into force, alignment and the chain of connection through the body.

Why movement comes first

Vytas starts from the claim that the brain evolved to control motion. If you can understand the basics of how animals move, he argues, you can find the building blocks that nature reuses all the way up to language, art and social behaviour.

He gives lecture examples of motion without central computation: a headless chicken still running in a coordinated way, and a cat on a treadmill moving from walk to trot to run with a severed brain stem. A robot built with central pattern generators shows a wide variety of behaviour from simple controls.

Fascia, tensegrity and a different model of the body

The lecture questions the standard picture of the spine as a pillar that carries load through vertebrae and discs. Vytas shows images from a Body Worlds exhibit in which fascia forms a large connected structure, and suggests that under normal conditions force should travel through the tension network instead of compressing discs.

Because we can do handstands, he adds, a model that assumes we are always upright cannot be complete. This is the basis for tensegrity robots, which are made of rods and cables and can be light, compact and strong.

Robots for NASA and for the real world

Asked by Brian whether his robots will go to Mars, Vytas explains he works on several projects, including free-flying robots on the International Space Station and planetary exploration systems. His tensegrity research is aimed at robots that can touch, manipulate and walk with very little power.

He stresses that he is working on fundamental science rather than a specific application. As robots move from factories into the natural world, he says, traditional approaches reach their limits and new ideas are needed.

Martial arts, yoga and a family name

Brian says he tried shadow boxing after the lecture and began to think about fascia and degrees of freedom. Vytas replies that we control motion with abstract images rather than individual muscles, and that changing the image can change the movement.

The clip ends with the story of his surname. He and his wife wanted a name that belonged to both of them equally, so they combined a sun symbol he used on his shield in medieval martial arts, linked to his half-Lithuanian heritage, with the spiral she loved in nature.

Who is Vytas SunSpiral?

Dr Vytas SunSpiral is a robotics engineer at NASA’s Ames Research Center in California. He uses human movement and motion to inform the design of robots intended for space exploration, including tensegrity robots and lightweight structures that can be compact for launch. His interests include martial arts, yoga and dance, and he has said he did a lot of medieval martial arts. Vytas and his wife chose the surname SunSpiral together when they married. This conversation took place in Lausanne, Switzerland, in 2012.

Frequently asked questions

What are tensegrity robots?

Tensegrity robots are built from rods and cables that hold each other in tension. Vytas SunSpiral studies them because they can be lightweight, compact and energy efficient.

What does Vytas SunSpiral say about the human body?

He says the body works as a tension network of fascia, muscle and bone rather than a rigid stack, so force should pass through tension and not compress the spinal discs.

Why does Vytas SunSpiral say we have a brain?

He argues the first purpose of a brain is to control motion, and that our higher thinking reuses the same basic control tricks.

How did Vytas SunSpiral get his surname?

He and his wife combined a sun symbol he used in medieval martial arts with a spiral she loved, to make a family name that belonged to both of them equally.

Where was this interview filmed?

Brian Rose filmed the lecture and interview at EPFL, the Swiss Federal Institute of Technology in Lausanne, in 2012.

Chapters

0:00 | Brian introduces the lecture at EPFL
1:36 | Why we have a brain: to control motion
4:21 | Fascia, the body as a tension network and the cat without a brain stem
6:40 | Interview: how human movement inspires robots
8:50 | Building machines versus studying ourselves
11:29 | NASA robots, tensegrity and energy efficiency
14:06 | Martial arts, yoga and learning how we move
16:32 | Posture, visualisation and the name SunSpiral

Downloads

Full transcript: Vytas SunSpiral on London Real

0:00 Brian Rose: This is London Real. I’m Brian Rose from London Real. I’m in beautiful Lausanne, Switzerland, to attend a lecture by Dr. Vytas SunSpiral. He’s a robotics engineer at NASA’s Ames Research Center. What he does is he likes to use human movement and human motion to teach him about robots that he designs to build and go into space and land on Mars.

0:35 So we’re going to go to the EPFL, which is the Eco-Polytechnic Federal d’Arson, which is the local technical university, and we’re going to go watch him now. So let’s go check him out.

0:56 Vytas SunSpiral: To really understand my motivation here, you know, I’m really interested in understanding how we think, how we feel, our intelligence, and how we do everything that we do. And to do that, I think it makes sense to start by understanding how you move. And that’s from the basic assumption that the only reason to have a brain is to control motion.

1:36 Original. Now, we appreciate art and all sorts of other wonderful things, but nature starts by the brain is a control system for motion, and once the basics of that are evolved, it gets used again and again in more complex ways. And so to understand the real fundamental motion is to get at the rest of the understanding of the brain. And the way I’m going to talk about this is, you know, if you want to understand the control of motion and how we move, it’s really important to start by understanding, you know, our physical system.

2:11 What is it that you’re moving? What is the structure? And there are some emerging ideas on our bodies that are very different from our natural assumptions of how we work, and so I’m going to talk about that for a little while. This is really looking at the body and how the connective tissue and the fascia makes a tension at work that is very similar to a tensegrity structure, and I will talk about tensegrity structures after that, and where we are, they’re again somewhat counter-intuitive.

2:50 And then I’ll sort of tie that together into this idea of the body as a tension network. Then I can share a little bit about my current research, building some robots and a physics-based simulator to explore these ideas. And then finally I’ll get into where I’m going and I’m sort of on the edge of really diving into the controls research. Animals that are moving change their relationship to gravity all the time. We don’t just stand upright like this constantly.

3:23 We do handstands. We can roll. You look at any animal moving in nature, they go up and down slopes, they fall over, and they have to deal with this. If you look at a lot of the classic biomechanical analysis of our bodies, there’s this assumption that we are upright all the time. So you see lots of assumptions that say, okay, well, if you look at the vertebrae, the small ones at the top, it’s like a pillar, it carries 9% of the load, and the one at the bottom carries 60% of the load, which makes sense if you always stand upright.

3:59 But since we can do handstands, I can do handstands, right? But collision avoidance is not perfectly possible in the real world. There are other actors out there, other things happening. So you have to assume that there will be collisions. The newest version is four meters tall when it walks, and I spent time working with it, designing walking algorithms.

4:21 But when you see this skeleton, maybe you had this in your classroom in biology, it’s misleading. You know, they had to add aftermarket, they had to add pins and joints everywhere to hold it together. In the real skeleton, there’s nothing that holds it together rigidly. It’s all soft tissue. And this next picture is from an actual cadaver from a Body Worlds exhibit.

4:44 And here you start seeing the fascia as a very large just structure that connects all throughout the whole region. And the muscles attach to it in different locations and the bones are connected to it. The common view is that, oh, it’s vertebrae disc, vertebrae disc, and the weight just passes through it. But if that’s the case, then you wonder, well, why do sometimes we get bulging discs and other times not? What’s the difference?

5:11 And the difference is that under normal conditions, force should not pass compressively from the vertebrae to the disc to the vertebrae. The force should pass through the tension network and not compressively through those discs. You’ve all heard of a chicken with its head cut off, and it’s a funny joke, but it’s real. And what happens when you cut the head of the chicken off is it runs around like crazy. So it’s worth thinking about.

5:40 Where the chicken is going is not a random. It doesn’t have intention. It doesn’t have a goal-seeking behavior. It doesn’t know where in the world it’s headed. But to run around is a highly coordinated action.

5:55 This is the example of the cat that has had its brain stem severed but kept alive. And you’ll see that as it walks on this treadmill, It has entirely different gates, so it goes from walking to trotting to running, and again, no central computation. This is where I get to brag about the work you guys do here, and obviously this is work from Alex Ladd, where this robot is moving with implementation all from CPGs, from central pattern generators, and it’s capable of, you know, a wide variety of behavior with very simple controls.

6:40 Thank you very much.

6:42 Brian Rose: Hi, it’s Brian Rhodes from London Real, and I’m here with Dr. Vita Spiral, who’s a robotic engineer with NASA at the Ames Research Center, and I just watched him give a talk at the EPFL, which is the Echol Polytechnic Federal Lausanne, and could you tell me what you were talking about and how you find humans inspire your robotic work.

7:09 Vytas SunSpiral: Sure, Brian. So the core part of my presentation is this interesting idea that if you want to understand how we think, how we humans think and appreciate art and do all these things that we love to do with our brains, we should start by understanding how we move.

7:31 And this is, it may sound strange, but it starts because The only reason to have a brain is to control motion. If you think about that from an evolutionary perspective, your neural system, your neurons, are controllers. They control your motors. They integrate information from your sensors. And so that’s where the first steps of evolution in terms of developing neurons and brains comes from is to control your motion in the world.

7:59 And so if you can really drill down and understand the basics of how we move, then you can start finding those fundamental building blocks that impact our whole control system, our brains, our neurology, our physiology, and nature reuses those same tricks again and again. And so you’ll find those same core qualities all throughout the higher processes of our brains, even getting to the point of understanding how we relate to each other, how we talk, how we think, and it’s all going to sort of start from those same fundamental basics.

8:31 Brian Rose: So I was watching your lecture today, and I noticed that you relate first to the human beings and the living creatures in order to go to robotics, where I think a lot of traditional methods is the engineers start at kind of the civil engineering, structural engineering they’re taught, and then go to try to mimic biology.

8:50 Could you kind of explain your ideas there and how you approach it?

8:54 Vytas SunSpiral: Sure. Yeah, and it’s really kind of a question of how do you build a machine versus doing fundamental science about us. That’s really the difference. And a lot of folks, they’re doing a really great job building machines to do tasks that we want done. And that’s useful, but in some respects that will only ever get you so far because you’re always building up on technologies you already understand and pushing those limits. But to get the really disruptive, game-changing new ideas, you kind of have to attack a problem from a different angle. And a lot of the Other things that we’ve learned how to do with robotics really were successful in environments that were really well understood or controlled, factories, laboratories, you know, reasonably controlled settings.

9:43 And I’ve worked in all those sorts of environments, but as you try to take robots into more and more complex settings, like out into the natural world and dealing where there’s other things is moving around, other people, other robots, you know, other animals, and you don’t have nice flat floors, you know, and all these, the world gets more and more complex. You start finding that the traditional approaches really run into limitations. They get really, you know, they don’t necessarily succeed at doing the things that we find very easy.

10:13 And so that really is then the reason to start changing the question and saying, well, Why don’t we really try to understand what we do and get in there, partly because it’s just darn interesting. I mean, at the end of the day, I think humans are the most interesting thing out there. We’re far more interesting than any piece of technology. And so let’s study that. Let’s learn how we work.

10:37 And then use the robots, use the implementation as the mirror by trying to build robots. to then come to an understanding of what’s hard about this problem? What’s it take to walk? What’s the quality of the problem that needs to be solved here? It’s so intuitive for us that we don’t even think about it most of the time.

10:59 So building the robots sort of lets us understand what’s even the nature of the problem and then we can look back at our own biology, our own physiology and neurology start seeing, oh, maybe, maybe that’s part of the answer, you know, and pull inspiration and ideas from a study of ourselves.

11:17 Brian Rose: Wow. Now, when you work at NASA, are you trying to build a lot of these robotics that are then going to go land on Mars someday, or what is, what are some of your end goals when you write these robots?

11:29 Vytas SunSpiral: Well, you know, first of all, my work at NASA, I should say, is I’m involved in quite a number of projects, including other robots that are, you know, free-flying robots in International Space Station and robotic systems for planetary exploration. We do a lot of different things there and it’s good to sort of have a hand on a lot of different projects. My particular interest in these tensegrity robots and looking at the body as a tension network really comes from the question of how do you build robots that are going to really manipulate and touch and interact with the world and walk in the world in ways that are going to be very energy efficient and that’s one of the challenges for NASA is that our robots have to be lightweight because we launch them into space and and we have very limited amounts of power right because if you’re gonna send a big battery up or a solar panel or whatever you’re gonna have limited power not like here where you can just plug it into an electrical grid and have as much as you need so looking at new ways to build robots that are very lightweight that can be compact and then deployed so that you know you can launch them into a small size and then have them get bigger once they’re in space. These are qualities that you can also see and I didn’t talk about it during the lecture but these are qualities that are part of the Tinsagrady robotic concepts that I’ve been discussing and because they can be such lightweight structures it

12:52 Takes less energy to move them and some of the ideas I talked about in the presentation were how we can use things like oscillation, how we can use, you know, the vibratory nature of these robots to generate motion. So you can maybe excite that oscillatory nature of the structure to get it to move and that can become a really energy efficient way to move. And so those are There’s some of the reasons why NASA’s interested in this so that we can build efficient robots to do, at this point, whatever we may want to do, exploration, manipulation, deployment of large structures like space antennas and whatnot.

13:41 At this point, I’m really looking at the fundamental science of it, and I’m not pushing too hard on the specific applications. I have some ideas of some nice projects to deal with it, but sometimes you just have to really start with the core science and then worry about the employment later.

13:56 Brian Rose: Okay. Do you watch the Olympics or watch, you know, the ultimate fighting championship or do you watch humans do different movements and then kind of get inspired or get ideas from that?

14:06 Vytas SunSpiral: Absolutely. You know, a lot of the work I’m doing is really me integrating both my professional intellectual career of robotics with my own personal exploration. I love to do martial arts and yoga and dance and all sorts of sort of trained and very physical activities and when you really take your your own physical activity to you know a very advanced level you start getting insights into how you move you can only be a great martial artist if you really understand how to generate speed and force and power with your body and you can only really do you know you can only advance in yoga so far if you really understand some of the alignment and some of the subtle details of how you can rotate parts of your body to expand your range of motion and how the chain of connection in your body works so that even when you’re trying to afford bend what you’re doing with your feet changes how you move you know and how that’s all connected and so it’s by combining these different aspects of my life right the my own personal experience of motion and sports, you know, martial arts and yoga with the analytics of robotics that’s now kind of coming out in this research area that I’ve been discussing.

15:26 Brian Rose: You know, I did some shadow boxing after your lecture and I was thinking to myself, you know, is it the fascia, that’s what you call it, the fibers that were pulling my leg around to throw like a tie kick and you know I was thinking how you were saying that the bones weren’t actually touching each other in a body so you’re not necessarily having everything in a compressive force. And when I was thinking I had to be on my toes when I throw a punch, I was just thinking in so many degrees of freedom that the human body has that I don’t really think about. And I think having that knowledge might make me actually practice martial arts differently.

15:59 Vytas SunSpiral: It really could. I mean, I certainly find it useful for me to understand how we move, and it gives me a better model to move myself. And that’s the interesting thing about it. We don’t control motion consciously by saying, okay, motor number 37, turn on, okay, motor 38, go, you know, it’s not like that. We, due to the complexity of our body, we use very abstract imagery to control our own motion.

16:32 We use very abstract visions of like, well, I want to move, you know, in a spiral this way, you know, or I want to, um, I think about motion because I’m just sitting here, I can just think about, you know, the energy flowing down my back and that causes my shoulder blades to go back and that changes my whole structure here and the power in my shoulders and it can set me up for a different type of strike than, uh, I would have just slumped like that, you know. So by having a different understanding of how your body works, you will also then, uh, can have a different visualization. By changing your visualizations you can make more effective motion just by how you see it

17:13 Brian Rose: that’s interesting I mean how do you apply that to a robotics perspective I mean I think you might my jiu-jitsu instructor always said posture Brian it’s posture everything whoever controls the other guys posture wins I mean how do you relate something like posture which is very abstract yeah into a robotic framework

17:33 Vytas SunSpiral: right well so the reason why he’s saying postures is what helps you win is because if you have a good awareness of the alignment in your body, you can really maximize your force production and maximize your stability.

17:46 Brian Rose: Final question, you have the coolest surname I’ve ever heard, it’s Sun Spiral. Yeah. How did you get that?

17:53 Vytas SunSpiral: Well, I got that because when my lovely wife Claire and I decided to get married, you know, we’re both awesome people. She’s an amazing human being. I have enormous

18:03 Respect for it. And so we felt that giving up one person’s name for the other, as this tradition didn’t seem right, you know, were equals. And so what are we gonna do? And you know, Haifa Nation, putting our two last names together with the Haifa, it’s a one-generation hack that’s non-extensible. You can only do that once, maybe twice, and it gets out of control, right? So we decided that the best way to do this was to make a new name together that was both of us equally.

18:30 And I used to do a lot of medieval martial arts, and so I had always used the sun as a symbol on my shield, as my token of who I am. Coming from my old, I’m half Lithuanian, and that’s a symbol that’s very popular in the Lithuanian mythology. And Claire has always loved this spiral as part of nature and its sort of mathematical beauty. It had taken spiral as part of her middle name legally, right around the time I met her. name to be Claire Spiral by a Rose and so then when we got married we took these different symbols and you know played around with it for a while and eventually came up with Sun Spiral as our new family name.

19:10 Brian Rose: Wow that’s a cool name and a cool sister. Sorry cool wife who was also my sister so I have the coolest brother-in-law ever. Well I’d like to invite you to London some time to come on the show so we can get a cool hour with you on London Real but Thanks so much for the time. Thanks for letting this film film you today.

19:30 Vytas SunSpiral: Sure thing and I appreciate it, right?

19:32 Brian Rose: All right, take care and we’ll see you next time until then it’s about the journey

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