📽️ Estimated Time: 5–6 hours of video lectures + 10–15 hours of study and exercises
This chapter introduces the fundamental mathematical tools for describing motion in two and three dimensions, focusing on spatial transformations essential in robotics and control systems. Through theory, visualization, and coding examples, students will gain a strong foundation in rigid body kinematics.
Warm-up: Introduction to 2D motion
Explicit vs. Implicit representations of transformations
Mathematical derivation of rotation matrices
Practical use cases and applications
Rotation chaining and composition
Understanding angular motion in dynamic systems
Representation of rotations using exponential maps
Advantages in control and motion planning
Mathematical derivation and structure
Use in robotics modeling
Chaining transformations in complex systems
Introduction to twist vectors and their role in motion
Screw theory and physical interpretation
Assimilation of screw motions
Force and torque representation in 3D space
Conceptual exercises to reinforce understanding
Programming examples to simulate and visualize motion