Understand how sensors, controllers, and actuators work together in closed-loop systems to deliver desired performance.
Learn to stabilize and regulate robotic actions by combining reactive (feedback) and predictive (feedforward) strategies - think self-parking cars and smooth trajectory tracking.
Dive into the most widely used control algorithm in robotics: Proportional Integral Derivative (PID). See how it enables balance, trajectory following, and dynamic stability.
Explore adaptive, robust, and optimal control approaches that let robots adapt to changing loads, handle uncertainties, and perform reliably in complex environments.
