In today’s post, Liping from the Student programs team will share how a student team used MATLAB and the PX4 platform to design an underwater robot and won the China Graduate Electronic Design… 더 읽어보기 >>
Our previous blog post, walked us through using MATLAB to label data, and design deep neural networks, as well as importing third-party pre-trained networks. We trained a YOLOv2 network to identify… 더 읽어보기 >>
In this post, Jean-Paul Marcade talks about how MathWorks tools are helping teams at La Coupe de France de Robotique and Eurobot robotics competitions. Jean-Paul is in the Engineering Development… 더 읽어보기 >>
Today’s guest post is by Maitreyee Mordekar. Maitreyee is in charge of the MathWorks student drone competitions. She’ll announce the MathWorks Minidrone Competition and share essential information… 더 읽어보기 >>
This post is the first of a loose series in the racing lounge blog featuring highlights of the AutoDrive Challenge™, especially those around modeling and simulation.
Figure: Panoramic photo of all… 더 읽어보기 >>
I would like to start by wishing all of you a Happy New Year! In the spirit of the New Year and trying out new things we want to introduce you to our latest series of student competition tutorials on… 더 읽어보기 >>
Today’s guest post is by Maximilian Mühlbauer. Maximilian was head of autonomous driving at TUfast Eco for the last season and will share their autonomous journey for the 2018 Shell… 더 읽어보기 >>
Today’s guest post is by Maitreyee Mordekar. Maitreyee is in charge of the MathWorks student drone competitions. She’ll be sharing first hand experience from an event where students were… 더 읽어보기 >>
Today, Jose Avendano Arbelaez shares another guest post with us. Make sure you let us know your thoughts in the comments section.
– –
Robotics programmers have been putting more emphasis on… 더 읽어보기 >>
A Unique Support Package
Speedgoat and MathWorks are offering a unique support package to select Formula Student teams.
Apply now: speedgoat.com/company/formula-student-sponsoring
Some… 더 읽어보기 >>
