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Best practices and teamwork for student competitions

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Results for: Robotics

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.
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 >>

No Robot? No Problem! – Program Robots Using Simulations 2

Posted by Christoph Hahn,

Today,  Jose Avendano Arbelaez shares another guest post with us. Make sure you let us know your thoughts in the comments section.
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Robotics programmers have been putting more emphasis on simulation for both hardware and software design. Here are a few reasons why:

You may not have available hardware, or selecting… 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.
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…

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 2: Dynamics and Control

Posted by Sebastian Castro,

In this blog post, Sebastian Castro will talk about robot manipulation with MATLAB and Simulink. The previous part discussed kinematics (if you have not read it, we recommend you do), while this part discusses dynamics.
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To motivate the importance of low-level robot manipulator control, I want to introduce… 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 >>

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 >>