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Best practices and teamwork for student competitions

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Results for: Robotics

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 >>

Autonomous Navigation and Planning: An Online Training for Mobile Robotics

Posted by Christoph Hahn,

In today’s blog post Jose Avendano Arbelaez, who already blogged in the racing lounge will introduce you to  a video series of training materials that will enable your team to get started with designing and simulating common mobile robotics algorithms in MATLAB and Simulink.
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MathWorks supports many different types of… 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 Christoph Hahn,

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 >>

Preparing for the RoboCup Major Leagues

Posted by Christoph Hahn,

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 >>

Project-Based Learning: Five Key Features To Motivating Students 2

Posted by Christoph Hahn,

Many students I know take issue with Plato’s famous quote: “Students are lazy, disengaged and have bad manners” (The Republic VIII, 562b-563e). Stepping back from the ‘bad manners’ accusation, engaging and effectively teaching bored students can be challenging and the reasons behind haven’t become clear to me for quite some… read more >>

Solver Choice for Simulink and Simscape 3

Posted by Christoph Hahn,

Introduction
This blog post intends to provide best practices for choosing solvers in Simulink and Simscape. Gratitude goes to Tom Egel and Erin McGarrity whose materials are the foundation for anything written below.  This article is certainly not aiming to replace the rock-solid documentation about solver choice, it is complementary and… read more >>

Getting Started with MATLAB, Simulink, and ROS

Posted by Christoph Hahn,

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 >>

Robot Modeling and Simulation: A Walking Robot Case Study 5

Posted by Christoph Hahn,

Today, my robotics colleague Sebastian Castro is back for another guest blog.
Before handing it over to Sebastian allow me a short note. My colleague Steve Eddins recently started a second blog on MATLAB Central, this one about Deep Learning. If you are interested in learning more about Deep Learning please visit his Deep… read more >>