The RRT path planning algorithm simulated with python | part 1

[@tommytran5962]

Thank you for making these videos free and available to anyone and everyone.

[@isurucumaranathunga]

This is the best tutorial I found in the internet for RRT algorithm. Thanks a lot

[@CUSenthilKumar]

Hey, I tried this part of coding and it was impressive..Nice presentation. You are doing a great job.

[@dooyounghong2464]

I always thanks you for your easy description.

[@yuka1367]

Great!!!!! I really like the SLAM and RRT stuff!!!!!!!!!!!!!!!!!!

[@juxyper]

great work, I'm surely not thinking of using pygame for my own implementations, but this has been really nice to look at while (trying to) making sense out of some RRT papers. It is quite funny how some set-related formulas and theorems and whatnot just boil down to just drawing straight lines and weighting, or similar things in application (and it does make sense mathematically either!)

[@hobby_coding]

William Golding: “The greatest ideas are the simplest.”

[@yossepbinyoum2181]

Your videos deserve more views and like. Thank you anyway. But i have a question. How do yoy do if you to implement The RRT algo in real world robot bc obstacles positions are totally unknown at the beginning ? Are you going to use a radar to detect objects and then feed algorith entry with thoses obstacles positions ?!

[@raybairamz5574]

Thanks for the great video,any update on RRT* ?cheers

[@Mohammad-vr9dj]

Hi, Thank you very much indeed for your useful videos. Sorry, could you please update your tutorial based on RRT* ?

[@billycop]

Hi Algobotics Nice video! At line 88 you have an indent to much. The output will only show a single gray box instead of them all.

[@karasaid1]

Thanks for everything. But, It would be great if you could put English subtitles. It can be translated into other languages ​​more easily.

[@Rohan-ep2hu]

Great Work!! Can you make tutorials on simulation in MATLAB and Simulink??

[@juxyper]

plenty of such tutorials are already on MathWorks' own documentation pages. They are quite easy to follow either, I'd recommend those

[@juxyper]

though I'd suggest looking a bit deeper into Runge-Kutta methods and ODEs in general as a preliminary thing. The point is that the programming is the simpler part of simulation (simple algebra for most of the part if you want to do a single equation, you need to know how to handle cell arrays if you want systems of equations or state-space equations in general), but the maths part is more significant and kind of heavier in content.

[@yatishv8063]

RRT* algorithm is faster and even optimized thn RRT algorithm.... Can u make a video of RRT* algorithm sir and if any codes are available can u share please.

[@hobby_coding]

sure RRT* is better than RRT , i'm trying to draw attention to these algorithms so I'm planning to make a tutorial on RRT* , code will be available soon

[@yatishv8063]

@@hobby_coding Thank you sir, waiting for the upcoming videos. 🙂

[@abhishekpattanshetti6771]

@@hobby_coding Please we are waiting................................................

[@Anonym-qe2di]

👍 nice

[@hobby_coding]

Thanks , more is coming soon

[@robinc5083]

Hey! I love the video but upon running the code I got an error. RRTbasePy imports something called UnixDefaultEventLoopPolicy and says , ‘signals are not really supported in Windows’. Is this a problem you are familiar with?

[@drilyasmeo]

Great job by Algobotics!

[@hobby_coding]

Thanks a lot!

[@kashifkhalid6094]

Have you used used online motion planning Algorithm ompl ?

[@hobby_coding]

not yet

[@bionic3604]

Whats the difference in code for a A* algorithm

[@kamyarothman8157]

hello, I have question. since I am a beginner I fee that is complicated and may be doesn't need to be so long, what is the logic behind that ? thank you

[@mr_ocelot]

Can we get the source code...