Arduino Machine Learning Robot Part 2

preview_player
Показать описание

I built machine-learning robots with Arduino and LIDAR and then made them race!

🇵🇱 Polish channel: @prosteczesci

Subscriber count at the time of upload: 118 742
Рекомендации по теме
Комментарии
Автор

I also worked with the A1 RPLidar for my project, a stair climbing vacuum robot, and I also managed to get data from the LIDAR with my Arduino Mega, but the problem is, that it is not that much data like it is when you use it with ros2 and a raspberry pi or something like that. That is why I made my tolerances for measurement bigger to be more safe.

b_eberle
Автор

By using the actual bot instead of simulations, you’re capturing the true, dynamic responses in real-world scenarios, which will undoubtedly enhance your bot’s performance. Incorporating a penalty for each collision is a brilliant way to raise the stakes and teach it to navigate even better. I'm genuinely inspired by your work—your progress has motivated me to step up from software to hardware development. Keep pushing forward! With this level of dedication, I have no doubt your racing cars will be achieving remarkable results in no time. Amazing work!

satyamjha
Автор

You always provide super great video content/quality (the music was great and timed really well), and your projects are awesome! Keep up the great work!

MarxTech_DIY
Автор

the noise is in those breadboard pins, my friend.... solder, solder, solder ;)

ChrisLocke
Автор

To push this project further and further to this point, really cool and impressive!

mattimotion
Автор

It surprises me the algorithm hasn’t picked this video up yet

Me-
Автор

You can make them as a micromouse to solve the maze the fastest

gamerlifeon
Автор

Really cool to see this data-oriented way of improving the system and its performance. This kind of work is really critical for real-world embedded ML usecases, and this perspective is often missed by a lot of the educational material out there today. Cheers! Jon, creator of emlearn library, a tool to deploy Random Forest et.c. to microcontrollers

Jononor
Автор

Wow, I’m so excited for the new video!

RemoteAccessGG
Автор

Nice! Now what a cool robot would be is a Vector Robot with a brain using a Jetson Nano. Never got around to it, but wanted to build a larger scale version of the Vector Robot and have it explore the house to find small objects to pick up and take home.

OZtwo
Автор

Cześć! Uwielbiam twoje filmu, bardzo mnie motywujesz, dzięki ci za to!

juliankordynski
Автор

It seems the slow robot tries to avoid colliding with the overtaking faster robot. Maybe you can train it to ignore if the distance to a (near) obstacle increases. But maybe that is not important.

edgar
Автор

Very cool!
Just curious about the open pit/death trap/stairwell thing in that space...
Is it just unfinished construction?

StubbyPhillips
Автор

Awesome project!
Wondering how many times they fall of the stairs.

FixDaily
Автор

Indeed, I like your videos very much!

PhG
Автор

I just came across this. Would be interesting to see the performance compared to a neural circuit policy or liquid time constant algorithm, since they are supposed to perform better with smaller datasets and smaller model sizes. A python library exists that provides templates for tensorflow and pytorch, but unfortunately not sklearn.

PixlRainbow
Автор

i am do with some kind things with lider sensor and this is very informative

prasadpatil
Автор

your a great creator i should have subbed sooner
:)

An_Ancient_Space_Gamer
Автор

Which LiDAR module would you use if you did this again today? Are there better one today for DIY stuff?

daviniusb
Автор

R4... Great use of it, congrat! Shame about poor connection, have you consider connecting to homemade PCB? Less noise I hope. (Use the R4 connected to PCB, shorter link)

cheetahkid
welcome to shbcf.ru