Robot Control Systems
Coordinate perception, decision, and motion - the triad that makes robots intelligent and responsive.
Welcome to the Robot Control Systems course, where your robotic designs come to life through the art and science of precise control. Just like our brains process sensory input and command muscle movements, robots rely on a harmonious system of sensors, controllers, and actuators to perceive, decide, and move.
In this course, you’ll explore core control strategies such as feedback and feedforward, dive into Proportional-Integral-Derivative (PID) control, and tackle advanced techniques like adaptive, robust, and optimal control. From drones stabilizing mid-air to robotic arms gliding through complex tasks, by the end of this module, you'll be equipped to design control systems that handle real-world challenges with precision and stability—whether in industrial robots, autonomous vehicles, or surgical machines.
🎯 What You’ll Learn
1
Fundamental Control Components
Understand how sensors, controllers, and actuators work together in closed-loop systems to deliver desired performance.
2
Feedback & Feedforward Control
Learn to stabilize and regulate robotic actions by combining reactive (feedback) and predictive (feedforward) strategies—think self-parking cars and smooth trajectory tracking.
3
Mastering PID Control
Dive into the most widely used control algorithm in robotics: Proportional Integral Derivative (PID). See how it enables balance, trajectory following, and dynamic stability.
4
Advanced Control Techniques
Explore adaptive, robust, and optimal control approaches that let robots adapt to changing loads, handle uncertainties, and perform reliably in complex environments.
📦 What’s Included
  • Engaging audio walkthroughs on robot control theory and its real-world application.
  • Coaching Session: Robot Control Systems - A Hands-On Workshop
  • Interactive simulations for PID tuning and testing feedforward mechanisms.
  • Case-based examples from real-world robotics - stabilizing drones, precision arms, autonomous vehicles.
  • Downloadable study guide and worksheet to help you map control designs and optimize system response.
👤 Who This Course Is For
  • Robotics engineers and system developers designing autonomous systems.
  • Mechatronics professionals building responsive robotic solutions.
  • Researchers and tech leaders developing control architectures.
  • Learners aiming to deeply understand how control bridges perception and action.
✅ Requirements
  • Completion of Module 3: Sensors and Actuators.
  • Foundational knowledge in mechanics and sensing fundamentals.
  • Curiosity to explore how control bridges perception and action.
🎓 Certification
Complete this module to earn a Certificate of Completion - demonstrating your ability to design control systems that integrate perception, decision-making, and actuation with precision.
🌐 Part of the Robotics and Automation Mastery Path
Introduction to Robotics
Robot Kinematics and Dynamics
Sensors and Actuators
Robot Control Systems (You are here)
Industrial Robotics Overview
Mobile Robotics
Automation Technologies
Robotic Vision Systems
Emerging Trends in Robotics and Automation
Practical Applications and Case Studies
Each module builds your expertise from foundation to full-system integration, empowering your mastery in robotics.
🚀 Take Command of Robotic Motion
Don’t just make robots move - learn how they decide when, where, and how precisely to do it. Control is where intelligence meets motion.