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Best practices and teamwork for student competitions

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Results for: MATLAB

How Do Autonomous Systems “See”?

Posted by Sebastian Castro,

Sebastian Castro is back to talk about sensors in autonomous systems, supported by a few example algorithms and student competitions that use low-cost hardware platforms.
Introduction
There are many challenges around the world that focus on learning autonomous perception and navigation using low-cost ground vehicle platforms. Here are a few that we… read more >>

RoboCup@Home Education: 2018 Update

Posted by Sebastian Castro,

Sebastian Castro is back to talk about his top 2 professional interests: robotics and education.
The RoboCup@Home Education Challenge is a robotics education experience based on, and built into, the worldwide RoboCup competition. This initiative is headed by Prof. Jeffrey Tan from Nankai University, who has been involved in RoboCup for many… read more >>

Machine Learning to the Rescue! 2

Posted by Christoph Hahn,

MathWorks was recently at RoboCup 2018 in Montreal, Canada. Over the 7 days of this event, we got a lot done. In this post, Sebastian Castro will discuss one of the collaboration efforts he worked on.
Introduction
One of my favorite things about working with student competitions is the chance to collaborate… read more >>

CFD Modeling using MATLAB 1

Posted by Christoph Hahn,

In today’s post, Wojciech Regulski introduces you to modeling fluid dynamics using MATLAB. Wojciech has a PhD in mechanical engineering from Warsaw University of Technology, Poland, and has specialized in Computational Fluid Dynamics (CFD) in his research work. Wojciech also co-founded the QuickerSim company that specializes in development of  fluid flow simulation software.
– … read more >>

Computer Vision: A “Deep” Dive and a Complimentary Online Training

Posted by Christoph Hahn,

In today’s article, our guest blogger Connell D’Souza who already introduced you to app building, will talk about how you can learn to use MATLAB for Computer Vision for autonomous vehicles.
Deep Learning vs. Computer Vision
Deep learning for vision promises quicker and more accurate detections. As expected student competition teams have… read more >>

Robot Manipulation, Part 1: Kinematics

Posted by Sebastian Castro,

In this blog post, Sebastian Castro will talk about robot manipulation with MATLAB and Simulink. This part will discuss kinematics, and the next part will discuss dynamics.
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Crash Course on Robot Manipulators
Let’s start with a quick comparison of kinematics and dynamics.

Kinematics is the analysis of motion without considering forces…. read more >>

Why Use Apps?

Posted by Christoph Hahn,

I asked Connell D’Souza, today’s guest blogger, that exact question. His answer was short: “REPETITION. INTERACTION. AUTOMATION.” In the following, Connell will share his experience from a past job and illustrate some options we have. Enjoy!
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Most of us use a multitude of apps every day for almost everything from… read more >>

Preparing for the RoboCup Major Leagues

Posted by Sebastian Castro,

The Racing Lounge is back from Christmas break. I wish you all a succesful and healthy 2018!
In today’s post, Sebastian Castro discusses his experiences with a robotics workshop he helped deliver at the RoboCup Asia-Pacific (RCAP) event in Bangkok, Thailand.
As a reminder, MathWorks is a global sponsor of RoboCup which comes with many benefits to student… read more >>

Getting Started with MATLAB, Simulink, and ROS

Posted by Sebastian Castro,

Sebastian Castro is back to talk about the basics of connecting MATLAB and Simulink with the Robot Operating System (ROS).
Overview
Robot Operating System (or ROS) is a commonly used framework for designing complex robotic systems. It is popular for building distributed robot software systems, as well as for its integration with packages… read more >>