nVidia: "It just works!" Explaining Computers: "After extensive assembly and configuration it does."

Jetson nano is a ridiculously powerful platform for the price. I'm using it for high speed machine vision to monitor manufacturing process in real time and this beauty can record 200fps in 720p and it can easily process 100 frames per second with a simple detection algorithm. We are living in the future. 10 years ago this would be a huge challenge even for a desktop PC not to mention that there was nothing in place to capture such high frame rates in real time and process them simultaneously.

All I can say is "Wow!" Very impressive hardware and software package!

Sundays are exciting; I never know what Chris will present to us next. Great as usual!

Excellent review & demo Chris of the Jetson. Interesting to know the amount of pictures you took to train the Jetson. Well done

This video helped me appreciate my Subaru's "Eyesight" system even more. Thank you Chris.

I thoroughly enjoy your videos. This one in particular is one of the coolest I've seen on your channel. Thank you for the hard work you do.

I was just leisurely watching, but instead I learnt something that I need for my school assignment :D I just learned from your video how to train a data set for visual detection! Thank you so much!!

That's awesome! Thanks for making my Sunday again!

This is quite interesting. I worked as a Field Engineer for a company call Intelligent Reasoning System Inc. back in 2001/2002. They made capital equipment for installation on an electronics manufacturing line for use in Automated Optical Inspection of PCBs. We used an early form of image training (the founders of the company also wrote the software for the terrain tracking algorithms for the Tomahawk cruise missile and adapted those to this application) with statistical analysis within a set standard deviation. The system worked well and it is very similar to what you demonstrated here with the Jetbot. We would train examples of good images and bad images of electronic components on a PCB and for each false call, we would train that as a bad actor. Over the course of the manufacturing run, the system would become more and more accurate. Good stuff indeed. Keep the good material coming! I am considering getting one of these to teach my daughters not only Python, but machine learning in general...

I have a nano sitting on my desk for a month or so now... finally I found something cool to build with it! thanks for the video!

Congratulations on your first trained neural network!

Very, very interesting. I finally got at least a general idea of how neural networks are trained. Thank you!

A useful presentation you have given us, pointing out that AI can be other things apart from analysing numbers or text ! In fact you've made us sit up and take notice ! So THAT'S how a self-driving car parks itself ! Thank you for this enlightening demo !

Mr.Barnatt another great video. I learn so much watching your videos. Thank you.

Fascinating and well presented. Thanks Chris.

This is very interesting. Great video and demonstration.

Since watching your wonderful channel my "want to do " list never ends. Thank You!

Amazing !! I bought the Nano today and I am very excited to start experimenting with Deep Learning on robots. This is a very motivating video. Thank you.

Alright, this is a bit more challenging. Definitely have to try this one. More of this please! Keep those great videos coming. Really enjoy them.

If Mr. Scissors found a way to mate with it and breed, they would rule Earth by Thursday

Back again with another interesting video. The Nvidia Jetson Nano is interesting

Thanks for another interesting video. I always learn something new after watching an episode of Explaining Computers.

"Bring me to your leader...!" All right, all right.... We're not there yet with the NVIDIA JetBot! Quite interesting prospects, though. Thank you for the educational presentation!

Fascinating! Nice little robot. Never would have guessed it uses an image library to navigate. Like the table too!

Truly fascinating to watch! Thank you.

I hadn't seen this video before. I must have been on a trip then. Great video as always. Greetings.

Chis i got your coffee mug and added it to my collection! very nice and proud to display it!

Very Cool! Looking forward to your next video.

Thanks for sharing the project Chris. I sure hope Nvidia makes these kits available for educators as this really is the Lego Mindstorms of the 21st century!

A great class room project platform. Computer science lab now has a low cost system to work with. Thanks for sharing this wonderful SBC computer Chris.

Hello Chris👋🏻 Great job you did here. Amazing little robot! I recently included ML and NN in my learning schedule, so this is most beautiful example I've seen and a excellent ground for tinkering/experimenting/learning! Fascinating!

Love it!! Thank you for your time!!

Fascinating. Absolutely Fabulous. Thanks

Totally mindblowing video! I just wish that Nividia sold pre-assembled JN-AI Robots versions so that we can just focus on building the software and learning more about training a neural network which is for me the main goal. Thanks as always for an interesting video!:0

Great video. Thanks for sharing!

This is one of your BEST videos. I'd favor the company creating a kit of parts. Like Heathkit used to. Then you'd know the parts should work after assembly. I'd also like a BEGINNER's PRIMER on programming the neural net robot. But overall, "Bravo!"

"Something like that" is a buzz phrase I will be using from now on.

another amazing video!

I like this video sir, very informative..I made a terminal controlled rover but I without microcontroller or SBC ..

Wow, I wanna play with that. Plus the commands seem rather intuitive. The commands kinda remind me of that old graphics program called Logo Writer.

Interesting video as always Thanks for sharing :-)

great channel, i love all your work, thank you!!

Well technology has come a long way. I remember a robot doing obstacles course about 20 years ago. It took a long time just to move. The ultrasound sensor is a lot faster back than. Now it has catch up. Great video as always.

This old man never get old

Impressive, I managed to write a simple IA script this week, as in copy it and get it to run, and that was a real first. It didn’t really do anything as such, but I could see the code working and that helped me get my head around things. Really, I struggle with all this and always will but just making some sense of it helped. My 10-year-old son will hopefully do better and having something like a robot will be more meaningful than my naming game. A £100 price point seems about right for this, especially as it should be extensible and it is the code that is what it’s all about, and you need affordable so there's access. Hopefully you can have say a team of 4 kids with one Jetson to build a project. £25 each isn't a complete killer over a year, say £1 a week- even those on very low incomes should be able to support that. To be honest though, I’ll always be a hardware man at heart so the Jetson is a bit lost on me, I’ll only turn it into a Kodi box or games emulator. EDIT: I do wonder what Raspberry will come up with, clearly it won't be Jetson standard as Nvidia are miles ahead on this stuff and have massive budgets. The same for AMD, I just wonder there, they have supposedly invested some money in IoT/Embedded but I think they will be in a very different direction- could be wrong but more 86 64 and industry utility stuff- certainly not self driving cars.

I can imagine networked robots of this sort, each perhaps in a different school, racing around a common virtual racetrack or in battling in a common virtual battlefield. In actuality each school's robot would be operating on an agreed upon real physical space (a school gymnasium), but playing on a common virtual space, populated by virtual robots being generated by the physical robots in each location. The winning robots would be the ones with the best-programmed algorithms supplied by the students.

This was a great video, please do more videos on AI and programming

Ty for the video :)

This would be a good project to use to train an autonomous lawn mower. The direction changes need to be in a bit smaller increments so it doesn't just turn too much at once but just a little and retest for obstacle. If all the information can be stored on SanDisk card and saved then the trained brains/program can be moved to a bigger robot and have the "Blades of Death" (lawn mower blades) installed and turned loose safely to mow the lawn.

Very interesting video....thanks.

Thank you yet again! THAT IS PART OF MY "KING PROJECT". i want to automate lawn tractor mower to mow lawn using visual and distance sensor for obstacles but program to mow in a pattern. Learning properly to go around objects on eventually both sides to keep mow pattern. One thing I have not figured is to read where grass has been cut verses the next cutting row of taller grass. Unless it uses "mapping" and location to determine the next row. That would make sense. The servo motors for steering and such I have to figure out with experts in that area. There is one company that has pattern mowing already. I am discussing selling "kits" to install on older mowers already purchased. They seem interested. but that will have to wait as I have to many automation things to complete first. Also paint a workshop barn/office. Insulate, run wiring, and interior walls and set up work table, hand tool storage organized on wall. (I am building skeletal arm that requires servo motors camera and nvidia to run it. Helper Arm to pull tools and put them up when finished. I have 4 months to also setup garden, water retention, sensors pumps water lines. This year with no garden I grew the most delicious Pineapples, Lemon grass, tomatoes, and seasoning herbs...playing around. I need some automation interested people to assist with this project. amazing the blue print for automation has grown substantially. I guess it will take 2-3yrs to implement fully. I would prefer that 24hrs a day over any other option to spend time on.

Thank you for this video. The definitive test would be to train it to follow the voice command : “Robot, get me a beer!”

Thank you, Mr. Barnatt, Explaining Computers, My jet bot would be using vintage fisher price contrux.

It is very nice Video and usuful for us to learning about AI project. Many thanks.

Now I no longer need a Tesla for self driving car. I can make my own haha

I was hoping for a jet-powered robot, but I suppose making machine vision robots easier to use is pretty cool... (btw, using a powerbank as the battery is a really smart idea, makes battery management easier for newbs)

Hi Chris. Nice video. I caught the pun EYE instead of I, Robot, nice one. Robot vision will interest me more when I can be inside a self-driven car. Cheers.

A very interesting video.

Pretty amazing.

It í very nice video and useful for our project.

Thank you sir 🙏 🙏 🙏

i like your videos , thank you

that's really cool.

Interesting.. I like this product.. Thanks.. Greetings from indonesia..

Brilliant.

Lovely. Awesome..

the birth of the jetbot whisperer ;-)

Would love to see you expand on this robots capabilities! :D how about a hand that can grab drinks from the fridge? Okay a little ambitious, buuut possible I guess :D

Great to see that NVIDIA uses PyTorch!

It's alive, it's aliiiive

Impressive. I was wondering if the nano module can be used on Xavier NX developer kit, as the Nvidia documentation state they share same pin out. Already have the nano module but eyeing the NX development board with it support for M.2 drives support

Greetings Chris!. Expecting some review about the up-board.

Great video Chris, as always! One question, though - during the "table top" demonstration, if you were to place a blockage in front of it, would it still attempt to change direction? I ask this as it seemed you gave it specific examples to work with during that activity.

Good robot. Robot move only straight and turn left. For this hardware its not poor. Again nice video.

This is very cool! Now can you program it to search for a rabbit?

fascinating

Pretty cool.

Hello UNCLE how are u Your this video is amazing Very very good project thank you

I am finding sponsors! The used mower I purchased. The brand Company has not produced in 7+ years. However, without asking they shipped me many new parts they had stored for that model mower. I will purchase the remaining 3-4 small items from them. Mower will be better than NEW.

thank for share

that is awesome

wait a second, i got a 1hour ad before this video? wow. interesting stuff but wow.

Great video as usual. Thank you for sharing and explaining the whole operation of this demonstration. I noticed that the machine turn in one direction only. Is this usually the case? Or can it choose to go the other direction if needed?

7 years later he hasn't changed at all :D just watched the big data video

Hi Chris, bit late to this party - sorry. Do you think a lidar module would integrate well with this project, a combination of visual and 3d mapping would be quite cool. Plus, on a more robust chassis like the Devastator (?) robot chassis you used on the pi controlled series could be a useful tool for hazardous area searches etc. It would be interesting to see you do a video or two on such a project. And quite educational. Now it's time for me to catch up with the rest of your videos that I've missed. Cheers!

nice one. after 5 year, those things can be much easier

Move aside laser pointer, the cat has a new toy.

Hi Christopher, Thanks for the great video. Did you find the bot to be energy efficient? Or did running the NNs drain the battery quickly?

Hi Chris. Another great and interesting video. Any idea why the robot only turned Left in collision avoid mode? Seems like it was only made to avoid by going Left

Thank you for doing this video. I have played with the nano but have not looked at the robot feature. Question: the robot seemed to favor turning in one direction for avoidance most of the time. Is that a random variable - like flipping a coin - or is the robot taking additional information before making the decision which way to turn?

Very cool Chris. Of course it's 'simple', stuff like this starts out simple (you Arduino & Raspberry Pi blinky lights folks will know what I'm talking about... You can learn a lot from blinking those lights! ). Does Nvidia show you (or give access to) the code for this? Like another commenter said, possibly you could modify or extend the code for more functionality. I'd love to build one of these and examine the possibilities. Thanks for another great video Chris.

Great video. I wonder if you could fit a PIXY camera on the Devastator chassis and so something similar. The PIXY camera can also be trained to recognize specific items and colors. I have thought to build a robot based on one you have built in the past that drives around and seeks out scorpions around my house. Sound like science fiction but with the available single board computers and hardware I think it is very doable.

Jetbot should be named Dale because he only turns left.

Absolutely fascinating. How can you prevent it from getting into a loop? Maybe switch between turning left and right alternately?

On a similar note Chris, have you seen the Tesla Autonomy Day presentation on KZfaq? The first part details the bespoke chip build used for full self driving that I think you may find interesting.

Would be interesting to see the least number of training data images it takes to work effectively.

wow very nice project. 🥳 I sure miss the old Heath-Kit days. When it was a turn-key project with everything in a box and a great manual. Need a Teach-Kit company to replace Heath-Kit?

I like robots and AI I wouldn't mind having Mr. Scissors as a AI robot

This can keep you busy for hours! This is a nice toy (with an excuse) in the name of science!