StarTalk Radio - Robots Searching for Life on Saturn’s Moon with Matt Travers

Episode Date: August 20, 2024

Could we use robots to explore the oceans of Enceladus? Neil deGrasse Tyson and co-host Harrison Greenbaum dive deep into the EELS Project, sending a snake-like robot to Enceladus with Matthew Travers..., a roboticist at the Biorobotics Lab at Carnegie Mellon University.NOTE: StarTalk+ Patrons can listen to this entire episode commercial-free here:https://startalkmedia.com/show/robots-searching-for-life-on-saturns-moon-with-matt-travers/Thanks to our Patrons Sam Gmail, Juraj Petrovic, Teresina Rojas, Nichole Buck, Don, Jeremy Berry, Antonio Johnson, Mike Feinberg, AGM-Prism✦, Micheal Brown, and Jason Lie for supporting us this week. Subscribe to SiriusXM Podcasts+ on Apple Podcasts to listen to new episodes ad-free and a whole week early.

Transcript
Discussion (0)
Starting point is 00:00:00 So Harrison, we had a roboticist in my office from the Carnegie Robotics Lab. This is Institute. It was an institute. Yeah, it was amazing. I mean, they might replay this video when the robots take over and go, they could have stopped them then. So this was the key point. This was a part of the timeline where things went dark. Timeline of civilization.
Starting point is 00:00:22 Both exciting and terrifying what can happen in a robotics lab. But what we're trying to do is put robotics in the service of exploration of space. And that's most of what that conversation was about. There could be life on Saturn. Yeah, yeah, we'll keep looking. All right, coming up on StarTalk. Welcome to StarTalk.
Starting point is 00:00:43 Your place in the universe where science and pop culture collide. StarTalk begins right now. This is StarTalk. Neil deGrasse Tyson, your personal astrophysicist, I've got with me as my comedic co-host, Harrison Greenbaum. Harrison, welcome back. Thank you. It's so nice to be back. You were last here, BC, before COVID.
Starting point is 00:01:09 Yes, before the pandemic. Before the pandemic. Before the pandemic. Absolutely. Right. Like four or five years ago. Just welcome back. Thank you.
Starting point is 00:01:15 And you've been busy since. You had a stint in Vegas? I was in the hot, hot desert. Whoa. So you've been getting around. It was like a residency in Vegas, right? Yeah, I was the first comedian to headline a Cirque du Soleil show. And probably the last.
Starting point is 00:01:29 I think they realized they're maybe not prepared for a clown with opinions. Do you have to swing from the rafters? I aggressively campaigned. My first entrance was through a lift in the floor, which is very cool. They give you like a safety training because they don't want you to get hurt in the lift. Of course. And this is a true thing. The two main companies that make it are Otis and Schindler.
Starting point is 00:01:50 So I was like, let's not have a Jew killed by Schindler's lift. I don't want to be a part of that obituary. But for my second entrance in the show, I really wanted to come in Miley Cyrus style on a giant bagel. Oh. And I campaigned real hard for it.
Starting point is 00:02:04 And I never, that's a dream. Okay. Still to come. giant bagel. Oh. And I campaigned real hard for it. And I never, that's a dream unrealized. Still to come. Still to come. Exactly. All right. Excellent. So you know what we're going to talk about today?
Starting point is 00:02:14 We're going to talk about robotics. Love it. Nobody doesn't love robotics. So we combed the land. Yes, we did. And we found Matthew Travers. Matthew, welcome to Star Talk. Thank you very much for having me. Yeah, you came in all the way from Pittsburgh.
Starting point is 00:02:28 That's correct. That would be the home of Carnegie Mellon. That is absolutely correct. And they have one of the greatest robotics labs around. Yeah, that's right. The home of the Robotics Institute. Yeah, so it's not just a lab. It institutes.
Starting point is 00:02:40 The institute. And then the next level is what, society? No, institute, that's a good fundraising level for the title of what it is. So you would call yourself a roboticist. That's correct. Is that correct? Okay. And I've got you here, senior systems scientist.
Starting point is 00:02:57 That's correct. Carnegie Mellon. I'm doing well for myself. Okay. Robotics lab, bio robotics lab. That sounds a little scary. And MATLAB. What is MATLAB? The MATLAB is my lab, for lack of a better description. Oh, MATLAB. Matthew Travers Lab.
Starting point is 00:03:14 That's correct. Oh, no. No. No, I will not allow that. I don't mean to brag, but we're currently in the Neil Institute. There's another MATLAB, not to be confused with the MATLAB. Okay, I can't believe you went there. Okay. Gosh. But anyhow, we want to just get all into your stuff.
Starting point is 00:03:35 Please. So, Matt, tell us, what do you think when someone says robot compared to what your average person on the street thinks? Because you know, robot, it's got to be, it's got to have two arms, a head, and legs, and not sound exactly human, right? It's got to have a robot voice. Yeah, for example, there's a gap there.
Starting point is 00:03:57 Is one of your goals to close that gap between imagined robots and reality? Or you just don't care? You'll make robots serve whatever the needs are of those who come knocking on your door. Yeah, no, it's an interesting question. So, I mean, I think it's probably philosophical more than anything else.
Starting point is 00:04:12 Yeah, well, bring it on. What's a robot? Right, like a coffee maker could be a robot. I would call it a robot. It does a task that you wouldn't otherwise do or want to do or don't care about. Yeah, it's arguably one of the most, by that definition,
Starting point is 00:04:24 one of the most reliable robots at the Robotics Institute, without any question. Works day in, works day out, provides a service. But yeah, I mean, it's a daily activity, right? We work on robots of all different shapes and forms. And it's everything from sort of more mechanical systems, like you're talking about, things that are biomorphic, things that look like humans, look like dogs, look like snakes,
Starting point is 00:04:48 all the way down to us, what we consider more on the intelligence side. So what have you been working on lately? A bunch of different things. So big program with NASA, I think we'll talk a little bit about. I've been working in recycling robots for quite some time,
Starting point is 00:05:06 and I've been doing a bunch of work. Wait, wait, wait. Robots that recycle? Or recycling current robots? Yeah, how many people are done with their robots? They know you want to recycle. Well, that coffee maker has been rebuilt so many times and just wants to end it.
Starting point is 00:05:19 No, no. Oh, so these would be robots that know how to sort recycling materials. Yeah, that's correct. Okay, so that's a mechanical thing with some AI built in, right? So there's got to be a whole AI dimension of what you're doing. Yes. There's a lot of interest in the robotics community and AI right now, sort of like overnight. Right.
Starting point is 00:05:38 So let's unpack this a bit. Obviously, the coffee maker is not making decisions for you. Well, it's grinding the beans, right? No, no, but you told it to grind the beans. Yeah, that's right. the coffee maker is not making decisions for you. Oh! It's grinding the beans, right? No, no, but you told it to grind the beans. Yeah, that's right. It's not otherwise. It's doing tasks for you, but it's not deciding for you.
Starting point is 00:05:53 It's not looking at you, get out of bed, and say, we need a triple espresso this morning. But you pop up wide-eyed, and then it gives you a single espresso. So where is the frontier now? Because it seems to me we're capable of building anything mechanical. Mechanical is just some engineers in a room for a day. It's this decision-making that seems to me the big frontier here.
Starting point is 00:06:18 Yeah, related to the question of what actually makes a robot. So for me, when we get down to it, actually combining the mechanical with some form of intelligence and some decision-making and some ability to sense the world so that you can get feedback. By the way, we had as a guest on StarTalk, you can dig it up in the archives,
Starting point is 00:06:37 the actor who played C-3PO. Awesome. Yes. So at the time, he had written his biography. And in there, what he said was, he's the only person in the world who knows what it's like firsthand to be a robot. And I said, well, what do you mean by that?
Starting point is 00:06:56 And he said, I'd be standing there, and if people chose to ignore me, there's no social cost to that because he's just a robot. Whereas if he were an actual human being, you'd feel some obligation to fold them into a conversation. And so I don't know if this gets to the point of can robots have feelings?
Starting point is 00:07:21 Could you have feelings for a robot? Does that matter? Are there psychologists working in your mat lab? They're all dating the mat. That could guide your morality and your ethics when you invent one of these things? It's become a very big subcategory in robotics has been ethics, robo-ethics, if you may.
Starting point is 00:07:43 And it's an interesting question. Certainly, you'll talk to people who work with bomb disposal robots. ethics, robo-ethics, if you may. And it's an interesting question. Certainly, you'll talk to people who work with bomb disposal robots or people you're starting to see more like dog-like robots, police bomb squads, and the like will have them. And they start to really develop
Starting point is 00:07:58 personal relationships. So part of it is probably because people will name the robot. And the moment you name it, like don't name the animal you're going to slaughter for your dinner because that affects you emotionally. Fair enough. Yeah, I think the emotions that they might be feeling,
Starting point is 00:08:15 it becomes part of your team, right? So people do study psychology of teaming and that. And so starting to extend some of that to now incorporate robots on those teams and the sense of codependency, especially in these jobs that are life-critical, for lack of a better description, when you start to depend on something,
Starting point is 00:08:31 you form a relationship with it. It becomes part of your life as well, yeah. Correct. Wow. Okay, so future robots should have caution, Paige, about getting too close. Getting too close. And stop there because there's no... My car was named Rebecca.
Starting point is 00:08:51 I'll just leave it at that. I won't answer what you did with Rebecca. So I have a question, and this has bothered me. It's not quite the right word, but it is the right word. the right word, but it is the right word. Okay. I've been deeply curious why anyone would build a robot that resembles any life form at all. Just build a robot that is exactly shaped for your task.
Starting point is 00:09:18 And that should not have to be something that looks like another life form. Yeah, you're correct. Let's build a bomb-sniffing dog. No, just because dogs have good sense of smell doesn't mean you have to build a robot that looks like a dog. Build a robot that is for the task. Yeah, I mean, people do definitely build platforms that are specialized for tasks, but it comes down to almost more of a philosophical question. Doesn't it have to be true that a specially designed robot will do its task better than a generally designed robot would?
Starting point is 00:09:52 It doesn't have to be. Speaking as an engineer, that kind of has to be the case. Yeah, I mean, what you typically find, one example from stuff that we work on in MATLAB is we design robots that can go up and down stairs. So you can design a robot that's really good at going up and down stairs, but, you know, that action is at the beginning and the end of the stairs, right? So like if I design a robot that's only good for that one portion of the task, of course, I'm going to, you know, have a robot
Starting point is 00:10:17 that's really good at going up and down stairs, but going and exploring a floor after it climbs the stairs might be an issue. So there's always going to be a trade-off. I'm Alikhan Hemraj and I support StarTalk on Patreon. This is StarTalk with Neil deGrasse Tyson. So, how many legs does this robot have that goes up steps? We use quadrupeds. Stairs were made for legs.
Starting point is 00:11:00 Trust me when I say that. Legs, but made for four legs, not two legs. Legs in general. I used to walk dogs and dogs had no... I've seen some footage of past presidents. Having legs is not necessarily all you need to go up and down stairs. Yeah, yeah. So I used to walk dogs for a living, and dogs are completely fluent on stairs,
Starting point is 00:11:22 provided they're not bred as city dogs. City dogs don't know stairs. But any other dog, it'll just roll. And they're perfectly fine. And they're pretty good on horizontal ground, too. I don't think I want a robot dog walker that looks like a dog. Just a robot dog
Starting point is 00:11:37 holding other dogs. It's usually alright with it, to be honest with you. No, no, you need the arms to hold the leash. So you'd have to design a dog with six legs. Oh, God. They can do it. You can do it. Why can't they do it?
Starting point is 00:11:49 Hexapods, more legs. Oh, hexa, what's it called? Hexapods. Hexapods. That makes sense. Okay. All right. What's the most legs you put on a robot?
Starting point is 00:11:58 Six, personally. Okay. The way you said it makes it sound like you want to do more. Yeah, he sounds like he's still aspiring. But doesn't six legs maximize a certain efficiency of locomotion because any three points that are not in a line creates a stable foundation? So a stool is like the minimum thing you can sit on. If it had two legs,
Starting point is 00:12:26 you can't sit on it. You give it a third leg that's not in line with the other two, that's stable. That's the reason you don't sit on a person. Duh. Same two legs. Oh, I see. Okay. So three legs is stable.
Starting point is 00:12:41 The minimum stable number of points. If you have six legs, at any given moment, three legs can be raised and moved forward while the other three legs give it stability. Those other three legs go down, and then it swaps three legs for three legs. Keeping in mind that when we lift up one leg, you're not stable. You have to land once you've lifted it up.
Starting point is 00:13:06 Right. All right? Otherwise, you'll tip over unless you're a ballet dancer, and I'm not thinking you're a ballet dancer. Wait, what are you trying to say? So do people think about the stability of what legs are still touching the ground versus which others can move forward? I think that's how beetles can scurry so efficiently.
Starting point is 00:13:26 Their legs do this thing. Yeah. So it's called an alternating tripod gate as you might imagine. We got a term for it. Yeah. Okay.
Starting point is 00:13:33 Alternating tripod gate? That's correct. Didn't know that. Thank you. You're welcome. That's what we'll say next time instead of spending five minutes explaining.
Starting point is 00:13:41 I was going to cut in but I didn't want to be rude. Be rude. Be rude. I was going to call it the mat I didn't want to be rude. Be rude. I was going to call it the Matt game, but it might be too much. But you're correct. It might not be the most efficient,
Starting point is 00:13:53 maybe the most effective in terms of maintaining static stability. So with humans, sort of the main difference between what you're talking about with hexapods and humans is we actually have a dynamic stability, which is sort of a different
Starting point is 00:14:08 The way a bicycle has a dynamic stability. That's exactly correct. If you don't pump energy into the mode of going forward, you're going to fall over. Right. Interesting. But on the flip side, as I think a famous robot once said, mo' legs, mo' problems. Yeah, I think it might have been me.
Starting point is 00:14:25 Is that a problem where if you have too many legs? I feel like you have to know where each leg is going to be at all times. The middle P didn't seem to have an issue with this, okay? It's an interesting question. So when we start to get into robots with even more degrees of freedom, for each of those legs as a roboticist... So tell me about degrees of freedom. Yeah, sorry, excuse me.
Starting point is 00:14:44 So degree of freedom is like in your elbow joint or any of your joints is a degree of freedom. Typically one joint, so like a simple hinge joint, you can get one degree of freedom. Got it. But the rotation, I guess that's also, so now I'm moving but not moving to a new place. So is rotation a degree of freedom to you?
Starting point is 00:15:03 Yeah, okay, good. Rotational and translational. Translational. All right, good. Yeah, so as you start to add more and more degrees of freedom, you need to start
Starting point is 00:15:12 to be a little bit sophisticated in how you are going to coordinate this, right? I mean, just, you know, I have lots of degrees of freedom in my body, but I'm able to coherently put those into forward motion
Starting point is 00:15:21 to walk, to jump, to climb stairs. You're not a badly connected skeleton trying to walk down the street. Yeah, that's correct. No skeleton has ever had swagger. They're always like ready
Starting point is 00:15:35 to crumble into a pile of bones. So as you boost the degrees of freedom, it comes with higher responsibility. It requires more control. Yeah, you can articulate more. So the overall number of, lack of a better description,
Starting point is 00:15:52 degrees of freedom that you have and the expressiveness that you can get out of more degrees of freedom, the number of places that I can weave into and whatever ad capability does go up, but it comes at the cost that it becomes more complicated to coordinate all of those degrees of freedom. For me...
Starting point is 00:16:07 Into some coherent project or task. That's correct. I got into a little dust-up on The Late Show with Stephen Colbert, because I just... We had both seen Dune. We went to the world premiere, and I didn't hang out with him there,
Starting point is 00:16:23 but we saw each other, and I was on his show shortly after that. He said, what'd you think of Dune? Because he loves these big fantasy stories, right? He's a big fan of Lord of the Rings. He said, what'd you think? And I said, well, the worm, okay. But there's a scene where the worm moves really fast
Starting point is 00:16:42 and it is straight as it does that. The worm has no legs or arms or wings, so you can't take a straight thing and just zoom down the highway, okay? If you ever see a snake, it has to coil and then propel itself off of that. If you ever see a stretched out snake, it is harmless to you, okay?
Starting point is 00:17:04 It can't just all of a sudden bite you or chase you down. That's not going to happen. Straight things are slow. That's why the gay pride parade is so much quicker. It's so fast. Nailed it. So, what good would a
Starting point is 00:17:22 robot be that has no arms or legs? Because I'm reading up that you're collaborating with NASA on this EEL project. Okay, this sounds like a tortured acronym. Let's see what they pulled out of this. Exobiology Extant Life Surveyor. Did I get that right? EELS.
Starting point is 00:17:40 EELS. That's correct. Okay, so this is, it's a robot. It's a robot. In design right now, presumably, right? When will it be ready and deployed? I believe 2028 is target. In just a few years to come.
Starting point is 00:17:56 That's correct. And what is its prime directive? The scientists at NASA believe that the greatest probability to find other biological life in our solar system is on one of the moons of Saturn, Enceladus. Okay. It's the name of the moon. It's a ice-covered planet, and you can see, so they've sent previous missions there. In this context, he's allowed to call the moon a planet. Okay.
Starting point is 00:18:23 Because it's a world, okay? It's a spherical world, and I'm giving him that, okay? But don't come at me saying, but how about Pluto? No. Okay, go. My bad. All right, so previous missions have found these geysers, plumes of whatever material coming up from the surface.
Starting point is 00:18:42 Coming from below the surface through the ice. Correct. Because there's pressure down there, and any time pressure and some fluid, something's got to give. I'm keeping it so clean. I'm keeping it so clean right now. He shackled to the chair.
Starting point is 00:18:59 So they believe, yeah, that pressure is being created by a subsurface ocean. And they believe that, so they, the scientists at NASA, believe that that has the highest probability for finding life. Now, if you have geysers, you don't have to go to the ocean because it's coming to you. How does that help or hinder your efforts? Yeah, that's one of the theories that you could fly through the plumes as they're happening to try to collect data there.
Starting point is 00:19:21 There's other thoughts that you can just go to the surface and start taking samples there. Because the geyser comes back down and it's... It's water? Yeah. Well, excuse me, we don't know.
Starting point is 00:19:32 It's very likely water. Very likely, yeah. So there's a couple different theories on what would be the best way to go search for life there, which is ultimately
Starting point is 00:19:39 what they're trying to do. With this, with the EELS project, we're actually trying to get into the ocean via the sinkholes. Oh. Do we know?
Starting point is 00:19:48 Have you considered knocking? So that means we have some idea how big the opening is. I didn't know that. That's interesting. Sort of. I believe the resolution of surface, any pictures that we have of the surface of Enceladus
Starting point is 00:20:04 are about six meters per pixel. So I believe that the openings into whatever the sinkholes, we think they can see them. Okay. So, but not with great enough resolution that I think you could measure to down to meters. All right. So it's got to be worm-like to get in the hole. Yeah. And then what does it do? to be worm-like to get in the hole. Yeah. And then what does it do? So, this project basically we're trying to, in the same way, like a boa constrictor
Starting point is 00:20:30 actually, exactly the same way, can constrict around something with snake robots, which is the eels robot is basically a snake robot. It doesn't look like an eel? Good one! Wait! Wait a second.
Starting point is 00:20:44 The eel robot is designed to look like a snake? Eels and snakes look alike. They look alike, but they're not the same. Harrison uncovered the flaw in your project. This is unbelievable. Snake-like robot. Try to climb down the geyser by pushing out against the sides of it. So they don't just, we're not going to drop a robot basically down the geyser.
Starting point is 00:21:02 So we want to do a controlled descent by pushing it out. Yeah, this is like very Mission Impossible kind of. Very much. You know, yeah, okay, cool. Absolutely. So you have things that protrude from the side of your eel. It is using its body, the body of the robot, to actually push out and create friction against the sides of the sinkhole.
Starting point is 00:21:22 So does it do it in a curvy sort of way? It can span whatever the width is just by curving to do that. Yeah. Interesting. Now you designed it to get in, but now you want to do interesting things. How's the eel going to do that? So that's where I think the eel comes in,
Starting point is 00:21:36 is that actually we want to be able to get down through a hole and then swim in ocean intake samples and search for life. So where are the sensors? So right now the sensors are in the head and in all of the individual degrees of freedom. So the degrees of freedom in this case all have motors attached to them as well, so you can control them.
Starting point is 00:21:56 Okay, and does it have to come back out? Excellent question. So as of yet, once you collect the information, which you have to do physically, collect the samples getting the information back out you can do wirelessly if you have something flying over you have line of sight
Starting point is 00:22:12 so whatever it's doing it's information in situ and then it sends that information back about whatever it collected so as of yet undecided I think for that program so you're leaving that poor eel? And we're talking about personalizing. Don't name this thing.
Starting point is 00:22:29 Don't name it. You're going to feel real bad abandoning it on Saturday. I don't think anybody has feelings for eels. I'm sorry about that. Is it furry? Does it know? Does it have big eyes? So this is not designed for a sample return, then.
Starting point is 00:22:41 It's going to get all the samples it can. Yeah, I don't think the answer to that question yet exists so you made quick mention of the constricting part of a boa constrictor in what way is your eel constricting uh so it's doing the opposite or like the complement of constricting it's actually pushing out oh okay so it's the same dynamic i guess uh so you're using forces um instead of like a normal robot you think of in a factory where it's doing pick-and-place type action, you know, very robotic and mechanical. In this case it's more biological in the sense that it's trying to engage with the environment, it's trying to actually feel its way proprioceptively, in this case feel its way through the
Starting point is 00:23:22 environment. So Saturn is an hour and a half away, light travel time. So no one is giving it fast commands. Look out for the monster! It's too late. The subsurface monster. So it's got to have some decision-making abilities. What might that include?
Starting point is 00:23:39 100%. So you're just looking outside the hole. I'm not going in there. That looks dangerous. You go first. I'm not going in there. Why are you out of your mind? That looks dangerous. You go first. Yeah, this is so funny. So we just had actually a paper in Science Robotics that just very recently came out that actually—
Starting point is 00:23:53 Wait, wait, that's a journal. That's a journal. Science Robotics. That's correct, yep. Wow. So that article goes into in great detail exactly what the autonomy system is. But in general, you know, very, very high level,
Starting point is 00:24:06 you have sensors, you have your platform, which can move around, interact with the environment. You have some sensors on it so that you can sense the environment. Is there a rock over there? Is there a crevasse over there? But what good is a robot if it can't sense its own environment? That's correct. So yeah, sensors, mobility platform, and then basically decision-making at the high level
Starting point is 00:24:25 so we can take in the sensor measurements and be like, all right, there's a big hole over there. Maybe I want to explore the hole. Maybe I don't. Maybe that looks dangerous. So you have a planning algorithm, is what we would call it, which is making decisions.
Starting point is 00:24:38 And then something that's doing the control, which is making sure that your robot is actually doing what you're trying to get it to do. And again, because of this, it's an hour and a half there and an hour and a half back. You don't even know if it did anything you wanted for three hours, a three-hour delay. That's right. So... In that way, Saturn is closer than Pittsburgh.
Starting point is 00:25:00 So, you know, I mean, depends how you measure it by... He drove in from Pittsburgh earlier today. And that was like two Saturns. Two Saturns. And back. Up until now, you have not described what this thing is made out of. Is it just hunks of metal that you guys welded together? Is it...
Starting point is 00:25:39 Iron Man style? Iron Man style. In a cave under duress? Yeah, in your garage. I cannot begin to think what you would make this out of. Basically, it's a bunch of metal and motors and sensors that are put together. Perhaps welded in some cases. But yeah, mostly aluminum, steel, normal, that.
Starting point is 00:25:59 And how long is it? How big is it? It's about two and a half-ish meters. Meters? The lady is asking, five meters. Meters? Yeah. But the lady is asking five meters. That's right. Yeah, and it weighs, I think, around 200 kilograms. So, like, around 400 pounds.
Starting point is 00:26:19 Okay. On Earth? Correct. On Enceladus, it weighs practically nothing. You probably know better than me. Yeah, okay. And when I think of a millipede, it's in these little segments, and each segment has legs.
Starting point is 00:26:34 Because it has so many segments, it can turn in any way that it wants. So can I presume that since this is snake-like, eel-like, it has segments that can simulate the wiggliness of an eel. How many segments is this made of? Approximately. Let's say eight segments. Only eight. Eight segments-ish. Don't exactly quote me on that.
Starting point is 00:26:55 But there's two forms of actuation, primary forms of actuation on the platform. So it can bend its body, and then it has counter-rotating screws that can actually produce forward locomotion even if the body of the robot is straight. It can actually drive itself forward.
Starting point is 00:27:11 So these are like an Archimedean screw. So you can move it forward or backwards. That's correct. Right, an Archimedean screw has a surface. It's what hole diggers are, where it's like a corkscrew, but it's got a surface so that as it turns, the dirt rides up the screw, and you can actually empty out the hole of what's there.
Starting point is 00:27:35 But if that's on a surface and you turn it, yeah, it'll propel it forward for sure. And counter-rotating so that it can go forwards or backwards. Counter-rotating so basically it doesn't just spin in place. You need something to have the opposing force. Oh, so one of them is touching the outer surface and the other one is inside not touching anything. No, no, no, sorry. There are two counter-rotating screws on the outside of the body of the robot.
Starting point is 00:27:54 One of them is basically gripping while the other is pulling. So they're both, like if you just had a screw on the front of it, the body of the robot would start to rotate. Right, would respond to the opposite of that. So the screw, the body of the robot would start to rotate. Right, would respond to the opposite of that. So the screw, the body of the robot doesn't rotate,
Starting point is 00:28:11 the screws are handling that additional torsional force. Okay. So that can only be true if the two screws have opposite threading. Yeah, that's exactly correct. Oh, okay, okay. Yeah. I was about to say that also. That was what I was waiting for. I was thinking about it and I was going to say it.
Starting point is 00:28:26 I was going to let Neil say it. It's his thing, but that was what I was going to say. He did sound smart. No, I had to figure that out in real time. If you look at a picture of it, you can see it exactly. Okay. Got it. Thank you.
Starting point is 00:28:42 Okay. So the two screws rotating opposite directions both propel it forward. Correct. Yes. Yep. And thank you. Okay. I'm here to help.
Starting point is 00:28:50 And are there a lot of redundancies in the robot? Because it's going to take a lot of time and energy to get it to Saturn. Do you have things like in case things go wrong? You know what we used to do? Because it was so much to design something from scratch, we built two identical ones, and we'd send one, and we'd leave the other one behind
Starting point is 00:29:07 so that we had a model for what, in case something went wrong, we could mess with it. Or if we had enough confidence in that, we just launched the second one. That's what Voyager 1 and 2 are, identical spacecraft. They're identical.
Starting point is 00:29:21 We said, we got another one. We're done with it. Send it off. Send it off. So, yeah, part of going to this eel or snake-like design is you have multiple degrees of freedom that are all working together to produce one desired outcome. So if you have like a motor, right, you have 10, 8, 16, whatever motors in the robot. If one of those motors goes down, you now have 15 other motors. So you're not just completely dead in the water. You meant literally dead in the robot, if one of those motors goes down, you now have 15 other motors. So you're not just completely dead in the water.
Starting point is 00:29:45 You meant literally dead in the water. You're literally dead in the water. Well, you made it down, yeah. You actually made it down to the crevasse. Just expression. But in this case, then you also have the screws, the counter-rotating screws. So those are your two main propulsion.
Starting point is 00:30:00 You can either undulate with the body or use the screws for propulsion. So you actually have redundant locomotive methods. So, you're doing robotics in collaboration with NASA, which has my people, astrophysicists. First, how are we to work with? Are we? Just absolute pleasure.
Starting point is 00:30:18 Yay! What else is going on? It's been a nightmare. They made us call it heel, but it's actually a snake. Mass is calling me on the way out of this office. So do they come to you or do you go to them? That's an interesting question. So one of the primary tech leads on this project
Starting point is 00:30:38 is actually one of my former graduate students who actually worked on snake-like robots at Carnegie Mellon. students who actually worked on snake-like robots at Carnegie Mellon. So he, I believe, was sort of the driving force for my inclusion in this project. So is this a fully funded project? It's Will Fly? Is that right? Or there's some contingencies here?
Starting point is 00:30:58 I think it's too early to tell. All right. Have you named your eel yet? To the best of my understanding, there is no name for the eel yet. Neil the eel? Neil the eel. Neil the eel there is no name for the eel yet. Neil the eel? Neil the eel. Thank you. Neil the eel actually works. Neil the eel. You have to go with one more letter.
Starting point is 00:31:12 It's very easy. So my understanding of engineers is you guys love constraints. No, because that forces you to be creative in ways that wouldn't otherwise be required of you. So in NASA, there's the payload, the weight of the payload, the temperature constraints, the shake and bake constraints
Starting point is 00:31:35 because it's hot, it's shaky, it's cold. So you get all these specs. And then you just go into, you know, lock yourselves in a room and come out with something at the end. Robot. That'll be all, folks. That's my stereotype. To us, you're kind of like a black box.
Starting point is 00:31:54 It's like, just hear the specs, just do it. All right? And then great creativity comes of this. For example, we wanted to put telescopes in space that were bigger than the rockets that could launch them. And we said, engineers, figure out how to do this. For example, we wanted to put telescopes in space that were bigger than the rockets that could launch them. And we said, engineers, figure out how to do this. They said, oh, let's create a segmented mirror that unfurls when it gets into space.
Starting point is 00:32:14 We couldn't have come up with that. You guys come up with this, right? So we're very happy about this kind of relationship. How has it worked in practice between you and the astro folk? Do they hand you specs and you come back and it iterates?
Starting point is 00:32:28 Yeah, I mean, they're like, here's a cross on one of Saturn's moons. We're going to put an autonomous robot down. We're going to climb down the thing and go take samples from the sea. So as an engineer, you're like, yeah, this is awesome. Right, like this is, and I say this in the most respectful manner possible, like this is crazy. like, yeah, this is awesome. This is, and I say this in the
Starting point is 00:32:46 most respectful manner possible, like, this is crazy. It's crazy. It's dope. Yeah, it is. But for me as an engineer, I like challenges and this is a challenge. Constraints are the challenge. That's what a constraint is. Absolutely.
Starting point is 00:33:01 It's a big problem. It's a hard problem and I find that cool. All right. So let me bring some closure here. When I reflect on portrayals of robots, mostly through cinema and other forms of storytelling, they always make them look human. And I remember thinking early how unimaginative that is. Because if you have tasks
Starting point is 00:33:28 to perform, the human body might not be the best designed for it. In the Jetsons, the idea that something is robotic meant a humanoid robot did it. Even in the Jetsons, he had to fly his own car without realizing that maybe the car itself could be a robot. So this is very limited thinking for all of us, going back even just a few decades. Now, that's been blown wide open. And we have no end of tasks that robots can and should perform
Starting point is 00:34:03 for many reasons, for safety, for just dignity, for things that a human being would just rather not do. So you let a robot do it. And I foresee that transition coming faster and faster, because now it's not just the skeletal mechanical object that's doing a simple task. It's actually going to be imbued with some form of intellect, decision-making power. Yeah, I'm good with that, but we need a tandem review
Starting point is 00:34:40 of the ethics of what you just created and possibly even its morality for what task you would have it do, violating one or two of Isaac Asimov's laws in a robot that you designed that brings harm to other people. So, cautionary tale, but a beautiful one knowing that if we do it right it's as bright a future as anyone has ever imagined
Starting point is 00:35:11 that's a cosmic perspective Matt Lab, thank you for coming thank you for having me so thanks for coming in for this right here in my office at the American Museum of Natural History Hayden Planetarium.
Starting point is 00:35:25 And Harrison, we can find you off-Broadway. Off-Broadway, yeah. You can call me when you're on-Broadway. No, what's your show called? It's called
Starting point is 00:35:34 Harrison Greenbaum What Just Happened. You can go to harrisongreenbaum.com and get all the info on touring and all that good stuff. Excellent, excellent.
Starting point is 00:35:40 We'll look for you. Okay, this has been yet another episode of Star Talk. Neil deGrasse Tyson, as always, bidding you to keep looking up.

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