For the next two blogs Jose Avendano and Matt Schafer collaborated to develop and incremental tutorial on how to use dynamic 3D simulations for robot design and programming. We will be teaching you… 更多内容 >>
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… 更多内容 >>
For today’s post, I would like to introduce you to Raftar Formula Racing from Indian Institute of Technology Madras. They recently won the Formula Bharat 2020 in the combustion category. The team… 更多内容 >>
This week’s post is by Owen Paul, who works on the MathWorks Student Competitions Program team.
Introduction
Many companies are using Simulink particularly in the fields of automotive, robotics, and… 更多内容 >>
In this post, I will discuss robot modeling and simulation with Simulink®, Simscape™, and Simscape Multibody™. To put things in context, I will walk you through a walking robot example (get… 更多内容 >>
MATLAB and Simulink Release 2019b has been a major release regarding automotive features. The following article focuses on the automated driving highlights, namely the 3D simulation features. These… 更多内容 >>
NOTE: While this post will talk specifically about manipulators, many of the concepts discussed apply to other types of systems such as self-driving cars and unmanned aerial vehicles.
Trajectory… 更多内容 >>
Todays guest bloggers are Erin, Matt, Kattly, Greg, and Andrew of the McGill Formula Electric team at McGill University in Montreal, Canada. They’ll explain their success story and why… 更多内容 >>
In MATLAB R2019b, there are major product updates and new toolboxes. You can look at the release notes for a complete list, but this blog has the capabilities I find most exciting and relevant to… 更多内容 >>
Today, Jose Avendano Arbelaez shares another guest post with us. Make sure you let us know your thoughts in the comments section.
– –
How did you get into Robotics?
This is a question that I am often… 更多内容 >>