Balancing Robot Design Course using the STM32 MCU: DC Motor Control, IMU Integration, PID Controller, and RC Joystick integration - Why Every Robotics Engineer Should Build a Self-Balancing Robot
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21 learners
What you'll learn
This course includes
5.3 hours of video
Certificate of completion
Access on mobile and TV
Summary
Full Transcript
In this video, I present the content of the self-balancing robot course and explain why this course could be the best place to learn robotics.
DC Motor Control: Theory, Motor Drivers, PWM signal generation
Incremental Encoders to estimate the position/velocity of the robot
Proportional-Integral-Derivative (PID Controller): theory and implementation
Moving average filter
RC Joystick Integration
Attitude estimation: tilt-tangle estimation using an IMU sensor
Linear Quadratic Regulator
Stepper Motor Integration
PCB Design
00:00 Why did I make this course?
01:33 Why building a self-balancing Robot matters
03:25 Topics to be covered in the course
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