1 00:00:03,470 --> 00:00:02,149 NASA's jet propulsion laboratory 2 00:00:06,470 --> 00:00:03,480 presents 3 00:00:08,509 --> 00:00:06,480 the Von Carmen lecture a series of Talks 4 00:00:11,270 --> 00:00:08,519 by scientists and Engineers who are 5 00:00:13,310 --> 00:00:11,280 exploring our planet our solar system 6 00:00:20,450 --> 00:00:13,320 and all that lies Beyond 7 00:00:22,790 --> 00:00:20,460 [Music] 8 00:00:24,710 --> 00:00:22,800 hello everyone and a very pleasant good 9 00:00:26,630 --> 00:00:24,720 evening to you wherever you may be I am 10 00:00:29,089 --> 00:00:26,640 Brian White from jpl's Office of 11 00:00:31,189 --> 00:00:29,099 communications and educations and 12 00:00:33,110 --> 00:00:31,199 welcome to the Von Carmen series it has 13 00:00:35,750 --> 00:00:33,120 been a pleasure and an honor to bring 14 00:00:37,490 --> 00:00:35,760 these talks to you in the 1930s a group 15 00:00:39,590 --> 00:00:37,500 of amateur rocket enthusiasts nicknamed 16 00:00:41,990 --> 00:00:39,600 The Suicide Squad essentially founded 17 00:00:44,209 --> 00:00:42,000 NASA's jet propulsion laboratory their 18 00:00:45,170 --> 00:00:44,219 goal was to do the impossible to reach 19 00:00:47,270 --> 00:00:45,180 Beyond 20 00:00:48,889 --> 00:00:47,280 JPL today is the leading Center for 21 00:00:51,290 --> 00:00:48,899 robotic exploration of the solar system 22 00:00:53,630 --> 00:00:51,300 daily region for that Beyond and making 23 00:00:55,130 --> 00:00:53,640 it possible from landing on Mars to 24 00:00:57,650 --> 00:00:55,140 visiting every planet in the solar 25 00:00:59,630 --> 00:00:57,660 system to voyager's faint whisperings at 26 00:01:01,910 --> 00:00:59,640 the edge of the solar system 27 00:01:05,090 --> 00:01:01,920 the JPL model taken from the man in the 28 00:01:06,289 --> 00:01:05,100 arena speech is dare Mighty things I am 29 00:01:07,910 --> 00:01:06,299 grateful there are these amazing human 30 00:01:10,730 --> 00:01:07,920 beings that dare these mightiest of 31 00:01:12,230 --> 00:01:10,740 things and create the next tonight we'll 32 00:01:14,210 --> 00:01:12,240 talk with one of our robotic Mobility 33 00:01:15,770 --> 00:01:14,220 Engineers about the importance of 34 00:01:18,649 --> 00:01:15,780 autonomy in these groundbreaking 35 00:01:21,590 --> 00:01:18,659 missions and how they help us with the 36 00:01:22,969 --> 00:01:21,600 ever-present question of what's next and 37 00:01:24,649 --> 00:01:22,979 before we go any further I'd like to 38 00:01:26,390 --> 00:01:24,659 introduce our questions co-host for this 39 00:01:29,149 --> 00:01:26,400 evening she is the lead producer for the 40 00:01:30,530 --> 00:01:29,159 studio here at JPL please welcome Rachel 41 00:01:33,530 --> 00:01:30,540 Etheridge 42 00:01:36,710 --> 00:01:33,540 hi Rachel thank you hi 43 00:01:39,950 --> 00:01:36,720 much Brian and hi everybody out there 44 00:01:46,550 --> 00:01:43,850 I this is your space program we want you 45 00:01:48,590 --> 00:01:46,560 to be involved with this conversation so 46 00:01:52,249 --> 00:01:48,600 whether you're watching on YouTube or 47 00:01:55,190 --> 00:01:52,259 Facebook live or LinkedIn ask questions 48 00:01:58,730 --> 00:01:55,200 in the chat box and our social media 49 00:02:01,010 --> 00:01:58,740 team who are at the ready will bring in 50 00:02:03,350 --> 00:02:01,020 as many as we can in our talk tonight 51 00:02:05,749 --> 00:02:03,360 and if you don't see the chat box just 52 00:02:09,169 --> 00:02:05,759 reload your page and it should be right 53 00:02:11,449 --> 00:02:09,179 there on a more personal note Hiro and I 54 00:02:13,729 --> 00:02:11,459 have been working closely together for 55 00:02:15,890 --> 00:02:13,739 over two years now and I'm just so 56 00:02:18,110 --> 00:02:15,900 excited to be able to bring your 57 00:02:21,350 --> 00:02:18,120 questions to a hero who's our speaker 58 00:02:24,110 --> 00:02:21,360 tonight back to you Brian 59 00:02:26,150 --> 00:02:24,120 thank you very much Rachel and that's a 60 00:02:27,650 --> 00:02:26,160 pretty good intro we're going to get 61 00:02:30,949 --> 00:02:27,660 into his bio as we go through the story 62 00:02:32,770 --> 00:02:30,959 but please welcome Dr Hiro Ono hi hero 63 00:02:36,110 --> 00:02:32,780 hello 64 00:02:38,809 --> 00:02:36,120 Ryan how's it going and hi Rachel 65 00:02:40,670 --> 00:02:38,819 it's going wonderfully let's let's just 66 00:02:41,990 --> 00:02:40,680 Dive Right In because when we're talking 67 00:02:43,790 --> 00:02:42,000 about the future we're talking about 68 00:02:46,550 --> 00:02:43,800 what's next we got to talk about where 69 00:02:47,990 --> 00:02:46,560 we came from right so here are tell me 70 00:02:49,490 --> 00:02:48,000 how you got here tell me how you ended 71 00:02:52,910 --> 00:02:49,500 up working at JPL 72 00:02:55,550 --> 00:02:52,920 yeah it's a long story but that stars 73 00:02:57,949 --> 00:02:55,560 when I was five years old you know my 74 00:02:59,750 --> 00:02:57,959 father was basically a space geek you 75 00:03:02,330 --> 00:02:59,760 know so you know if you ring at the 76 00:03:05,470 --> 00:03:02,340 first slide you know he bought me this 77 00:03:08,390 --> 00:03:05,480 telescope when I was five and we spend 78 00:03:09,170 --> 00:03:08,400 many many hours right 79 00:03:11,330 --> 00:03:09,180 um 80 00:03:13,070 --> 00:03:11,340 you know to look at stars look at 81 00:03:16,369 --> 00:03:13,080 planets look at the Moon bring up a 82 00:03:21,110 --> 00:03:16,379 Saturn you know that 83 00:03:24,170 --> 00:03:21,120 and then when I was six years old 84 00:03:27,649 --> 00:03:24,180 this spacecraft called Voyager 2. when 85 00:03:30,530 --> 00:03:27,659 the Neptune there was a 1989. 86 00:03:33,649 --> 00:03:30,540 maybe uh some of the listeners are 87 00:03:37,369 --> 00:03:33,659 still remember that was a sensational 88 00:03:39,470 --> 00:03:37,379 you know news to me to my father we 89 00:03:41,990 --> 00:03:39,480 again spend a lot of hours in for the TV 90 00:03:43,130 --> 00:03:42,000 you know looking at you know watching 91 00:03:46,130 --> 00:03:43,140 the news 92 00:03:48,050 --> 00:03:46,140 following what's going on and you know 93 00:03:50,570 --> 00:03:48,060 um I remember 94 00:03:53,930 --> 00:03:50,580 one thing that my father told me right 95 00:03:57,430 --> 00:03:53,940 now you know when watching about Voyager 96 00:03:59,630 --> 00:03:57,440 if you you know shrink the solar system 97 00:04:03,530 --> 00:03:59,640 you know 98 00:04:06,009 --> 00:04:03,540 so that the Earth is the size of this 99 00:04:09,830 --> 00:04:06,019 tiny marble ball you know 100 00:04:12,530 --> 00:04:09,840 then how far you think the Neptune would 101 00:04:17,270 --> 00:04:15,530 three miles oh of course you know I grew 102 00:04:19,909 --> 00:04:17,280 up in Tokyo Japan where my accent comes 103 00:04:22,490 --> 00:04:19,919 from so he didn't say three miles he 104 00:04:24,409 --> 00:04:22,500 said five kilometers but anyways can you 105 00:04:27,490 --> 00:04:24,419 imagine you know imagine that this Earth 106 00:04:30,710 --> 00:04:27,500 is you know this tiny marble ball right 107 00:04:32,810 --> 00:04:30,720 and then this spacecraft 108 00:04:35,629 --> 00:04:32,820 flew like you know all the way through 109 00:04:37,790 --> 00:04:35,639 across the solar system spending 12 110 00:04:39,890 --> 00:04:37,800 years to get there or reach to this 111 00:04:41,810 --> 00:04:39,900 beautiful blue planet and send pictures 112 00:04:45,170 --> 00:04:41,820 back 113 00:04:47,270 --> 00:04:45,180 you know this is so amazing and you know 114 00:04:52,249 --> 00:04:47,280 somehow I've heard that this spacecraft 115 00:04:54,530 --> 00:04:52,259 was created by this place called JPL so 116 00:04:56,210 --> 00:04:54,540 you know since then I thought uh you 117 00:04:58,430 --> 00:04:56,220 know when I grow up I wanna 118 00:05:01,070 --> 00:04:58,440 build a spacecraft like Voyager you know 119 00:05:03,290 --> 00:05:01,080 JBL has been a dream twist since then 120 00:05:07,370 --> 00:05:03,300 and 24 years later 121 00:05:09,770 --> 00:05:07,380 you know luckily I arrived at my 122 00:05:12,469 --> 00:05:09,780 childhood dream place and here I am 123 00:05:15,770 --> 00:05:12,479 so if this is your dream place 124 00:05:17,510 --> 00:05:15,780 um how did you get doing we've talked 125 00:05:19,909 --> 00:05:17,520 kind of leading up to this about how you 126 00:05:21,230 --> 00:05:19,919 get to do your dream job every day how 127 00:05:22,790 --> 00:05:21,240 do you how did you get interested in 128 00:05:25,730 --> 00:05:22,800 autonomy how did you get interested in 129 00:05:28,370 --> 00:05:25,740 this specific part of it yeah that's 130 00:05:29,210 --> 00:05:28,380 more like you know maybe there's there's 131 00:05:31,850 --> 00:05:29,220 not 132 00:05:33,950 --> 00:05:31,860 singular point but maybe you know one 133 00:05:36,710 --> 00:05:33,960 turning point was that you know when I 134 00:05:38,990 --> 00:05:36,720 was 12 my father gave me this you know 135 00:05:42,710 --> 00:05:39,000 second hand laptop you know she worked 136 00:05:44,450 --> 00:05:42,720 for Toshiba uh so that was for shivas I 137 00:05:47,029 --> 00:05:44,460 forgot the model number but that's the 138 00:05:49,310 --> 00:05:47,039 one before window so there's no windows 139 00:05:52,270 --> 00:05:49,320 Macintosh everything is in command line 140 00:05:56,029 --> 00:05:52,280 so I got his second hand laptop and he 141 00:05:58,850 --> 00:05:56,039 you know also gave me this book about c 142 00:06:01,610 --> 00:05:58,860 c language program language and somehow 143 00:06:03,290 --> 00:06:01,620 I got into it you know you type in 144 00:06:05,689 --> 00:06:03,300 command you know you make the program 145 00:06:08,570 --> 00:06:05,699 and then computer moves as I instructed 146 00:06:10,189 --> 00:06:08,580 you know so that was my first time you 147 00:06:12,290 --> 00:06:10,199 know what I did that time was basically 148 00:06:14,210 --> 00:06:12,300 creating games right 149 00:06:19,070 --> 00:06:14,220 that's all kids do when speaking of 150 00:06:22,909 --> 00:06:19,080 programs but then you know uh yeah as I 151 00:06:25,249 --> 00:06:22,919 you know go to college grad school I I 152 00:06:27,409 --> 00:06:25,259 found my passion to you know this 153 00:06:30,529 --> 00:06:27,419 machine intelligence so 154 00:06:32,390 --> 00:06:30,539 that's that's how I come to each other 155 00:06:35,510 --> 00:06:32,400 so you're interested in programming 156 00:06:38,210 --> 00:06:35,520 let's talk about why let's combine new 157 00:06:39,590 --> 00:06:38,220 and the amazing person that you are and 158 00:06:42,110 --> 00:06:39,600 the amazing thing that they're doing 159 00:06:43,730 --> 00:06:42,120 here at JPL why is this important to 160 00:06:45,890 --> 00:06:43,740 exploration 161 00:06:49,010 --> 00:06:45,900 yeah you know 162 00:06:51,770 --> 00:06:49,020 think about who are the best explorers 163 00:06:55,189 --> 00:06:51,780 on Earth 164 00:06:58,189 --> 00:06:55,199 it's humans right human beings because 165 00:07:00,529 --> 00:06:58,199 we topped the highest mountain we Dove 166 00:07:03,830 --> 00:07:00,539 to the deepest part of the ocean we flew 167 00:07:09,529 --> 00:07:03,840 the sky we even went to the moon but you 168 00:07:10,730 --> 00:07:09,539 know what makes humans the best Explorer 169 00:07:13,909 --> 00:07:10,740 right 170 00:07:16,010 --> 00:07:13,919 it's we are not the species that can run 171 00:07:19,790 --> 00:07:16,020 fastest you know we are not a species 172 00:07:21,650 --> 00:07:19,800 that can you know swim you know fly you 173 00:07:24,290 --> 00:07:21,660 know it's not the physical capability 174 00:07:26,809 --> 00:07:24,300 it's the intelligence right it's our 175 00:07:29,990 --> 00:07:26,819 intelligence that makes us the best 176 00:07:32,270 --> 00:07:30,000 Explorer so now you know we we want to 177 00:07:33,830 --> 00:07:32,280 make the robotic Explorer of course you 178 00:07:35,809 --> 00:07:33,840 know our robot has to be physically 179 00:07:37,550 --> 00:07:35,819 capable to go through the space you know 180 00:07:39,589 --> 00:07:37,560 um it has to survive the environment for 181 00:07:42,830 --> 00:07:39,599 sure but 182 00:07:45,469 --> 00:07:42,840 that's not all right you know we 183 00:07:47,150 --> 00:07:45,479 eventually want to explore you know what 184 00:07:48,409 --> 00:07:47,160 want the robots to explore the space 185 00:07:51,170 --> 00:07:48,419 like us 186 00:07:52,909 --> 00:07:51,180 so therefore we need intelligence for 187 00:07:54,710 --> 00:07:52,919 those robots 188 00:07:56,510 --> 00:07:54,720 well let's talk about that intelligence 189 00:07:58,850 --> 00:07:56,520 I mean it sounds science fiction when 190 00:08:00,950 --> 00:07:58,860 you when you use the phrase intelligence 191 00:08:03,589 --> 00:08:00,960 I mean is this becoming real is this 192 00:08:06,170 --> 00:08:03,599 becoming new what's going on here yeah 193 00:08:08,150 --> 00:08:06,180 right it may sound scary right but 194 00:08:10,070 --> 00:08:08,160 actually you know 195 00:08:13,129 --> 00:08:10,080 um 196 00:08:15,589 --> 00:08:13,139 almost oh maybe all spacecrafts that 197 00:08:16,430 --> 00:08:15,599 flown before are moral is autonomous 198 00:08:18,230 --> 00:08:16,440 right 199 00:08:19,790 --> 00:08:18,240 um so you know if you open up the slide 200 00:08:22,430 --> 00:08:19,800 three I believe 201 00:08:25,189 --> 00:08:22,440 um yeah there you go the interesting 202 00:08:29,390 --> 00:08:25,199 fact is that the very first spacecraft 203 00:08:32,630 --> 00:08:29,400 that we launched were fully autonomous 204 00:08:35,810 --> 00:08:32,640 you know examples are our very first 205 00:08:37,990 --> 00:08:35,820 spacecraft the American first spacecraft 206 00:08:41,269 --> 00:08:38,000 um Explorer one 207 00:08:43,130 --> 00:08:41,279 and explore four is the one with you 208 00:08:45,290 --> 00:08:43,140 know kind of pencil shaped one actually 209 00:08:47,570 --> 00:08:45,300 can you move to the next slide this is 210 00:08:50,990 --> 00:08:47,580 an interesting one actually and this was 211 00:08:53,509 --> 00:08:51,000 the very first probe that went to the 212 00:08:56,269 --> 00:08:53,519 moon and its mission was to you know 213 00:08:58,190 --> 00:08:56,279 take a single photo of the Moon but you 214 00:09:00,110 --> 00:08:58,200 know around that time there's no 215 00:09:02,750 --> 00:09:00,120 computer on board right there's even no 216 00:09:05,389 --> 00:09:02,760 receivers meaning that we cannot send 217 00:09:07,070 --> 00:09:05,399 any commands once you launch it the only 218 00:09:09,050 --> 00:09:07,080 thing we can do on the ground is to keep 219 00:09:11,750 --> 00:09:09,060 receiving the signal from it 220 00:09:13,009 --> 00:09:11,760 so how does it work how did they plan to 221 00:09:16,250 --> 00:09:13,019 take a photo of the Moon with the 222 00:09:18,230 --> 00:09:16,260 spacecraft right they have a sensor that 223 00:09:20,110 --> 00:09:18,240 you know catches the moon's light so 224 00:09:24,009 --> 00:09:20,120 basically it reacts to the Moonlight 225 00:09:27,110 --> 00:09:24,019 romantic okay then you know um act based 226 00:09:27,850 --> 00:09:27,120 you know uh the photo uh resistor or 227 00:09:30,170 --> 00:09:27,860 something 228 00:09:32,389 --> 00:09:30,180 which would still go well but you know 229 00:09:35,449 --> 00:09:32,399 that was the you know fully autonomous 230 00:09:38,030 --> 00:09:35,459 and possibly dumb spacecraft you know 231 00:09:40,090 --> 00:09:38,040 way before and then can you move back to 232 00:09:45,250 --> 00:09:40,100 slide three 233 00:09:47,930 --> 00:09:45,260 around early 1960s there's a revolution 234 00:09:50,090 --> 00:09:47,940 caused by digital computer there was the 235 00:09:52,610 --> 00:09:50,100 time when digital computer was available 236 00:09:54,889 --> 00:09:52,620 for spacecraft for the first time around 237 00:09:58,850 --> 00:09:54,899 the time Apollo 238 00:10:00,590 --> 00:09:58,860 so now with the onboard computer 239 00:10:03,370 --> 00:10:00,600 combined with receiver 240 00:10:07,190 --> 00:10:03,380 we can first you know 241 00:10:08,870 --> 00:10:07,200 become capable to send commands to the 242 00:10:11,630 --> 00:10:08,880 space that has already been launched 243 00:10:13,730 --> 00:10:11,640 before right so this is this is 244 00:10:16,910 --> 00:10:13,740 revolutionary because split scratch was 245 00:10:19,250 --> 00:10:16,920 still dumb but we can now we become 246 00:10:22,730 --> 00:10:19,260 capable of projecting our intelligence 247 00:10:26,449 --> 00:10:22,740 right to space basically you know making 248 00:10:30,350 --> 00:10:26,459 the spacecrafts our Avatar right so 249 00:10:32,810 --> 00:10:30,360 that enabled us to do much more complex 250 00:10:35,030 --> 00:10:32,820 exploration and there was a time you 251 00:10:36,290 --> 00:10:35,040 know when Voyager was there but still 252 00:10:37,150 --> 00:10:36,300 you know 253 00:10:39,829 --> 00:10:37,160 um 254 00:10:43,070 --> 00:10:39,839 like Voyager has its own onboard 255 00:10:45,410 --> 00:10:43,080 autonomy uh the example was that you 256 00:10:48,530 --> 00:10:45,420 know when Voyager 2 was launched right 257 00:10:50,810 --> 00:10:48,540 after that one of the receivers dead so 258 00:10:53,269 --> 00:10:50,820 on board algorithm you know was pretty 259 00:10:56,810 --> 00:10:53,279 simple if then rule but it switched back 260 00:10:58,730 --> 00:10:56,820 to switch to the backup receiver which 261 00:11:00,350 --> 00:10:58,740 saved the spacecraft and you know the 262 00:11:02,509 --> 00:11:00,360 Voyager so it's still flying on the back 263 00:11:03,889 --> 00:11:02,519 of receiver for 45 years which is 264 00:11:05,449 --> 00:11:03,899 amazing 265 00:11:07,850 --> 00:11:05,459 pretty grateful to hear that as I'm 266 00:11:10,310 --> 00:11:07,860 wearing my Voyager 45 year pin right 267 00:11:12,110 --> 00:11:10,320 here oh yeah so we're talking about 268 00:11:14,569 --> 00:11:12,120 Voyager we're talking about 269 00:11:16,009 --> 00:11:14,579 I mean where are we now with autonomy I 270 00:11:17,329 --> 00:11:16,019 mean that's an amazing chart but where 271 00:11:21,350 --> 00:11:17,339 are we today 272 00:11:23,990 --> 00:11:21,360 exactly so I you know this chart is kind 273 00:11:26,470 --> 00:11:24,000 of the rough sketch but we see the the 274 00:11:30,130 --> 00:11:26,480 the the trend is inversed you know 275 00:11:33,889 --> 00:11:30,140 invert there now we observe the The 276 00:11:37,310 --> 00:11:33,899 increased level of autonomy again you 277 00:11:38,990 --> 00:11:37,320 know and probably the perseverance robot 278 00:11:41,090 --> 00:11:39,000 you know the Mars rover that landed on 279 00:11:42,470 --> 00:11:41,100 Mars like two years ago or so but I 280 00:11:44,389 --> 00:11:42,480 think it's just it's just a little bit 281 00:11:47,090 --> 00:11:44,399 more than two years right um 282 00:11:49,850 --> 00:11:47,100 I think that's the that's one of the 283 00:11:52,370 --> 00:11:49,860 smartest spacecrafts that uh ever flown 284 00:11:54,590 --> 00:11:52,380 through the world is so far 285 00:11:58,430 --> 00:11:54,600 um let's go to slide 286 00:12:02,150 --> 00:11:58,440 five uh there are few notable 287 00:12:05,810 --> 00:12:02,160 capabilities but one of them that I was 288 00:12:08,449 --> 00:12:05,820 deeply involved was automous driving 289 00:12:10,690 --> 00:12:08,459 you know these days uh you know the cars 290 00:12:13,069 --> 00:12:10,700 uh on Earth start driving 291 00:12:15,290 --> 00:12:13,079 semi-automously but you know the fun 292 00:12:18,350 --> 00:12:15,300 fact is that we've been driving on Mars 293 00:12:22,250 --> 00:12:18,360 autonomously at least in part since uh I 294 00:12:25,130 --> 00:12:22,260 think 15 years ago or so uh but for this 295 00:12:28,130 --> 00:12:25,140 Mission the prosperous transmission we 296 00:12:30,949 --> 00:12:28,140 knew that that we need to substantially 297 00:12:33,829 --> 00:12:30,959 extend enhance the capability of almost 298 00:12:36,829 --> 00:12:33,839 driving to achieve its goal so you know 299 00:12:37,910 --> 00:12:36,839 that's one of my contributions to this 300 00:12:39,530 --> 00:12:37,920 Mission 301 00:12:41,509 --> 00:12:39,540 um this map 302 00:12:45,050 --> 00:12:41,519 it's that you know basically a Drive map 303 00:12:50,090 --> 00:12:45,060 of perseverance we landed on the place 304 00:12:53,389 --> 00:12:50,100 called Jesus crater which uh was a lake 305 00:12:55,610 --> 00:12:53,399 lake with water you know some I guess 306 00:12:59,210 --> 00:12:55,620 four billion years ago or so therefore 307 00:13:02,810 --> 00:12:59,220 some scientists suspect that we 308 00:13:05,449 --> 00:13:02,820 might be able to find the you know the 309 00:13:08,030 --> 00:13:05,459 evidence of the past life that might 310 00:13:10,069 --> 00:13:08,040 have existed on Mars here in this place 311 00:13:12,190 --> 00:13:10,079 anyways so 312 00:13:15,069 --> 00:13:12,200 we landed at 313 00:13:17,930 --> 00:13:15,079 the place where this arrow is pointing 314 00:13:20,690 --> 00:13:17,940 and we first have moved to the South 315 00:13:23,629 --> 00:13:20,700 moved a bit to the west and you know 316 00:13:26,750 --> 00:13:23,639 took few samples we've moved back to The 317 00:13:30,410 --> 00:13:26,760 Landing site and then you know uh drove 318 00:13:34,009 --> 00:13:30,420 kind of counterclockwise to a a go 319 00:13:34,970 --> 00:13:34,019 towards the north uh West Direction 320 00:13:36,590 --> 00:13:34,980 um 321 00:13:38,629 --> 00:13:36,600 each thought 322 00:13:41,690 --> 00:13:38,639 on this map represents the position of 323 00:13:43,610 --> 00:13:41,700 the robot for each Soul version day and 324 00:13:45,110 --> 00:13:43,620 note that at the beginning you know 325 00:13:47,269 --> 00:13:45,120 these thoughts are pretty dense right 326 00:13:50,210 --> 00:13:47,279 meaning that the robot was driving 327 00:13:53,470 --> 00:13:50,220 pretty slowly after we came back to The 328 00:13:56,150 --> 00:13:53,480 Landing site and then you know 329 00:13:58,310 --> 00:13:56,160 observed that it start is very sparse 330 00:14:00,590 --> 00:13:58,320 meaning that drive the war was driving 331 00:14:03,170 --> 00:14:00,600 pretty quickly around that time robots 332 00:14:06,829 --> 00:14:03,180 Rob around 200 meters per Merchant day 333 00:14:08,930 --> 00:14:06,839 or which is about you know 100 and I 334 00:14:11,470 --> 00:14:08,940 don't know I'm I'm a good at conversion 335 00:14:13,790 --> 00:14:11,480 between meat and feet 336 00:14:15,110 --> 00:14:13,800 you're working for now you could work in 337 00:14:17,030 --> 00:14:15,120 the metric you don't have to do it the 338 00:14:17,690 --> 00:14:17,040 other way exactly right 339 00:14:20,449 --> 00:14:17,700 um 340 00:14:24,350 --> 00:14:20,459 anyway so that was the time when we 341 00:14:26,690 --> 00:14:24,360 called drive drive campaign we fully 342 00:14:30,230 --> 00:14:26,700 utilized this uh you know enhanced 343 00:14:33,530 --> 00:14:30,240 alternative capability to push your 344 00:14:36,490 --> 00:14:33,540 limits to uh to drive as as fast as 345 00:14:40,069 --> 00:14:36,500 possible and uh 346 00:14:42,170 --> 00:14:40,079 around that time you know uh um we yeah 347 00:14:46,730 --> 00:14:42,180 as I said that we drove around the 200 348 00:14:49,129 --> 00:14:46,740 meters per Soul uh we up till now we 349 00:14:53,810 --> 00:14:49,139 drove about 60 percent of the distance 350 00:14:56,030 --> 00:14:53,820 uh obviously and uh just a few few weeks 351 00:14:58,930 --> 00:14:56,040 ago we again brought the recording of 352 00:15:02,329 --> 00:14:58,940 the driving distance per plan that was 353 00:15:05,090 --> 00:15:02,339 655 meters so we were very happy about 354 00:15:06,410 --> 00:15:05,100 how how much these are new although on 355 00:15:08,930 --> 00:15:06,420 the capability you know pushed 356 00:15:11,569 --> 00:15:08,940 apparently of driving on Mars 357 00:15:14,269 --> 00:15:11,579 Let's uh let's look at the uh movie on 358 00:15:21,290 --> 00:15:16,970 yeah this was a time uh five years ago 359 00:15:24,710 --> 00:15:21,300 you know uh when we worked on the 360 00:15:26,810 --> 00:15:24,720 development of the alternative we this 361 00:15:30,949 --> 00:15:26,820 is a place called Mars yard 362 00:15:33,590 --> 00:15:30,959 um when you know we test these things uh 363 00:15:36,110 --> 00:15:33,600 regularly uh 364 00:15:38,210 --> 00:15:36,120 summer of 2018 was the hottest summer 365 00:15:40,910 --> 00:15:38,220 for us I spent the hundreds of hours 366 00:15:44,329 --> 00:15:40,920 with my colleagues I'll leave you to pad 367 00:15:46,009 --> 00:15:44,339 titled system Michael Henry mark my mom 368 00:15:49,850 --> 00:15:46,019 to you know 369 00:15:52,670 --> 00:15:49,860 um test them you know fix the bag you 370 00:15:52,680 --> 00:15:57,110 can you go next please 371 00:16:05,509 --> 00:16:02,210 and then this is not Mars yard on ours 372 00:16:06,430 --> 00:16:05,519 this is real Mars This is the 373 00:16:11,930 --> 00:16:06,440 um 374 00:16:15,110 --> 00:16:11,940 uh real movie uh came out from Seoul 360 375 00:16:19,370 --> 00:16:15,120 drive that was I think about again 200 376 00:16:21,829 --> 00:16:19,380 meter Drive uh yes we are driving 377 00:16:23,870 --> 00:16:21,839 very nicely 378 00:16:27,829 --> 00:16:23,880 and I think there's one more slide about 379 00:16:34,610 --> 00:16:31,790 yeah so this is the 3D reconstruction of 380 00:16:38,389 --> 00:16:34,620 from the driving data I fought for we 381 00:16:41,810 --> 00:16:38,399 saw yes so yeah you know autonomy is 382 00:16:42,949 --> 00:16:41,820 helping Mars robot to drive faster and 383 00:16:46,490 --> 00:16:42,959 further 384 00:16:49,810 --> 00:16:46,500 another thing to note is that autonomy 385 00:16:52,730 --> 00:16:49,820 also helped landing on Mars 386 00:16:55,249 --> 00:16:52,740 which was the kirability called trm 387 00:16:57,350 --> 00:16:55,259 terrain relative navigation which I was 388 00:16:59,930 --> 00:16:57,360 not involved but you know that's 389 00:17:03,050 --> 00:16:59,940 basically ability to allow us to you 390 00:17:05,750 --> 00:17:03,060 know land uh avoid the dangerous Landing 391 00:17:09,470 --> 00:17:05,760 site and you know land on a safe place 392 00:17:11,929 --> 00:17:09,480 so yes autonomy you know means a lot for 393 00:17:14,210 --> 00:17:11,939 for the smart smartphone machine so 394 00:17:15,530 --> 00:17:14,220 autonomy is huge for right now it's huge 395 00:17:19,010 --> 00:17:15,540 for these missions that we're working on 396 00:17:20,510 --> 00:17:19,020 at this moment something that these VK 397 00:17:22,669 --> 00:17:20,520 talks that we've tried to do is also 398 00:17:26,569 --> 00:17:22,679 remind people of the human element 399 00:17:27,890 --> 00:17:26,579 behind Robotics and autonomy this is a 400 00:17:29,810 --> 00:17:27,900 special mission for you in particular 401 00:17:32,990 --> 00:17:29,820 right the Mars 2020 mission 402 00:17:36,350 --> 00:17:33,000 yeah there was a uh quite a bit of a 403 00:17:38,930 --> 00:17:36,360 personal story again 404 00:17:41,270 --> 00:17:38,940 um you know since Voyager of course I 405 00:17:43,310 --> 00:17:41,280 you know took a close watch on all the 406 00:17:45,490 --> 00:17:43,320 uh you know NASA JP open tradition right 407 00:17:50,330 --> 00:17:45,500 imagine 408 00:17:51,770 --> 00:17:50,340 and uh in 1997 that that's when I was 14 409 00:17:54,110 --> 00:17:51,780 years old I believe 410 00:17:55,490 --> 00:17:54,120 the most Pathfinder the little Mars 411 00:17:58,010 --> 00:17:55,500 right um 412 00:18:01,250 --> 00:17:58,020 that was the first landing of Mars since 413 00:18:05,750 --> 00:18:01,260 Viking first Mars Landing that they've 414 00:18:07,549 --> 00:18:05,760 seen and so I was done on TV 415 00:18:08,990 --> 00:18:07,559 um you know there was this seven myths 416 00:18:10,909 --> 00:18:09,000 of Terror you know the seven minutes 417 00:18:13,610 --> 00:18:10,919 right before the landing where you can 418 00:18:15,289 --> 00:18:13,620 not talk to spacecraft so the only thing 419 00:18:16,190 --> 00:18:15,299 that the people on the ground can do is 420 00:18:18,770 --> 00:18:16,200 to wait 421 00:18:20,870 --> 00:18:18,780 so you know uh people waited right 422 00:18:23,950 --> 00:18:20,880 anxiously right you know hey what's 423 00:18:30,230 --> 00:18:28,490 did it go well and the moment you know 424 00:18:33,770 --> 00:18:30,240 they 425 00:18:36,590 --> 00:18:33,780 heard from the Pathfinder the 426 00:18:38,450 --> 00:18:36,600 confirmation signal of Landing these 427 00:18:40,190 --> 00:18:38,460 people can immediately jumped around 428 00:18:42,350 --> 00:18:40,200 right you know jumped around and hearing 429 00:18:44,690 --> 00:18:42,360 around and you know someone even cried 430 00:18:47,570 --> 00:18:44,700 hugging each other right 431 00:18:50,350 --> 00:18:47,580 um so I was like wow you know I've never 432 00:18:53,990 --> 00:18:50,360 seen grown-ups you know 433 00:18:55,190 --> 00:18:54,000 jumping like kids like that wow that's 434 00:18:57,049 --> 00:18:55,200 something that I want to see in the 435 00:19:00,289 --> 00:18:57,059 future 436 00:19:01,909 --> 00:19:00,299 um and then um yeah actually yeah I I 437 00:19:03,770 --> 00:19:01,919 think we have a slide 438 00:19:05,990 --> 00:19:03,780 um which is site nine 439 00:19:08,270 --> 00:19:06,000 can you move there yeah there you go 440 00:19:10,130 --> 00:19:08,280 that was curiosity but then you know the 441 00:19:12,710 --> 00:19:10,140 the next one was spirit and opportunity 442 00:19:13,610 --> 00:19:12,720 that was 2004 so I was a junior in 443 00:19:16,850 --> 00:19:13,620 college 444 00:19:19,370 --> 00:19:16,860 this happened again right so okay I 445 00:19:23,510 --> 00:19:19,380 thought I'm gonna joined them so after 446 00:19:27,110 --> 00:19:23,520 my college I came to the U.S for 447 00:19:28,970 --> 00:19:27,120 graduate school and got PhD and I 448 00:19:32,750 --> 00:19:28,980 thought the time is ripe so I know if 449 00:19:35,270 --> 00:19:32,760 the door of JPL either with you know 450 00:19:37,070 --> 00:19:35,280 but I didn't get offer that time 451 00:19:39,590 --> 00:19:37,080 um so you know I I was kind of 452 00:19:42,950 --> 00:19:39,600 brokenhearted I went back to Japan and I 453 00:19:46,909 --> 00:19:42,960 got a a university job over there that 454 00:19:49,610 --> 00:19:46,919 was 2012. that was when curiosity landed 455 00:19:53,029 --> 00:19:49,620 on Mars so you know yeah this picture 456 00:19:55,730 --> 00:19:53,039 was from Curiosity I watched it you know 457 00:19:58,730 --> 00:19:55,740 I watched the uh the webcast on my 458 00:19:59,810 --> 00:19:58,740 laptop in the school cafeteria and I was 459 00:20:02,330 --> 00:19:59,820 like you know 460 00:20:04,789 --> 00:20:02,340 what what I'm doing here right I thought 461 00:20:06,289 --> 00:20:04,799 I was going to join them but you know 462 00:20:08,390 --> 00:20:06,299 I'm still on the other side of the 463 00:20:11,930 --> 00:20:08,400 screen so yeah 464 00:20:14,870 --> 00:20:11,940 yeah but then you know luckily for uh 465 00:20:16,789 --> 00:20:14,880 thanks to a few lucky turns of events I 466 00:20:18,950 --> 00:20:16,799 got a second chance and you know I 467 00:20:21,770 --> 00:20:18,960 interviewed with jpo again that time I 468 00:20:25,490 --> 00:20:21,780 finally you know I got an offer so 469 00:20:28,490 --> 00:20:25,500 that was again 24 years after Voyager 470 00:20:30,770 --> 00:20:28,500 two so you know after I joined JPL I 471 00:20:35,330 --> 00:20:30,780 worked on Mars 2020 mission 472 00:20:37,610 --> 00:20:35,340 on many aspects and you know uh a few 473 00:20:39,950 --> 00:20:37,620 years ago I finally you know could join 474 00:20:42,470 --> 00:20:39,960 the sublation uh 475 00:20:46,430 --> 00:20:42,480 that that was during the call of it so I 476 00:20:48,370 --> 00:20:46,440 cannot see it on the lab instead I you 477 00:20:55,210 --> 00:20:48,380 know somebody from home but can you 478 00:20:55,220 --> 00:20:59,870 like 10 I believe 479 00:21:05,390 --> 00:21:01,810 yeah so 480 00:21:06,950 --> 00:21:05,400 that's uh when I celebrated with my 481 00:21:09,650 --> 00:21:06,960 family 482 00:21:12,650 --> 00:21:09,660 in a super messy living room of course 483 00:21:14,210 --> 00:21:12,660 because I my daughter was four years old 484 00:21:15,950 --> 00:21:14,220 your living room must be like this 485 00:21:18,110 --> 00:21:15,960 during call of it when you have a girl 486 00:21:21,350 --> 00:21:18,120 or boy 487 00:21:23,450 --> 00:21:21,360 yes yeah so yeah that was a that was my 488 00:21:26,270 --> 00:21:23,460 moment of Lifetime 489 00:21:28,130 --> 00:21:26,280 is a moment of a lifetime and yeah we 490 00:21:28,850 --> 00:21:28,140 all are going through through it but 491 00:21:30,649 --> 00:21:28,860 that's 492 00:21:32,630 --> 00:21:30,659 a credible that you got to celebrate 493 00:21:35,690 --> 00:21:32,640 with your family 494 00:21:37,370 --> 00:21:35,700 um I'm just so happy for you because it 495 00:21:39,049 --> 00:21:37,380 it's never a straight path is it you 496 00:21:40,370 --> 00:21:39,059 always sometimes you have to move to the 497 00:21:42,289 --> 00:21:40,380 left and right and go backwards before 498 00:21:44,090 --> 00:21:42,299 you can come and get to do your dream 499 00:21:45,289 --> 00:21:44,100 job but let's go back all right I wanna 500 00:21:46,430 --> 00:21:45,299 I wanna jump back I want to get back 501 00:21:47,750 --> 00:21:46,440 into this autonomy I want to get back 502 00:21:50,029 --> 00:21:47,760 into the science I want to talk about 503 00:21:52,310 --> 00:21:50,039 talk about that record you just said 504 00:21:53,930 --> 00:21:52,320 because 600 meters you said you didn't 505 00:21:56,330 --> 00:21:53,940 like to do the we'll do it for you it's 506 00:21:58,430 --> 00:21:56,340 about a half a mile right yeah right 507 00:22:00,289 --> 00:21:58,440 it's a half a mile yeah so what's be 508 00:22:02,450 --> 00:22:00,299 what's beyond that what's beyond Mars 509 00:22:05,450 --> 00:22:02,460 2020. yeah right it's half a mile that's 510 00:22:07,190 --> 00:22:05,460 the distance you know basically to the 511 00:22:09,490 --> 00:22:07,200 nearest Trader Joe's from my home you 512 00:22:13,270 --> 00:22:09,500 know okay 513 00:22:16,970 --> 00:22:13,280 yeah so yes you know uh 514 00:22:19,970 --> 00:22:16,980 that is a lot to us but it's not a lot 515 00:22:22,010 --> 00:22:19,980 to you know compared to 516 00:22:25,190 --> 00:22:22,020 how much we can run how much we can 517 00:22:27,350 --> 00:22:25,200 drive on earth right yeah but 518 00:22:30,049 --> 00:22:27,360 obviously here we can do more um there's 519 00:22:33,289 --> 00:22:30,059 an example from the past can you go to 520 00:22:36,350 --> 00:22:33,299 slide 11 you know in Apollo Mission you 521 00:22:38,990 --> 00:22:36,360 know yeah from Apollo 15 to 17 we use 522 00:22:41,990 --> 00:22:39,000 this Luna buggy you know uh astronauts 523 00:22:45,770 --> 00:22:42,000 drove you know uh 10 to 20 kilometers 524 00:22:48,529 --> 00:22:45,780 just in a few days uh the max speed was 525 00:22:51,890 --> 00:22:48,539 12 mile per miles per hour which doesn't 526 00:22:55,490 --> 00:22:51,900 sound very fast but you know remind that 527 00:22:57,529 --> 00:22:55,500 this was not a one thing freeway uh but 528 00:22:59,930 --> 00:22:57,539 by the way you cannot drive 12 miles per 529 00:23:02,930 --> 00:22:59,940 hour on one day freeway when you have a 530 00:23:06,049 --> 00:23:02,940 peak power anyways um North on the moon 531 00:23:11,090 --> 00:23:06,059 and 12 12 miles per hour was like you 532 00:23:13,730 --> 00:23:11,100 know 100 times faster than the modular 533 00:23:15,830 --> 00:23:13,740 um there are many reasons why the buzz 534 00:23:18,950 --> 00:23:15,840 warmer is so slow you know power 535 00:23:22,070 --> 00:23:18,960 availability mechanical reasons but 536 00:23:23,210 --> 00:23:22,080 there's another reason you know uh if 537 00:23:25,909 --> 00:23:23,220 you look cool thing about this picture 538 00:23:29,510 --> 00:23:25,919 you know it has pretty simple Mobility 539 00:23:32,090 --> 00:23:29,520 system combined with very intelligent 540 00:23:35,770 --> 00:23:32,100 perception and planning algorithm but 541 00:23:39,590 --> 00:23:35,780 not in computer and humans neural right 542 00:23:42,230 --> 00:23:39,600 that was one of the keys right so you 543 00:23:43,970 --> 00:23:42,240 know the question is if we can no you 544 00:23:46,549 --> 00:23:43,980 know not completely replicating what 545 00:23:49,310 --> 00:23:46,559 humans can do but at least can we do one 546 00:23:52,130 --> 00:23:49,320 tenth of what humans can do can we get a 547 00:23:53,570 --> 00:23:52,140 little bit closer to what humans can do 548 00:23:56,690 --> 00:23:53,580 than 549 00:23:59,990 --> 00:23:56,700 what most robots are doing so you know 550 00:24:05,690 --> 00:24:00,000 that's uh uh that motivates you know 551 00:24:06,710 --> 00:24:05,700 some of my research uh projects 552 00:24:10,370 --> 00:24:06,720 um 553 00:24:13,730 --> 00:24:10,380 let's go to slide 12. 554 00:24:15,049 --> 00:24:13,740 yeah so uh here's one example you know 555 00:24:18,110 --> 00:24:15,059 when driving 556 00:24:20,210 --> 00:24:18,120 um I'm currently working as a a robot 557 00:24:21,289 --> 00:24:20,220 driver I'm a trainee if I'm being 558 00:24:22,970 --> 00:24:21,299 trained 559 00:24:25,010 --> 00:24:22,980 um you know when we're driving the robot 560 00:24:26,750 --> 00:24:25,020 manually we care a lot about terrains 561 00:24:29,570 --> 00:24:26,760 you know we don't typically don't want 562 00:24:32,330 --> 00:24:29,580 to drive on slippery trains because you 563 00:24:35,270 --> 00:24:32,340 know in the past our robot got stuck in 564 00:24:38,330 --> 00:24:35,280 sand a few times 565 00:24:40,549 --> 00:24:38,340 um so but you know for the on-board 566 00:24:43,190 --> 00:24:40,559 algorithm for the autonomous driving 567 00:24:45,529 --> 00:24:43,200 algorithm it only uses stereo cameras 568 00:24:48,350 --> 00:24:45,539 meaning that it can only use geometric 569 00:24:50,630 --> 00:24:48,360 information it can tell that hey there 570 00:24:52,610 --> 00:24:50,640 are rocks there are you know holes but 571 00:24:54,950 --> 00:24:52,620 they cannot tell like humans hey there 572 00:24:58,130 --> 00:24:54,960 are rocks here there are Sands there you 573 00:25:02,029 --> 00:24:58,140 know if robots can tell the terrain type 574 00:25:04,370 --> 00:25:02,039 by itself then probably can drive safer 575 00:25:08,450 --> 00:25:04,380 and more effient right 576 00:25:11,870 --> 00:25:08,460 so while we uh uh uh did before 577 00:25:15,830 --> 00:25:11,880 um can you go to slice 13. so you know 578 00:25:17,450 --> 00:25:15,840 we trained a neural net uh artificial 579 00:25:22,010 --> 00:25:17,460 neural net 580 00:25:25,190 --> 00:25:22,020 um to you know look at an on-board image 581 00:25:26,590 --> 00:25:25,200 and basically you know classify hey 582 00:25:29,810 --> 00:25:26,600 where are 583 00:25:32,750 --> 00:25:29,820 you know drivable rocks and soils there 584 00:25:34,909 --> 00:25:32,760 are slippery sense 585 00:25:37,250 --> 00:25:34,919 um I did with my many colleagues you 586 00:25:40,970 --> 00:25:37,260 know Diego Nathan like Peyton Michael 587 00:25:44,330 --> 00:25:40,980 Swann uh many other people's um we 588 00:25:48,470 --> 00:25:44,340 implemented that we you know uh also 589 00:25:50,870 --> 00:25:48,480 implemented on his blogger and drove uh 590 00:25:54,169 --> 00:25:50,880 the destroyed river called a real Seiko 591 00:25:58,130 --> 00:25:54,179 right next to JPL uh it went very well 592 00:26:02,690 --> 00:25:58,140 so um that could be one way uh that we 593 00:26:02,700 --> 00:26:06,370 um going to 594 00:26:15,350 --> 00:26:11,690 uh slide 16 please 595 00:26:19,010 --> 00:26:15,360 another thing that uh uh I did with the 596 00:26:22,549 --> 00:26:19,020 deal of color as Sharon staff three uh 597 00:26:25,310 --> 00:26:22,559 Eastern UI and the other people so uh we 598 00:26:27,289 --> 00:26:25,320 thought we maybe you know so 599 00:26:30,890 --> 00:26:27,299 um the the one of the big difference 600 00:26:32,330 --> 00:26:30,900 between you know the uh automatic 601 00:26:35,269 --> 00:26:32,340 algorithm that we are using for 602 00:26:38,330 --> 00:26:35,279 perseverance and humans drivers is that 603 00:26:41,090 --> 00:26:38,340 human has Instinct right right at the 604 00:26:44,029 --> 00:26:41,100 moment when you see the environment 605 00:26:46,190 --> 00:26:44,039 around you you know you can you you can 606 00:26:47,810 --> 00:26:46,200 anything people think hey that's the 607 00:26:50,029 --> 00:26:47,820 wrong that you have to avoid you know 608 00:26:52,370 --> 00:26:50,039 there's an open space over there you 609 00:26:55,310 --> 00:26:52,380 don't have to think much right 610 00:26:57,830 --> 00:26:55,320 so I thought man you know can we 611 00:26:58,430 --> 00:26:57,840 replicate the academic Instinct 612 00:27:01,130 --> 00:26:58,440 um 613 00:27:04,070 --> 00:27:01,140 by using machine learning yes we can we 614 00:27:08,450 --> 00:27:04,080 can train the uh the neural net 615 00:27:10,730 --> 00:27:08,460 um to you know to to tell you know which 616 00:27:12,950 --> 00:27:10,740 part of the the terrains which path 617 00:27:14,990 --> 00:27:12,960 options are more focusing than the 618 00:27:16,610 --> 00:27:15,000 others so that it can accelerate the you 619 00:27:17,690 --> 00:27:16,620 know the planning algorithm 620 00:27:21,350 --> 00:27:17,700 um so 621 00:27:24,289 --> 00:27:21,360 um you know this is just the two um two 622 00:27:26,750 --> 00:27:24,299 of many examples but there are a lot of 623 00:27:29,570 --> 00:27:26,760 possibilities you know uh by applying 624 00:27:32,570 --> 00:27:29,580 the latest Technologies to you know help 625 00:27:33,710 --> 00:27:32,580 future spacecraft or you know safer and 626 00:27:36,169 --> 00:27:33,720 more efficient 627 00:27:37,430 --> 00:27:36,179 well you we in talking about this and 628 00:27:38,930 --> 00:27:37,440 planning this talk I was thinking about 629 00:27:40,549 --> 00:27:38,940 this as I drove home about how 630 00:27:42,110 --> 00:27:40,559 unnaturally know when it hit the brake I 631 00:27:44,810 --> 00:27:42,120 know when to how far away I'm going to 632 00:27:46,970 --> 00:27:44,820 be how you said the word train how do 633 00:27:47,930 --> 00:27:46,980 you teach something like this to a 634 00:27:50,029 --> 00:27:47,940 machine 635 00:27:50,870 --> 00:27:50,039 yeah that's a good question right you 636 00:27:51,730 --> 00:27:50,880 know 637 00:27:55,010 --> 00:27:51,740 um 638 00:27:57,110 --> 00:27:55,020 any of my attempts to teach something to 639 00:27:59,510 --> 00:27:57,120 my daughter visually failed so I know 640 00:28:02,090 --> 00:27:59,520 how hard it is to teach right uh 641 00:28:02,930 --> 00:28:02,100 something to you know 642 00:28:05,390 --> 00:28:02,940 um 643 00:28:07,190 --> 00:28:05,400 well at least uh artificial neonate is 644 00:28:11,149 --> 00:28:07,200 not as rebellious as my daughter so 645 00:28:14,230 --> 00:28:11,159 maybe that uh anyways so 646 00:28:16,730 --> 00:28:14,240 um yeah but you know training the um 647 00:28:19,070 --> 00:28:16,740 Archer neural net particularly deep 648 00:28:21,289 --> 00:28:19,080 neural net 649 00:28:23,210 --> 00:28:21,299 um is challenging because it requires a 650 00:28:25,669 --> 00:28:23,220 huge amount of data 651 00:28:29,269 --> 00:28:25,679 much more than you know your kids 652 00:28:31,250 --> 00:28:29,279 require so in the case of terrain 653 00:28:33,830 --> 00:28:31,260 classification for example right you 654 00:28:35,990 --> 00:28:33,840 know you typically need you know tens of 655 00:28:37,149 --> 00:28:36,000 thousands maybe hundreds of thousands of 656 00:28:41,990 --> 00:28:37,159 examples 657 00:28:44,210 --> 00:28:42,000 to make it uh you know reliable so where 658 00:28:46,070 --> 00:28:44,220 we can get that data right um so that 659 00:28:48,769 --> 00:28:46,080 was one of the challenge that we faced 660 00:28:51,230 --> 00:28:48,779 uh we tried a few different things but 661 00:28:54,830 --> 00:28:51,240 in the end what worked very well was to 662 00:28:57,649 --> 00:28:54,840 get help from people on the internet 663 00:29:00,710 --> 00:28:57,659 can you go to site 14 please 664 00:29:03,590 --> 00:29:00,720 so during covet we launched this project 665 00:29:06,049 --> 00:29:03,600 called AI for Mars on internet 666 00:29:08,990 --> 00:29:06,059 um or the site called zuniverse 667 00:29:11,149 --> 00:29:09,000 basically it's like you know we said hey 668 00:29:14,690 --> 00:29:11,159 everyone on the internet would you 669 00:29:16,190 --> 00:29:14,700 kindly help us to create the the 670 00:29:18,409 --> 00:29:16,200 examples 671 00:29:20,810 --> 00:29:18,419 um to teach the mobile and actually many 672 00:29:22,789 --> 00:29:20,820 people say oh yeah right so it's very 673 00:29:25,669 --> 00:29:22,799 easy you know anyone can go to the site 674 00:29:29,269 --> 00:29:25,679 you can Google AI for Mars for number 675 00:29:33,049 --> 00:29:29,279 four right and you know open this page 676 00:29:37,310 --> 00:29:33,059 and you can view the real images from 677 00:29:39,350 --> 00:29:37,320 Mars and all you are have to do is to 678 00:29:41,990 --> 00:29:39,360 you know put this bounding boxes around 679 00:29:45,049 --> 00:29:42,000 rocks around sand 680 00:29:48,190 --> 00:29:45,059 this training data comes to us 681 00:29:51,230 --> 00:29:48,200 which is used to train our neural net 682 00:29:53,269 --> 00:29:51,240 which might be used in future statecraft 683 00:29:55,370 --> 00:29:53,279 so you know 684 00:29:59,210 --> 00:29:55,380 um I am glad so many people were excited 685 00:30:00,169 --> 00:29:59,220 we uh got I think 50 000 Frontiers in 686 00:30:03,529 --> 00:30:00,179 total 687 00:30:06,289 --> 00:30:03,539 oh my God I think around 600 688 00:30:08,510 --> 00:30:06,299 000 you know labels inputs from people 689 00:30:11,330 --> 00:30:08,520 so I really appreciate you know people's 690 00:30:13,430 --> 00:30:11,340 passion you know to help future 691 00:30:16,730 --> 00:30:13,440 spacecrafts you know make make it 692 00:30:21,830 --> 00:30:19,549 I I like to use the phrase passion there 693 00:30:23,450 --> 00:30:21,840 because we'll we'll do anything for Mars 694 00:30:24,889 --> 00:30:23,460 and for these things but JPL is more 695 00:30:25,730 --> 00:30:24,899 than Mars right we talked about Voyager 696 00:30:28,730 --> 00:30:25,740 we're talking about all these other 697 00:30:31,909 --> 00:30:28,740 places let's go beyond what's how's 698 00:30:34,669 --> 00:30:31,919 autonomy help us beyond the red planet 699 00:30:36,710 --> 00:30:34,679 yeah you know of course Mars is not our 700 00:30:39,830 --> 00:30:36,720 final destination it's it's one of the 701 00:30:42,289 --> 00:30:39,840 closest planets and Beyond the orbital 702 00:30:44,810 --> 00:30:42,299 Mars there are more interesting things 703 00:30:46,370 --> 00:30:44,820 you know unexplored waiting two pieces 704 00:30:49,850 --> 00:30:46,380 of what right 705 00:30:53,210 --> 00:30:49,860 um can you go to slide 17 706 00:30:57,409 --> 00:30:53,220 um one of those fascinating and under 707 00:30:59,750 --> 00:30:57,419 explored words are these icy moons of 708 00:31:02,090 --> 00:30:59,760 gas giants you know around Jupiter 709 00:31:05,269 --> 00:31:02,100 Saturn Uranus and Neptune there are many 710 00:31:09,049 --> 00:31:05,279 moons you know mostly made of ice all 711 00:31:11,630 --> 00:31:09,059 covered by Ice uh Europa garment 712 00:31:13,310 --> 00:31:11,640 Callisto Titan Trident so those are just 713 00:31:16,029 --> 00:31:13,320 a few examples 714 00:31:18,590 --> 00:31:16,039 um they are fascinating because 715 00:31:21,470 --> 00:31:18,600 many of them 716 00:31:24,070 --> 00:31:21,480 uh would likely you know not all of them 717 00:31:27,409 --> 00:31:24,080 probably but some of them have 718 00:31:30,950 --> 00:31:27,419 subsurface ocean there are liquid water 719 00:31:32,389 --> 00:31:30,960 ocean right below this thick shell of 720 00:31:34,990 --> 00:31:32,399 ice 721 00:31:39,610 --> 00:31:35,000 um likely illopad likely 722 00:31:41,570 --> 00:31:39,620 maybe on Thailand maybe on other moods 723 00:31:46,750 --> 00:31:41,580 and 724 00:31:49,610 --> 00:31:46,760 some of them you know are considered 725 00:31:52,490 --> 00:31:49,620 potentially habitable you know yeah no 726 00:31:55,370 --> 00:31:52,500 one knows if you know life can live 727 00:31:58,190 --> 00:31:55,380 there if it's there or not but you know 728 00:32:00,769 --> 00:31:58,200 uh sometimes it's suspect that these 729 00:32:01,850 --> 00:32:00,779 oceans could be habitable 730 00:32:06,049 --> 00:32:01,860 um 731 00:32:07,549 --> 00:32:06,059 among these icy Wars one of the uh Most 732 00:32:11,149 --> 00:32:07,559 Fascinating world 733 00:32:14,830 --> 00:32:11,159 s is in service can you go to the next 734 00:32:22,490 --> 00:32:19,250 this is a a relatively small moon of 735 00:32:25,730 --> 00:32:22,500 Saturn it's about 50 736 00:32:28,789 --> 00:32:25,740 or 500 kilometers across the surface 737 00:32:31,610 --> 00:32:28,799 area is around about Texas 738 00:32:35,029 --> 00:32:31,620 um so what makes this world unique is 739 00:32:39,590 --> 00:32:35,039 this geysers you know found by Cassini 740 00:32:42,409 --> 00:32:39,600 when it flew near the South Pole of this 741 00:32:47,149 --> 00:32:42,419 Moon it found that something was 742 00:32:50,409 --> 00:32:47,159 splashing out of this moon to space 743 00:32:52,909 --> 00:32:50,419 it turned out that this is a water vapor 744 00:32:56,630 --> 00:32:52,919 likely coming out from the subsurface 745 00:32:58,610 --> 00:32:56,640 ocean meaning that there are cracks you 746 00:33:00,529 --> 00:32:58,620 know in ice shell there are some conduit 747 00:33:03,409 --> 00:33:00,539 or crevice I don't know what it is no 748 00:33:06,590 --> 00:33:03,419 one know what exactly it is but 749 00:33:09,409 --> 00:33:06,600 there is a mechanism pathway that water 750 00:33:11,930 --> 00:33:09,419 comes out from the interior of this moon 751 00:33:15,230 --> 00:33:11,940 to the space and actually this water 752 00:33:19,490 --> 00:33:15,240 vapor forms one of the wings of Saturn 753 00:33:22,130 --> 00:33:19,500 so you know it's fascinating in many 754 00:33:27,110 --> 00:33:22,140 ways right you know but one reason is 755 00:33:30,610 --> 00:33:27,120 that hey this could be you know a a a a 756 00:33:33,830 --> 00:33:30,620 a a a a great pathway for us 757 00:33:35,810 --> 00:33:33,840 uh through which we can exploit you know 758 00:33:38,029 --> 00:33:35,820 let's explore more with uh with the next 759 00:33:40,730 --> 00:33:38,039 slide said 19. 760 00:33:42,590 --> 00:33:40,740 this is you know uh what scientists 761 00:33:44,990 --> 00:33:42,600 imagine the interior of the moon is 762 00:33:48,350 --> 00:33:45,000 again as I said you know there's a shell 763 00:33:52,669 --> 00:33:48,360 of ice below which there is likely a 764 00:33:56,149 --> 00:33:52,679 liquid ocean and around South Pole there 765 00:34:00,049 --> 00:33:56,159 is Conduit you know geysers so we 766 00:34:04,269 --> 00:34:00,059 thought you know can we make a tiny 767 00:34:07,669 --> 00:34:04,279 robot that can dive into these conduit 768 00:34:11,990 --> 00:34:07,679 goes down all the way to the ocean and 769 00:34:13,609 --> 00:34:12,000 possibly you know a mid life if there's 770 00:34:18,050 --> 00:34:13,619 any 771 00:34:18,829 --> 00:34:18,060 um so can you go to next slide please 772 00:34:23,589 --> 00:34:18,839 um 773 00:34:27,710 --> 00:34:23,599 some years ago uh in 2016 my colleague 774 00:34:30,109 --> 00:34:27,720 my friends and I got this you know a 775 00:34:33,710 --> 00:34:30,119 really small funding from a program 776 00:34:35,450 --> 00:34:33,720 called Nayak NASA's Innovative Advanced 777 00:34:39,109 --> 00:34:35,460 concept program 778 00:34:42,050 --> 00:34:39,119 to take a closer look about this 779 00:34:45,470 --> 00:34:42,060 seemingly crazy idea of sending robot 780 00:34:48,889 --> 00:34:45,480 down to this uh you know act events and 781 00:34:49,550 --> 00:34:48,899 studied if it is ever possible or not 782 00:34:52,250 --> 00:34:49,560 um 783 00:34:54,649 --> 00:34:52,260 uh skipping all the way to the 784 00:34:56,570 --> 00:34:54,659 conclusion we found that you know of 785 00:34:58,910 --> 00:34:56,580 course no one knows how it looks like 786 00:35:00,650 --> 00:34:58,920 below the surface of inside us there 787 00:35:03,349 --> 00:35:00,660 could be you know infinite number of 788 00:35:05,510 --> 00:35:03,359 possibilities but you know there are two 789 00:35:07,070 --> 00:35:05,520 silver roughly speaking you know there 790 00:35:08,930 --> 00:35:07,080 could the reality could be more complex 791 00:35:10,730 --> 00:35:08,940 than this one but civil roughly speaking 792 00:35:13,190 --> 00:35:10,740 there are two possibilities one is that 793 00:35:16,190 --> 00:35:13,200 you know that this event is uh you know 794 00:35:19,069 --> 00:35:16,200 wide open there's a clean interface of 795 00:35:21,170 --> 00:35:19,079 the water from which the water boils or 796 00:35:22,310 --> 00:35:21,180 somewhere somehow exfoliated and goes to 797 00:35:25,810 --> 00:35:22,320 go to space 798 00:35:28,430 --> 00:35:25,820 the other possibility is uh called 799 00:35:30,829 --> 00:35:28,440 cryovolcanic Model it's basically 800 00:35:33,170 --> 00:35:30,839 inverted rocket nozzle you know the high 801 00:35:35,210 --> 00:35:33,180 pressure liquid gas mixture goes up the 802 00:35:36,770 --> 00:35:35,220 vent and gas expands that propels the 803 00:35:39,950 --> 00:35:36,780 the jet 804 00:35:42,770 --> 00:35:39,960 um we found that this idea of going 805 00:35:45,170 --> 00:35:42,780 letting the robot going down the vent is 806 00:35:47,990 --> 00:35:45,180 likely possible likely feasible for open 807 00:35:51,410 --> 00:35:48,000 quality model uh it would be possible 808 00:35:54,170 --> 00:35:51,420 for cryovolcanic model it is harder but 809 00:35:57,770 --> 00:35:54,180 if the event size is more than 10 810 00:36:00,530 --> 00:35:57,780 centimeters which can be guaranteed but 811 00:36:03,170 --> 00:36:00,540 given that there are there seems to be 812 00:36:06,170 --> 00:36:03,180 more than hundreds of event openings 813 00:36:08,030 --> 00:36:06,180 what's the challenge that we can find at 814 00:36:09,890 --> 00:36:08,040 least one event that is more obtained 815 00:36:12,109 --> 00:36:09,900 with us the purpose is you know quite 816 00:36:14,810 --> 00:36:12,119 likely 817 00:36:16,910 --> 00:36:14,820 um yeah so you know you can go to the 818 00:36:19,609 --> 00:36:16,920 next slides please 819 00:36:22,430 --> 00:36:19,619 um yeah we you know do some experiments 820 00:36:26,210 --> 00:36:22,440 in the walking freezer and also the 821 00:36:29,930 --> 00:36:26,220 slide we run some cfd computational 822 00:36:33,530 --> 00:36:29,940 fluid dynamics and then we arrived 823 00:36:36,530 --> 00:36:33,540 um uh this uh robot can you go to slide 824 00:36:41,210 --> 00:36:40,609 yeah one more we uh you know 825 00:36:43,790 --> 00:36:41,220 um 826 00:36:46,250 --> 00:36:43,800 I felt okay so this could be one way to 827 00:36:48,650 --> 00:36:46,260 make this happen a tiny robot maybe you 828 00:36:51,829 --> 00:36:48,660 know again 10 centimeter in which is 829 00:36:54,770 --> 00:36:51,839 maybe uh 30 feet later in length you 830 00:36:57,410 --> 00:36:54,780 know has a few limbs uh at the end there 831 00:37:00,410 --> 00:36:57,420 are ice views to stick to the wall so 832 00:37:03,410 --> 00:37:00,420 it's not blown away you know uh maybe 833 00:37:06,530 --> 00:37:03,420 it's gonna crawl out of the van that and 834 00:37:09,290 --> 00:37:06,540 moves to the event and go down of course 835 00:37:11,270 --> 00:37:09,300 you know this is not the you know a 836 00:37:13,370 --> 00:37:11,280 design robot this is one of many 837 00:37:15,470 --> 00:37:13,380 possible designs and you know we are 838 00:37:18,349 --> 00:37:15,480 actively exploring you know more 839 00:37:22,250 --> 00:37:18,359 promising designs 840 00:37:25,490 --> 00:37:22,260 um but yeah so you know this could be 841 00:37:27,829 --> 00:37:25,500 um a fascinating uh you know idea and 842 00:37:30,829 --> 00:37:27,839 then you know of course this robot is 843 00:37:34,849 --> 00:37:30,839 going to you know go 844 00:37:36,530 --> 00:37:34,859 um into this event uh which is which has 845 00:37:38,870 --> 00:37:36,540 so many unknowns 846 00:37:41,210 --> 00:37:38,880 right you know you cannot fly your 847 00:37:44,210 --> 00:37:41,220 spacecraft above it and you know make a 848 00:37:46,609 --> 00:37:44,220 detailed map so you know 849 00:37:49,550 --> 00:37:46,619 um it has to deal with uncertainty it 850 00:37:52,849 --> 00:37:49,560 has to move vertically you have to 851 00:37:56,270 --> 00:37:52,859 control this complex robot to do so and 852 00:37:58,130 --> 00:37:56,280 also the environment is dynamic so there 853 00:38:01,849 --> 00:37:58,140 are so many reasons that this robot has 854 00:38:05,089 --> 00:38:01,859 to be again highly intelligent 855 00:38:07,490 --> 00:38:05,099 so hero I want to jump forward 856 00:38:10,130 --> 00:38:07,500 and loop back 857 00:38:13,250 --> 00:38:10,140 um I want to talk about Voyager again 858 00:38:15,470 --> 00:38:13,260 and talk about autonomy and something 859 00:38:18,050 --> 00:38:15,480 like this and if we go to our next image 860 00:38:19,130 --> 00:38:18,060 you can truly see how alone it is out 861 00:38:19,670 --> 00:38:19,140 there 862 00:38:21,530 --> 00:38:19,680 um 863 00:38:22,849 --> 00:38:21,540 talk to me about something like this and 864 00:38:26,150 --> 00:38:22,859 what is 865 00:38:28,430 --> 00:38:26,160 truly after you being here for 34 or 866 00:38:31,030 --> 00:38:28,440 like 34 years after this and all these 867 00:38:33,109 --> 00:38:31,040 great things talk to me about that 868 00:38:34,250 --> 00:38:33,119 yeah you know 869 00:38:36,530 --> 00:38:34,260 um 870 00:38:38,089 --> 00:38:36,540 it's amazing right it's fascinating that 871 00:38:40,430 --> 00:38:38,099 this spacecraft 872 00:38:41,630 --> 00:38:40,440 it keeps flying after a happy four years 873 00:38:44,329 --> 00:38:41,640 you know 874 00:38:46,370 --> 00:38:44,339 um when I was inspired right still 875 00:38:48,410 --> 00:38:46,380 flying beyond the heliopath you know 876 00:38:49,910 --> 00:38:48,420 into the in the cell space 877 00:38:50,569 --> 00:38:49,920 um you know 878 00:38:53,089 --> 00:38:50,579 um 879 00:38:56,030 --> 00:38:53,099 and and interesting interestingly 880 00:38:59,690 --> 00:38:56,040 there's no other spacecraft still that 881 00:39:03,290 --> 00:38:59,700 you know went beyond you know were 882 00:39:06,109 --> 00:39:03,300 apologize right but you know surely 883 00:39:08,829 --> 00:39:06,119 someday you know we should catch up and 884 00:39:11,870 --> 00:39:08,839 move Beyond right you know we gonna 885 00:39:14,510 --> 00:39:11,880 explore the icy moons of 886 00:39:16,130 --> 00:39:14,520 as Giants someday will go to the 887 00:39:19,490 --> 00:39:16,140 subsurface ocean we're going to probably 888 00:39:21,050 --> 00:39:19,500 go back to Neptune system someday in 889 00:39:24,530 --> 00:39:21,060 particular it's Moon Trident which is 890 00:39:26,510 --> 00:39:24,540 very interesting maybe kbos you know we 891 00:39:28,569 --> 00:39:26,520 know there are many Pluto sized dwarf 892 00:39:31,430 --> 00:39:28,579 planets beyond the orbit of Neptune 893 00:39:33,650 --> 00:39:31,440 eventually maybe intercept space right 894 00:39:36,829 --> 00:39:33,660 you know like chop it one system which 895 00:39:38,030 --> 00:39:36,839 has multiple habitable planets which may 896 00:39:41,510 --> 00:39:38,040 take 897 00:39:45,890 --> 00:39:41,520 you know uh hundreds of a thousands of 898 00:39:48,230 --> 00:39:45,900 years to get there maybe you know um 899 00:39:49,370 --> 00:39:48,240 yeah so you know thinking about Voyager 900 00:39:50,390 --> 00:39:49,380 right 901 00:39:54,410 --> 00:39:50,400 um 902 00:39:59,390 --> 00:39:54,420 you know uh it only happened sometimes 903 00:40:01,910 --> 00:39:59,400 um after a success was made uh you know 904 00:40:02,990 --> 00:40:01,920 we often kind of take it granted right 905 00:40:06,050 --> 00:40:03,000 you know 906 00:40:10,670 --> 00:40:06,060 um it's hard to imagine how Innovative 907 00:40:13,730 --> 00:40:10,680 it was uh but if you put yourself for 908 00:40:16,970 --> 00:40:13,740 the Viewpoint of the past this uh idea 909 00:40:20,270 --> 00:40:16,980 of grand tour right you know uh visiting 910 00:40:22,370 --> 00:40:20,280 four major planets gastrian planets in 911 00:40:23,630 --> 00:40:22,380 one Mission which basically what Voyager 912 00:40:26,750 --> 00:40:23,640 tilted 913 00:40:29,569 --> 00:40:26,760 was initially conceived in 1965 by this 914 00:40:33,290 --> 00:40:29,579 graduate student named Gary flandro and 915 00:40:35,630 --> 00:40:33,300 that time 1965 what JPL did and what 916 00:40:37,849 --> 00:40:35,640 whole world did actually was to send 917 00:40:40,069 --> 00:40:37,859 only two spacecrafts successfully to 918 00:40:42,770 --> 00:40:40,079 other planets right one to Venus one to 919 00:40:44,390 --> 00:40:42,780 Mars and you know that time you know 920 00:40:47,030 --> 00:40:44,400 this guy was talking about creating a 921 00:40:49,670 --> 00:40:47,040 spacecraft that that last tens of years 922 00:40:51,410 --> 00:40:49,680 and going all the way to Uranus and 923 00:40:52,430 --> 00:40:51,420 Neptune and eventually to industrial 924 00:40:54,890 --> 00:40:52,440 space 925 00:40:57,290 --> 00:40:54,900 what you're talking about right you know 926 00:40:59,510 --> 00:40:57,300 um that was the craziest idea at the 927 00:41:01,910 --> 00:40:59,520 time if no one believed it laughed at it 928 00:41:04,130 --> 00:41:01,920 but you know but it happened eventually 929 00:41:05,470 --> 00:41:04,140 you know JPL made it happen 930 00:41:10,430 --> 00:41:05,480 so 931 00:41:13,089 --> 00:41:10,440 Voya reminds me reminds us that you know 932 00:41:17,390 --> 00:41:13,099 JPL is a place where 933 00:41:19,849 --> 00:41:17,400 grown-ups are allowed to dream big 934 00:41:25,910 --> 00:41:19,859 right you know and it's a place where 935 00:41:31,370 --> 00:41:29,569 with that reality before we started this 936 00:41:33,530 --> 00:41:31,380 talk you were holding your child in your 937 00:41:36,170 --> 00:41:33,540 arms while you were setting up yeah 938 00:41:38,450 --> 00:41:36,180 um how 939 00:41:40,670 --> 00:41:38,460 when you look at this and look for 940 00:41:42,290 --> 00:41:40,680 what's next not just for this Mission 941 00:41:46,970 --> 00:41:42,300 but for all these missions but for also 942 00:41:53,930 --> 00:41:51,109 yeah you know I mean like life needs 943 00:41:55,790 --> 00:41:53,940 them my my personal life hey I guess 944 00:41:57,950 --> 00:41:55,800 yeah I mean I can hear it around you too 945 00:41:59,870 --> 00:41:57,960 I can hear it right now live 946 00:42:01,910 --> 00:41:59,880 it's a very exciting life you got yeah 947 00:42:04,430 --> 00:42:01,920 yeah so 948 00:42:05,750 --> 00:42:04,440 um why don't you show me the last slide 949 00:42:08,690 --> 00:42:05,760 um 950 00:42:12,230 --> 00:42:08,700 yeah that was actually the last weekend 951 00:42:15,230 --> 00:42:12,240 you know uh the Jupiter and vidas were 952 00:42:17,990 --> 00:42:15,240 at conjunctions so you know I 953 00:42:21,050 --> 00:42:18,000 you know I took my daughter to the front 954 00:42:22,970 --> 00:42:21,060 yard and you know pull that tennis club 955 00:42:26,210 --> 00:42:22,980 from the garage and you know the 956 00:42:29,569 --> 00:42:26,220 performance we I'm still kidding Stars 957 00:42:31,670 --> 00:42:29,579 you know after 35 years when my father 958 00:42:33,410 --> 00:42:31,680 gave me this telescope you know not with 959 00:42:36,170 --> 00:42:33,420 my father anymore you know with my kids 960 00:42:38,089 --> 00:42:36,180 you know I like this I like this a lot 961 00:42:40,250 --> 00:42:38,099 to getting Stars still 962 00:42:43,130 --> 00:42:40,260 um I think for two reasons right one is 963 00:42:44,870 --> 00:42:43,140 that you know yeah I said JP is a place 964 00:42:46,970 --> 00:42:44,880 where we can drink big but of course you 965 00:42:49,730 --> 00:42:46,980 know we are not you know thinking about 966 00:42:52,310 --> 00:42:49,740 big things 40 hours per per week every 967 00:42:54,650 --> 00:42:52,320 day right there's so many you know 968 00:42:57,290 --> 00:42:54,660 little things to border right you know 969 00:43:00,770 --> 00:42:57,300 just like any other workplace you know 970 00:43:02,630 --> 00:43:00,780 um hey this thing bro it was broken you 971 00:43:04,490 --> 00:43:02,640 know we have to be fixed a bag 972 00:43:06,410 --> 00:43:04,500 you know we are running on funding you 973 00:43:07,569 --> 00:43:06,420 know we have to keep our stakeholders 974 00:43:10,210 --> 00:43:07,579 happy 975 00:43:14,329 --> 00:43:10,220 they're so you know many little things 976 00:43:16,370 --> 00:43:14,339 but you know uh if I go out in the night 977 00:43:18,290 --> 00:43:16,380 and get Stars you know that kind of let 978 00:43:22,490 --> 00:43:18,300 me forget about those little you know 979 00:43:24,829 --> 00:43:22,500 things and you know uh reminds reminds 980 00:43:27,589 --> 00:43:24,839 me why I'm doing this job you know where 981 00:43:29,690 --> 00:43:27,599 I started uh what's my big dream was has 982 00:43:32,390 --> 00:43:29,700 been right and of course you know it's 983 00:43:34,790 --> 00:43:32,400 also you know for my daughter right to 984 00:43:37,910 --> 00:43:34,800 inspire my kids you know like my father 985 00:43:41,210 --> 00:43:37,920 did for me my like Voyage of it for me 986 00:43:43,490 --> 00:43:41,220 you know we you know work hard to you 987 00:43:45,890 --> 00:43:43,500 know make our big dreams come true you 988 00:43:48,109 --> 00:43:45,900 know which inspires the the Next 989 00:43:51,050 --> 00:43:48,119 Generation like my kids so that they can 990 00:43:52,970 --> 00:43:51,060 even have bigger dreams and when they 991 00:43:54,890 --> 00:43:52,980 grow up you know perhaps they're gonna 992 00:43:57,710 --> 00:43:54,900 you know work on their own dream and 993 00:43:59,030 --> 00:43:57,720 that's that's the way that humans make 994 00:44:03,109 --> 00:43:59,040 progress 995 00:44:05,270 --> 00:44:03,119 thank you so much hero there have been a 996 00:44:06,950 --> 00:44:05,280 lot of great questions out there on the 997 00:44:09,050 --> 00:44:06,960 on all the platforms so I'm gonna throw 998 00:44:21,950 --> 00:44:09,060 it back over to Rachel how's it going 999 00:44:25,490 --> 00:44:23,809 I'd like to see how many I can get 1000 00:44:27,349 --> 00:44:25,500 through so yeah 1001 00:44:29,930 --> 00:44:27,359 um there's so many amazing questions 1002 00:44:32,569 --> 00:44:29,940 Rachel can I interrupt you for a second 1003 00:44:34,309 --> 00:44:32,579 uh your your audio is getting a little 1004 00:44:36,290 --> 00:44:34,319 fuzzy right now so I'll ask the first 1005 00:44:37,910 --> 00:44:36,300 one that you've highlighted for me if 1006 00:44:39,890 --> 00:44:37,920 you want to reload and we can ask that 1007 00:44:42,530 --> 00:44:39,900 back in 1008 00:44:44,630 --> 00:44:42,540 um so actually on LinkedIn wants to know 1009 00:44:46,550 --> 00:44:44,640 did you find any differences or 1010 00:44:48,650 --> 00:44:46,560 surprises in training perseverance as 1011 00:44:51,770 --> 00:44:48,660 autonav on Earth and when it started 1012 00:44:54,890 --> 00:44:53,390 good question 1013 00:44:58,010 --> 00:44:54,900 um 1014 00:45:01,309 --> 00:44:58,020 yeah maybe the biggest surprise is that 1015 00:45:02,329 --> 00:45:01,319 it works so well you know 1016 00:45:07,490 --> 00:45:02,339 um 1017 00:45:11,089 --> 00:45:07,500 the autodev 1018 00:45:14,210 --> 00:45:11,099 uh you know my worry was that you know 1019 00:45:17,030 --> 00:45:14,220 what if my cause my what if I called 1020 00:45:20,329 --> 00:45:17,040 crashes this you know multi-made without 1021 00:45:21,490 --> 00:45:20,339 a Rover you know uh but it hasn't 1022 00:45:26,150 --> 00:45:21,500 happened 1023 00:45:29,510 --> 00:45:26,160 it works so well you know so yeah maybe 1024 00:45:32,750 --> 00:45:29,520 that's a positive surprise that I had 1025 00:45:36,349 --> 00:45:32,760 very cool Rich are you back with us 1026 00:45:37,370 --> 00:45:36,359 I hope so am I bad yes I'm great welcome 1027 00:45:40,130 --> 00:45:37,380 back 1028 00:45:42,470 --> 00:45:40,140 okay thank you sorry everyone out there 1029 00:45:43,609 --> 00:45:42,480 for the audio issue but I'm glad to be 1030 00:45:47,870 --> 00:45:43,619 back 1031 00:45:51,109 --> 00:45:47,880 um okay so mace Bob on YouTube asks to 1032 00:45:53,870 --> 00:45:51,119 you hero do you think we're close to a 1033 00:45:56,030 --> 00:45:53,880 robot being able to decide to pursue 1034 00:45:59,329 --> 00:45:56,040 discoveries that the mission planners 1035 00:46:02,150 --> 00:45:59,339 were unable to identify 1036 00:46:05,089 --> 00:46:02,160 um unfortunately we are far from it um 1037 00:46:07,970 --> 00:46:05,099 in my opinion you know uh yes 1038 00:46:10,069 --> 00:46:07,980 um article indigenous made a really 1039 00:46:11,809 --> 00:46:10,079 impressive progress in the past uh you 1040 00:46:13,670 --> 00:46:11,819 know I guess I dig it ourselves everyone 1041 00:46:17,650 --> 00:46:13,680 knows about it you know there are so so 1042 00:46:19,849 --> 00:46:17,660 much news about Chachi PT for example 1043 00:46:21,290 --> 00:46:19,859 but you know 1044 00:46:27,530 --> 00:46:21,300 um 1045 00:46:29,569 --> 00:46:27,540 well as long as it's inputs and outputs 1046 00:46:33,290 --> 00:46:29,579 are confined within computer system from 1047 00:46:36,470 --> 00:46:33,300 the network but you know when you know 1048 00:46:38,829 --> 00:46:36,480 it has to handle the real world you know 1049 00:46:41,930 --> 00:46:38,839 you have to handle physical interaction 1050 00:46:43,250 --> 00:46:41,940 it's still way behind for example you 1051 00:46:44,809 --> 00:46:43,260 know I'm a Japanese so you know I can 1052 00:46:48,069 --> 00:46:44,819 easily pick up tofu with chopsticks 1053 00:46:50,990 --> 00:46:48,079 right that's a very hard task for robots 1054 00:46:53,569 --> 00:46:51,000 uh you know picking a brows featuring a 1055 00:46:54,170 --> 00:46:53,579 haul so you know 1056 00:46:59,210 --> 00:46:54,180 um 1057 00:47:01,210 --> 00:46:59,220 I don't believe that AI or you know or 1058 00:47:03,170 --> 00:47:01,220 autonomy going to take over humans 1059 00:47:06,710 --> 00:47:03,180 particularly Interiors physical 1060 00:47:11,510 --> 00:47:06,720 interaction and creativity so you know 1061 00:47:14,870 --> 00:47:11,520 uh it's still far from the time when AI 1062 00:47:16,250 --> 00:47:14,880 replaced our scientists in my opinion uh 1063 00:47:19,490 --> 00:47:16,260 but you know 1064 00:47:22,190 --> 00:47:19,500 um AI is our helpful friends and as it 1065 00:47:24,109 --> 00:47:22,200 gets more and more killable if it can do 1066 00:47:27,470 --> 00:47:24,119 just you know one tenth of what humans 1067 00:47:31,190 --> 00:47:27,480 can do we can just move Way Beyond 1068 00:47:32,630 --> 00:47:31,200 yeah a wonderful answer hero so 1069 00:47:36,589 --> 00:47:32,640 um we have time for two more questions 1070 00:47:39,530 --> 00:47:36,599 uh but on that on a similar note 1071 00:47:42,170 --> 00:47:39,540 um and I I really like this one just 1072 00:47:44,990 --> 00:47:42,180 well you'll see why Josh on YouTube asks 1073 00:47:47,809 --> 00:47:45,000 how often is human input needed by the 1074 00:47:49,849 --> 00:47:47,819 autonomous robots 1075 00:47:53,510 --> 00:47:49,859 um it really depends 1076 00:47:56,510 --> 00:47:53,520 um depends on the type of the 1077 00:47:58,970 --> 00:47:56,520 um algorithm you make you know learning 1078 00:48:00,530 --> 00:47:58,980 is not the only way right uh 1079 00:48:03,290 --> 00:48:00,540 conventional 1080 00:48:07,010 --> 00:48:03,300 um autonomy algorithms you know uh you 1081 00:48:09,370 --> 00:48:07,020 can call it a classical AI is basically 1082 00:48:11,990 --> 00:48:09,380 something that human Engineers design 1083 00:48:13,670 --> 00:48:12,000 right instead of uh you know let it 1084 00:48:17,270 --> 00:48:13,680 learn by itself right 1085 00:48:20,030 --> 00:48:17,280 um so Engineers design how it gonna 1086 00:48:21,410 --> 00:48:20,040 behave and you turned on then it get it 1087 00:48:23,210 --> 00:48:21,420 keeps going 1088 00:48:25,210 --> 00:48:23,220 right 1089 00:48:28,250 --> 00:48:25,220 um there are you know learning 1090 00:48:31,190 --> 00:48:28,260 algorithms there are algorithms that 1091 00:48:33,849 --> 00:48:31,200 needs to be supervised you know that 1092 00:48:37,970 --> 00:48:33,859 means you know examples to be trained 1093 00:48:42,050 --> 00:48:37,980 there are algorithms that can self-train 1094 00:48:44,990 --> 00:48:42,060 you know uh it can teach itself uh there 1095 00:48:47,569 --> 00:48:45,000 are algorithms you know it gets feedback 1096 00:48:49,970 --> 00:48:47,579 from people you know uh like teacher 1097 00:48:52,370 --> 00:48:49,980 students you know students you know do 1098 00:48:54,589 --> 00:48:52,380 some work and teachers gives feedback 1099 00:48:56,809 --> 00:48:54,599 and you know um so there are many 1100 00:48:58,490 --> 00:48:56,819 different ways so I cannot we cannot say 1101 00:49:01,370 --> 00:48:58,500 you know 1102 00:49:03,650 --> 00:49:01,380 um I don't give a simple answer but it 1103 00:49:06,890 --> 00:49:03,660 depends 1104 00:49:08,930 --> 00:49:06,900 understood understood okay last question 1105 00:49:11,510 --> 00:49:08,940 I'm sorry to not get to all of your 1106 00:49:13,790 --> 00:49:11,520 questions they are actually amazing so 1107 00:49:15,109 --> 00:49:13,800 I'm hoping we can send all of these over 1108 00:49:16,790 --> 00:49:15,119 to Hero 1109 00:49:19,190 --> 00:49:16,800 um just so he knows what's on here I 1110 00:49:20,690 --> 00:49:19,200 spoke too much I should have no you 1111 00:49:23,450 --> 00:49:20,700 didn't oh this book just the right 1112 00:49:27,170 --> 00:49:23,990 um 1113 00:49:28,790 --> 00:49:27,180 this one yeah this one I'm very excited 1114 00:49:31,130 --> 00:49:28,800 to ask so what is one of your favorite 1115 00:49:36,589 --> 00:49:31,140 moments that you've experienced of our 1116 00:49:40,849 --> 00:49:39,290 oh 1117 00:49:43,370 --> 00:49:40,859 it's a good one the question was what's 1118 00:49:46,370 --> 00:49:43,380 my what's the best moment 1119 00:49:48,109 --> 00:49:46,380 yeah yeah essentially what's your 1120 00:49:50,750 --> 00:49:48,119 favorite moment right operating these 1121 00:49:54,470 --> 00:49:50,760 Rovers you've experienced something that 1122 00:49:56,569 --> 00:49:54,480 so few people get to experience 1123 00:49:59,630 --> 00:49:56,579 maybe you can think of one moment I'm 1124 00:50:02,270 --> 00:49:59,640 sure there's many though 1125 00:50:03,890 --> 00:50:02,280 yeah I think it's still that the landing 1126 00:50:06,530 --> 00:50:03,900 of perseverance you know the moment 1127 00:50:08,750 --> 00:50:06,540 because yeah you know it's not because I 1128 00:50:11,870 --> 00:50:08,760 was involved in landing that was not my 1129 00:50:14,630 --> 00:50:11,880 job but you know simply because you know 1130 00:50:17,150 --> 00:50:14,640 uh if it doesn't land well then you know 1131 00:50:18,170 --> 00:50:17,160 uh everything that I did before was you 1132 00:50:21,770 --> 00:50:18,180 know uh 1133 00:50:24,109 --> 00:50:21,780 go away right but also I don't know as a 1134 00:50:26,329 --> 00:50:24,119 team as a project you know hundreds 1135 00:50:29,089 --> 00:50:26,339 maybe thousands of people you know spend 1136 00:50:32,390 --> 00:50:29,099 so many years to you know make this 1137 00:50:34,430 --> 00:50:32,400 happen and it hinged on this you know 1138 00:50:37,190 --> 00:50:34,440 seven minutes of Terror how this female 1139 00:50:40,970 --> 00:50:37,200 ultimate robot can do is shop by itself 1140 00:50:43,670 --> 00:50:40,980 and we were so anxiously watching it and 1141 00:50:46,849 --> 00:50:43,680 when this you know confirmation signal 1142 00:50:50,809 --> 00:50:46,859 came back from Mars we are on Mars that 1143 00:50:53,809 --> 00:50:50,819 was really uh you know moment for me 1144 00:50:56,690 --> 00:50:53,819 it's amazing uh on that note Brian yeah 1145 00:50:59,210 --> 00:50:56,700 I know you will close us out thank you 1146 00:51:00,710 --> 00:50:59,220 thank you no thank you both very much 1147 00:51:03,049 --> 00:51:00,720 that is all the time that we have for 1148 00:51:05,569 --> 00:51:03,059 tonight please join us in April when we 1149 00:51:06,950 --> 00:51:05,579 discuss Earth and the emit mission 1150 00:51:10,309 --> 00:51:06,960 I would personally like to thank 1151 00:51:13,670 --> 00:51:10,319 Christopher Colin Max Bill Corey Robert 1152 00:51:17,510 --> 00:51:13,680 Gabby Emily Rachel Mark Curtis Nikki 1153 00:51:19,190 --> 00:51:17,520 Amanda the Kims Joey and everyone 1154 00:51:20,870 --> 00:51:19,200 everyone behind the scenes who make 1155 00:51:22,609 --> 00:51:20,880 these public talks possible it truly 1156 00:51:24,650 --> 00:51:22,619 does take a team I would like to thank 1157 00:51:26,990 --> 00:51:24,660 our co-host Rachel and our speaker hero 1158 00:51:29,809 --> 00:51:27,000 for the passion expertise and general 1159 00:51:31,309 --> 00:51:29,819 awesomeness uh our final thank you is to 1160 00:51:34,250 --> 00:51:31,319 you the audience who join us every 1161 00:51:36,890 --> 00:51:34,260 single month this is your space program 1162 00:51:38,390 --> 00:51:36,900 and it is our honor to bring you these 1163 00:51:42,470 --> 00:51:38,400 monthly talks