Foundations of Robot Dynamics and Motion Control

Understanding how robots move requires more than just code; it requires a deep dive into the physics of motion and forces. This course provides the essential mathematical framework needed to describe, simulate, and control the behavior of robotic systems in the real world. You will transition from basic mechanical concepts to complex modeling techniques, gaining the ability to calculate the exact forces and torques required for precise robotic movement. By the end of this text-based program, you will have a clear understanding of the dynamic equations that govern modern machines. What you'll learn: - Understand the physics of rigid-body motion and Newton-Euler dynamics - Calculate forward and inverse dynamics for multi-link robotic arms - Apply Lagrangian mechanics to derive equations of motion for complex systems - Practice modeling robot interactions with external forces and environments - Explore how dynamics integrate with modern physics engines for simulation - Learn how real-time constraints affect dynamic control in modern hardware The course begins with key terminology and foundational concepts of mechanics before moving into systematic methods for modeling multi-jointed robots. You will read through detailed explanations of both the analytical theory and the practical application of these models in modern control systems. This course is designed for beginners who want a serious introduction to robotics engineering. No prior experience with robot dynamics is required. Start building your expertise in the mechanics of modern robotics today.