Video and Webinar Series

Teaching Rigid Body Dynamics

Throughout this series, you'll learn how to implement a Lagrangian dynamics approach and derive equations of motion of rigid body systems using MATLAB®. The proposed workflow incorporates tasks involving both symbolic and numeric computing—a natural combination that leads to deeper learning engagements with students.

Part 1: Computational Thinking Learn about the computational thinking approach.

Part 2: Spring-Mass-Damper System Case Study Discover how MATLAB supports a computational thinking approach using the classic spring-mass-damper system.

Part 3: Two-Degrees-of-Freedom Non-Planar Robotic Manipulator Case Study Explore a real-life case study that further explains the computational thinking approach using a larger two-degree-of-freedom system.

Part 4: Automation Review choices for implementing more automation for multi-degrees-of-freedom systems.

Part 5: Four-Degrees-of-Freedom Non-Planar Robotic Manipulator Case Study Explore the analysis and derivation of the equations of motion for a four-degrees-of-freedom robotic manipulator.

Part 6: Summary of Computational Thinking Implementation Review the key features in MATLAB that support a computational thinking approach when teaching rigid body dynamics.