Dynamics & Control Systems in Webots Robotic Simulator
By the end, you won't just understand how robots move you'll understand the dynamics, feedback control, and navigation algorithms that make them think. Supercharge your engineering career today!
This course includes.
Curriculum & lectures.
+ 01 Foundations 2 lectures
+ 02 Robot Kinematics & Open-Loop Control 4 lectures
+ 03 Sensors, Feedback & PID Control 5 lectures
+ 04 Autonomous Behavior 2 lectures
About this course.
Step into autonomous robotics by programming real control systems entirely in Python, from physics simulations to self-navigating robots that dodge obstacles on their own.
You'll get a good understanding of:
► A fully simulated robot in the Webots 3D environment
► Sensor models using encoders, IMUs, and distance sensors
► PID controllers for speed, steering, and line following
► A finite state machine that governs autonomous behaviour
► A Braitenberg vehicle with fear, aggression, and explorer wiring
► A potential field navigator that blends goal attraction with obstacle repulsion
► A Bug algorithm robot that wall-follows its way to any goal
✔️ Lifetime access to all modules
✔️ First-time exclusive Humble Bundle launch
Ready to start building?
By the end, you won't just understand how robots move you'll understand the dynamics, feedback control, and navigation algorithms that make them think. Supercharge your engineering career today!