WEBVTT 1 00:00:08.550 --> 00:00:13.280 Exploring the deep ocean is not easy. It's dark, 2 00:00:13.310 --> 00:00:17.330 it's cold. You can't breathe. The pressure is extremely high. 3 00:00:18.140 --> 00:00:20.480 It's a really hostile environment for humans, 4 00:00:23.810 --> 00:00:25.190 kind of like outer space. 5 00:00:27.260 --> 00:00:30.950 So to learn more about what lives in the ocean and how it affects us, 6 00:00:31.280 --> 00:00:36.200 scientists need special tools like underwater robots. 7 00:00:43.760 --> 00:00:48.110 These tools are designed and built to explore ecosystems and gather information 8 00:00:48.111 --> 00:00:50.570 about marine life and unusual features 9 00:00:53.270 --> 00:00:56.270 like seafloor, hot springs called hydrothermal vents. The images, 10 00:00:59.240 --> 00:01:01.670 videos, and other data they collect help scientists, 11 00:01:01.671 --> 00:01:05.750 understand ocean habitats and how the marine environment changes. 12 00:01:07.820 --> 00:01:11.360 Don't you just love seeing these images coming back from the deep ocean. 13 00:01:11.810 --> 00:01:13.580 These are things we've never seen before. 14 00:01:21.050 --> 00:01:21.883 I'm Debi Blaney, 15 00:01:22.310 --> 00:01:26.600 let's look at these tools and who builds them and how they work and what the 16 00:01:26.601 --> 00:01:28.580 future of ocean exploration may look like. 17 00:01:34.760 --> 00:01:37.640 Today ocean explorers mostly use two kinds of tools, 18 00:01:38.360 --> 00:01:42.410 autonomous underwater vehicles or AUVs that run on battery power. 19 00:01:42.890 --> 00:01:45.230 And they look like torpedoes or little submarines. 20 00:01:47.600 --> 00:01:51.770 They swim through the water for hours and days along a programmed course. 21 00:01:52.310 --> 00:01:56.810 And some can hover like a blimp. Others glide up and down on the ocean currents. 22 00:01:58.670 --> 00:02:02.750 And sometimes AUVs even allow for very interesting encounters. 23 00:02:07.101 --> 00:02:10.280 Scientists use AUVs to map the sea floor and sample the water. 24 00:02:10.820 --> 00:02:13.460 And because they can last for hours or days, 25 00:02:13.880 --> 00:02:17.210 we're able to explore larger parts of the ocean more efficiently. 26 00:02:22.700 --> 00:02:27.260 The second kind of underwater robots it's called remotely operated vehicles 27 00:02:27.470 --> 00:02:28.460 or ROVs. ROVs 28 00:02:31.670 --> 00:02:35.180 Have lights and cameras to help scientists see what's in the water and on the 29 00:02:35.181 --> 00:02:36.014 sea floor, 30 00:02:37.280 --> 00:02:41.300 they send data and video back to the ship with a long flexible cable, 31 00:02:42.140 --> 00:02:44.720 kind of like a huge underwater extension cord. 32 00:02:46.760 --> 00:02:50.990 Many ROVs have mechanical arms to collect samples of plants, 33 00:02:51.200 --> 00:02:54.860 animals, and rocks, and they may be new to science. 34 00:02:55.790 --> 00:02:58.880 Scientists can put different kinds of sensors on ROVs, 35 00:02:59.020 --> 00:03:00.590 depending on they are exploring. 36 00:03:03.540 --> 00:03:07.260 In this Dee-Sea Dialogue series we want to talk to the people who are out in the 37 00:03:07.261 --> 00:03:11.100 field doing this work. Let's talk to Jessica Sandoval. She's an ROV 38 00:03:14.251 --> 00:03:14.790 pilot. 39 00:03:14.790 --> 00:03:17.910 As an ROV Pilot, I work to one kind of mechanically, 40 00:03:17.911 --> 00:03:21.390 electrically maintain these vehicles when they're on the deck. 41 00:03:21.720 --> 00:03:26.460 And when they're in the water to really have a lot of fun flying them 42 00:03:26.670 --> 00:03:30.840 underwater or manipulating using these large robotic arms that we have on board. 43 00:03:30.841 --> 00:03:31.674 Manipulators 44 00:03:34.321 --> 00:03:38.850 were developed for kind of an oil and gas applications initially. Well, 45 00:03:38.851 --> 00:03:43.380 they're very, very strong. They have 500 lbs of grip for some of them. 46 00:03:44.370 --> 00:03:48.390 So some researchers have actually been looking into how to provide maybe 47 00:03:48.391 --> 00:03:52.710 manipulators underwater with delicate grip to make more of 48 00:03:53.290 --> 00:03:55.560 a gentle sample collection. 49 00:03:56.910 --> 00:04:01.440 So not only is an ROV good for getting kind of beautiful shots of an underwater 50 00:04:01.530 --> 00:04:02.640 landscape or seascape, 51 00:04:03.150 --> 00:04:06.600 but it's also useful for taking these really intricate samples. 52 00:04:13.560 --> 00:04:15.300 Jessica, the ROVs you operate are huge! 53 00:04:15.420 --> 00:04:18.120 How do you get them in the water and then fly them underwater? 54 00:04:18.820 --> 00:04:22.920 So in order to launch and recover these vehicles, it really takes a team. 55 00:04:22.950 --> 00:04:27.720 So we have folks on deck that are using cranes or winches 56 00:04:28.130 --> 00:04:31.920 in order to pull these really heavy vehicles and put them in the water or to put 57 00:04:32.850 --> 00:04:33.683 them back on deck. 58 00:04:35.700 --> 00:04:40.650 So these ROVs are quite large for reference think about 59 00:04:40.800 --> 00:04:44.340 a car. Putting a car under water. 60 00:04:44.670 --> 00:04:47.820 It's about the best analogy that you have for, for one of the vehicles. 61 00:04:49.230 --> 00:04:54.060 And so there's really an orchestra of people that it takes to 62 00:04:54.061 --> 00:04:58.980 put these vehicles in the water and recover them safely. For us, 63 00:04:59.340 --> 00:05:03.780 how we fly these large vehicles underwater is it's all kind of dependent on a 64 00:05:03.781 --> 00:05:04.614 buoyancy system. Buoyancy meaning 65 00:05:06.631 --> 00:05:09.360 that you want to make sure the thing kind of floats. 66 00:05:10.230 --> 00:05:12.450 So interesting, Jessica. You have an awesome job, 67 00:05:12.900 --> 00:05:15.240 but the ocean is so vast look tools. 68 00:05:15.241 --> 00:05:17.070 Do you have to find what you're looking for? 69 00:05:17.550 --> 00:05:20.850 And not only do we use an ROV in order to explore the sea floor, 70 00:05:20.880 --> 00:05:23.610 but we also do things such as multibeam, 71 00:05:24.360 --> 00:05:27.300 which is basically scanning the sea floor, using sonar. 72 00:05:27.301 --> 00:05:30.660 Painting a picture of this large landscape. 73 00:05:31.020 --> 00:05:35.100 So we can see features that we couldn't resolve before or didn't know were there 74 00:05:35.100 --> 00:05:35.753 before. That's 75 00:05:37.620 --> 00:05:41.790 the really incredible thing about the multibeam system that we use on ships. 76 00:05:44.640 --> 00:05:49.080 Kind of the future of ocean exploration is having more of an autonomous 77 00:05:49.500 --> 00:05:53.640 setting or having an autonomous vehicle perhaps that is able to maintain a 78 00:05:53.641 --> 00:05:58.580 station and maintain a survey perhaps at one location for a 79 00:05:58.581 --> 00:05:59.480 long period of time. 80 00:06:01.340 --> 00:06:05.000 Now I'm curious, Jessica, do ROVs ever have bad days? Like, 81 00:06:05.030 --> 00:06:06.290 do they break down underwater? 82 00:06:08.240 --> 00:06:11.210 ROVs do definitely experience bad days underwater. 83 00:06:11.720 --> 00:06:14.210 They do break down in a way, 84 00:06:14.211 --> 00:06:18.920 but then that's why we have a large team of ROV pilots and 85 00:06:18.921 --> 00:06:20.000 engineers that can that 86 00:06:21.531 --> 00:06:24.680 are very well trained in repairing them. 87 00:06:25.910 --> 00:06:28.610 Wow, all that sounds so amazing. Thank you, Jessica, 88 00:06:28.611 --> 00:06:31.850 for spending time with us today and good luck on your next expedition. 89 00:06:34.640 --> 00:06:36.380 The ocean is so vast. 90 00:06:36.860 --> 00:06:40.700 It really takes more than one type of tool to explore it as well as many 91 00:06:40.701 --> 00:06:44.960 different backgrounds and skillsets. What we just learned from Jessica, 92 00:06:45.230 --> 00:06:48.350 how she is building tools to use on large ROVs, 93 00:06:49.100 --> 00:06:53.510 Dr. Phillips is focused on something else. He's innovating smaller, 94 00:06:53.570 --> 00:06:54.403 cheaper, 95 00:06:54.410 --> 00:06:59.120 easier to operate tools that may lead to a whole new field of ocean engineering. 96 00:06:59.890 --> 00:07:01.660 As an engineer, as ocean engineers. 97 00:07:01.840 --> 00:07:05.860 We're really starting to question some of the fundamental ways that 98 00:07:07.030 --> 00:07:10.180 tools are made for exploring the deep ocean. When you have a good idea, 99 00:07:10.181 --> 00:07:14.410 you should run with that and not be slowed down as much as possible. 100 00:07:14.411 --> 00:07:16.810 You should be able to try that out and maybe it doesn't work, 101 00:07:17.320 --> 00:07:20.020 throw it against the wall. If it doesn't work, move on to the next, you know, 102 00:07:20.021 --> 00:07:23.800 that sort of iterative process is what we're enabled to do here in my lab. 103 00:07:24.130 --> 00:07:27.970 So tell me, why are you developing these smaller tools to explore the ocean? 104 00:07:28.930 --> 00:07:32.890 The state of the art of deep sea exploration technology, right? Large, 105 00:07:32.950 --> 00:07:35.920 world-class ROVs and submersibles and all that sort of thing. 106 00:07:36.190 --> 00:07:38.740 Those are really on the scale of space programs. I mean, 107 00:07:38.741 --> 00:07:41.830 they're not funded as well, you know, as sending rockets to the moon, 108 00:07:43.030 --> 00:07:44.740 to the international space station, 109 00:07:45.160 --> 00:07:49.030 but they are funded at a scale that really only a handful of countries can 110 00:07:49.031 --> 00:07:52.060 afford. We're coming up with ways to make them ourselves. 111 00:07:52.180 --> 00:07:56.500 Once we figure out these formulas, these recipes for making things ourselves, 112 00:07:56.950 --> 00:07:59.590 it really opens the doors. We can, you know, 113 00:07:59.680 --> 00:08:04.240 rapidly change and augment modify things. And then when it does work, it's new, 114 00:08:04.300 --> 00:08:06.850 whatever we do is totally new to science. 115 00:08:07.630 --> 00:08:09.850 Well, Brennan, I'm really fascinated by your work. 116 00:08:10.210 --> 00:08:13.630 So tell us more about some of the innovative tools you've been working on, 117 00:08:13.720 --> 00:08:15.020 which one are you really proud of? 118 00:08:15.790 --> 00:08:19.360 Really, it's sort of just serendipitous that we live in a time now where, 119 00:08:20.350 --> 00:08:25.330 the capabilities of 3D printing and rapid prototyping are so good that you 120 00:08:25.331 --> 00:08:28.120 can make a lot of your things yourself, you know, 121 00:08:28.121 --> 00:08:30.970 coming at things from a very creative angle of bringing in people that maybe 122 00:08:31.870 --> 00:08:33.340 don't normally work in oceanography. 123 00:08:33.820 --> 00:08:38.590 Really by chance I happened to be a postdoc at the same time, in a lab, 124 00:08:38.700 --> 00:08:42.340 up at Harvard, with an origami roboticist. The idea is that, 125 00:08:42.761 --> 00:08:47.080 you can have a multi-faced geometry that can open and close. Well, 126 00:08:47.081 --> 00:08:51.760 he had this really innovative idea that you could have a folding dodecahedron. 127 00:08:52.210 --> 00:08:53.350 You're showing a prototype working. 128 00:08:53.380 --> 00:08:56.280 That can use one motor that turns a little bit, 129 00:08:56.520 --> 00:08:58.890 and then can completely encapsulate a deep-sea animal. That 130 00:09:01.711 --> 00:09:02.310 worked. 131 00:09:02.310 --> 00:09:05.700 And that was all enabled through somebody who had never worked in oceanography, 132 00:09:05.701 --> 00:09:08.910 talking to somebody like me, who knew how to make things work underwater. Okay. 133 00:09:08.911 --> 00:09:10.110 So we're a good team there. 134 00:09:11.400 --> 00:09:15.480 And then having a really good 3D printer that could rapidly make this geometry, 135 00:09:15.481 --> 00:09:19.050 which is very complex and had to fail a lot. You know, 136 00:09:19.051 --> 00:09:21.960 we went through many iterations before actually coming up with something that 137 00:09:21.990 --> 00:09:24.240 could be at this size and can actually go underwater. 138 00:09:24.630 --> 00:09:27.930 And it's all enabled by the formulas we have in the lab to make this really 139 00:09:27.931 --> 00:09:28.764 unique, 140 00:09:28.950 --> 00:09:31.770 totally new sort of thing that probably other folks thought we couldn't even 141 00:09:31.770 --> 00:09:34.800 make. And I can tell you, we have. 142 00:09:35.570 --> 00:09:39.290 What do you personally think the future of underwater robots looks like? 143 00:09:40.010 --> 00:09:43.940 We're really establishing a new discipline. To be honest, I feel like, 144 00:09:44.180 --> 00:09:47.870 I think we're really entering a new phase, a new sort of approach. 145 00:09:48.380 --> 00:09:51.920 And that takes confidence. You know, you got to learn how to, 146 00:09:52.450 --> 00:09:54.110 you got to learn how to walk before you can run. 147 00:09:54.620 --> 00:09:59.540 And so we are learning how to walk right now with a lot 148 00:09:59.541 --> 00:10:02.270 of these early successes that we have here in the lab. 149 00:10:02.630 --> 00:10:05.450 Then now we can do something like the RAD sampler here, 150 00:10:05.451 --> 00:10:08.000 which I kind of consider we're running now with that, that, that, 151 00:10:08.001 --> 00:10:09.620 that's what it's all about. Um, 152 00:10:09.680 --> 00:10:13.670 who knows what will be five or 10 years from now? Both myself and my peers. 153 00:10:13.671 --> 00:10:15.950 You know, there's, there's the, sky's the limit. 154 00:10:16.220 --> 00:10:19.850 It sounds like you and Jessica are really putting together the unexplored 155 00:10:19.880 --> 00:10:22.760 puzzle. That is our ocean and creating a clearer picture of it. New 156 00:10:25.191 --> 00:10:29.090 technologies and the people who are designing them are making robots more 157 00:10:29.091 --> 00:10:34.070 nimble, easier to build and able to explore more remote parts of our ocean. And 158 00:10:37.041 --> 00:10:39.890 someday, maybe oceans on other planets. 159 00:10:43.160 --> 00:10:45.350 What do you want to know about the ocean? 160 00:10:45.740 --> 00:10:47.930 Maybe a robot will bring back the answer soon.