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2023 `BEST Simulink Summer Workshop Online Series
The BEST Simulink Summer Workshop Online Series will introduce students to programming robots using MATLAB and Simulink.
When and where
Date and time
May 24 · 3pm - June 28 · 4pm PDT
Location
Online
About this event
Learn how to program mobile robots for BEST Robotics using MATLAB and Simulink through this series of six 60-minute online classes held weekly. Each class will add on to the previous week’s lesson, so it’s recommended to attend all 6 classes. Time will be provided after each lesson for Q&A. All are welcome to attend—no experience with MATLAB or Simulink are required.
Topics covered:
Class 1 (May 24th):
- Introduction to programming using MATLAB
- Programming basic robot movements
Class 2 (May31st):
- Introduction to robot simulations using Simulink
- Programming interactive robot controls
Class 3 (June 7th):
- Using a distance sensor for autonomy
- Hardward basics
- Hardware demo- proportional motor control during obstacle detection
Class 4 (June 14th):
- Creating custom functionality
- Hardware demo - External mode Robot Sensors & Actuators
Class 5 (June 21st):
- Task sequencing with flow diagrams using Stateflow
- Hardware demo- IR sensor line follower
Class 6 (June 28th):
- Programming of maze-solving robots
- Hands-on programming task
Software access:
Get software, install it and install Robotics Playground from Add-ons Explorer
- Contact technical support with installation issues
- Contact roboticsarena@mathworks.com for any other showstoppers
Get full workshop files from this link. Download first then go to Examples/Lessons (No need to reinstall Robotic Playground):
Be Sure to Register for EACH WEEK
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About the organizer
BEST Robotics is a national nonprofit that provides STEM Education for workforce development through a FREE afterschool program and competition for students in middle and high school. We are committed to inclusivity and accessibility and determined to overcome the barriers that have led to the underrepresentation in STEM fields of student populations of certain economic status, gender, and geography.