I really enjoyed this conversation with Vijay. Here's the outline: 0:00 - Introduction 0:58 - First robot 3:37 - Proudest accomplishments 5:32 - Drone, UAV, aerial robot terminology 6:23 - Biologically inspired robotics 8:34 - Swarm as an individual organism 11:18 - Distributed control 15:04 - Types of flying robots 19:57 - Math in a TED talk 20:29 - What does it take to make a robot fly? 27:09 - Getting from point A to point B 29:22 - Machine learning in robotics 33:53 - Autonomous vehicles 37:05 - Autonomous driving vs autonomous flight 38:52 - Applications of robot swarms 40:12 - Batteries 42:30 - Flying cars 44:03 - Robots and humans 49:48 - Sci-fi inspired fears of robots 52:22 - Open problems in robotics
So many postive comments for this and for many of Lex's interviews. I agree with all of the positive comments. Ah, to be able to snap my fingers and to find that I am in my late teens and in college again. That is the desire that listening to these interviews ignites in me. 🌻
Lex, so far, in my experience, you are the only person on RUclips whose videos are so carefully organized and documented in terms of discussion matter and time. Especially for such advanced topics. You can simply select a defined point in the video that you want to hear or re-listen to without having to manually scroll through and waste time. Your extra hard work doing that for us makes watching your videos an absolute pleasure to listen to. Thank you and keep it up.
Thanks Lex! Very interesting conversation that gives general audience a sense of where we are at for robotic technology. Certainly will inspire the next generation of engineers!
Lex: just started watching ur interviews...They are great! I could say more but it is true that simplicity is beautiful thing. Vijay seems like such a nice guy and very intelligent; aigh, and patient...
listening to Vijay talk about the 'energy problem'. It reminds me of the human problem with satisfying energy requirements for our own brain, using tools and finding better ways to gather/trap/harvest food. (Homo Erectus, ~1.8 million years ago)
17:30, 20:00 agility real means and mathematics giving goosebumps still watching lets see how much more goosebumps coming up, 33: 00 is he talking about navigation and action in outdoor, unstructured , dynamical environment. the actual problem in robotics, in last 52:22 open problems , the importance of representation .... now i may not be able to sleep for few weeks properly... all i got to know that my approach is on right track.....
Vijay is an interesting dude and his comment on designing at a 'higher dimensional whole' should be implemented in all AGI design in particular in artificial cognition to capture amazing advantages. It also highlights how higher levels of human co-operation (as a whole) across all types of humans would lead to a greater AI whole. The other option is to hide safely behind our intellectual gates and avoid sharing with those on the outside. Time is finite, I prefer the former.
Here's the idea for home delivery ... Raise the packages in a blimp in the morning, deliver the packages with a mostly gliding robot that drives back to the blimp for the next day.
My question is why after half a century hasnt this shown up in everyday life? it seems like its been funded heavily but like many techs it seems slow to get out to where everyone can afford it . phones took 25 30 years maybe .
"maybe we can elect some engineers to office as well" With all due respect, Lex, before making that wish I think you may want to study some economics, public choice economics in particular, and perhaps some history, e.g., Crisis and Leviathan, which I think is appropriate at this time.
35:55 Well what's human performance on that safety critical task? Answer: not 99.9%. So why subject the machine learning system to that kinda requirement
Time wasting.when we alreadyhad antigravity.technology available.please Google search emreySmith and cooreygoodey..these two people's can give you the correctanswer.
I really enjoyed this conversation with Vijay. Here's the outline:
0:00 - Introduction
0:58 - First robot
3:37 - Proudest accomplishments
5:32 - Drone, UAV, aerial robot terminology
6:23 - Biologically inspired robotics
8:34 - Swarm as an individual organism
11:18 - Distributed control
15:04 - Types of flying robots
19:57 - Math in a TED talk
20:29 - What does it take to make a robot fly?
27:09 - Getting from point A to point B
29:22 - Machine learning in robotics
33:53 - Autonomous vehicles
37:05 - Autonomous driving vs autonomous flight
38:52 - Applications of robot swarms
40:12 - Batteries
42:30 - Flying cars
44:03 - Robots and humans
49:48 - Sci-fi inspired fears of robots
52:22 - Open problems in robotics
Thanks Lex
You're the man
When Indians start celebrating scientists/engineers like him instead of creepy actors and politicians, India can become super power !!
Yes
Agreed
But my opinion is multi party system is one is the major part in the declining human intellect in India. Not only in south but also in North India.
Every guest in your podcasts is amazing!
This is so cool! Quality podcast with quality personalities indeed.
So many postive comments for this and for many of Lex's interviews. I agree with all of the positive comments. Ah, to be able to snap my fingers and to find that I am in my late teens and in college again. That is the desire that listening to these interviews ignites in me. 🌻
so nice to see Penn getting recognized!
Very humble for your podcast! Appreciate this channel truly.Thanks
My favorite interview so far. An incredible thinker and speaker, I can see why they made him dean.
Lex, so far, in my experience, you are the only person on RUclips whose videos are so carefully organized and documented in terms of discussion matter and time. Especially for such advanced topics. You can simply select a defined point in the video that you want to hear or re-listen to without having to manually scroll through and waste time. Your extra hard work doing that for us makes watching your videos an absolute pleasure to listen to. Thank you and keep it up.
Thanks Lex! Very interesting conversation that gives general audience a sense of where we are at for robotic technology. Certainly will inspire the next generation of engineers!
Excellent questions and insightful discussion. As always. Thank you
Lex: just started watching ur interviews...They are great! I could say more but it is true that simplicity is beautiful thing. Vijay seems like such a nice guy and very intelligent; aigh, and patient...
listening to Vijay talk about the 'energy problem'. It reminds me of the human problem with satisfying energy requirements for our own brain, using tools and finding better ways to gather/trap/harvest food. (Homo Erectus, ~1.8 million years ago)
Very nice conversation, saw it at 2x speed. Liked the last part of it where Vijay emphasised the importance of mathematics.
Some great words at 52 minutes and change! I’m so glad I decided to listen to ALL of your podcasts from the beginning to an end
My dream would be to a PhD under his guidance
Just do it !
Great interview.
Very enjoyable talk, thanks!
Великолепное интервью. Спасибо, Лекс за интересные вопросы. С нетерпением жду новых гостей у тебя на канале. Удачи!
I guess you want to say russians must have built this during stalin times and i know that
Excellent discussion from bright minds. Thanks.
17:30, 20:00 agility real means and mathematics giving goosebumps still watching lets see how much more goosebumps coming up, 33: 00 is he talking about navigation and action in outdoor, unstructured , dynamical environment. the actual problem in robotics, in last 52:22 open problems , the importance of representation .... now i may not be able to sleep for few weeks properly... all i got to know that my approach is on right track.....
Vijay is an interesting dude and his comment on designing at a 'higher dimensional whole' should be implemented in all AGI design in particular in artificial cognition to capture amazing advantages. It also highlights how higher levels of human co-operation (as a whole) across all types of humans would lead to a greater AI whole. The other option is to hide safely behind our intellectual gates and avoid sharing with those on the outside. Time is finite, I prefer the former.
I was waiting for this!!!
Its cool
Amazing
And
Outstanding..
Vijay Kumar class/course must be amazing
Gabe Hernandez yeah it's amazing. Try taking his course on Coursera... The course is titled as "Aerial Robotics"
Awesome guest. This dude is sharp and has a total understand.
"deform these objects on the fly" @4:16 #Nerdgasm ;)
it's 2021. where are we now?
Amazing
This was a fascinating episode.
Amazing and inspiring
Thank you Lex, I would likely not appreciate these if u couldn't skip to specific minutes. A1
Thanks vijay and lex!
The name says it all....... He's an Indian and an IITn as well.
That's fine! But please don't follow dan lock for sales advice!... Ok bye
Here's the idea for home delivery ... Raise the packages in a blimp in the morning, deliver the packages with a mostly gliding robot that drives back to the blimp for the next day.
Check out Vijay's (U of Penn Robotic Course 1 ) robotic course via Coursera. I believe in Udacity, also.
"The days where politicians can be agnostic to technology are gone."
nice
My question is why after half a century hasnt this shown up in everyday life?
it seems like its been funded heavily but like many techs it seems slow to get out to where everyone can afford it . phones took 25 30 years maybe .
He looks like a saint.
Great podcast, Lex. I would suggest just one little refinement.
Keep the bottles out of the frame )
Professor Vijay's swarm idea really stroke me when I first saw that on Ted. It's really a petty there is no open-course of his or some github codes :)
You do mention every time that you talked to Mr Musk, don't you? -Ajejejeje... There is no humble way to do that.
It was relevant rather than a contrived attempt to name drop. So your assumption of the need for humbleness is moot and specious.
"maybe we can elect some engineers to office as well" With all due respect, Lex, before making that wish I think you may want to study some economics, public choice economics in particular, and perhaps some history, e.g., Crisis and Leviathan, which I think is appropriate at this time.
35:55 Well what's human performance on that safety critical task? Answer: not 99.9%. So why subject the machine learning system to that kinda requirement
You can deform these objects... on the fly
looks like I'm view number 14
Time wasting.when we alreadyhad antigravity.technology available.please Google search emreySmith and cooreygoodey..these two people's can give you the correctanswer.