👉 Rotation computing is a computational technique used to efficiently process and analyze 3D rotations in computer graphics, robotics, and other fields dealing with spatial transformations. It leverages the mathematical properties of quaternions, which are mathematical objects that can represent rotations in three-dimensional space more efficiently and robustly than traditional methods like Euler angles or rotation matrices. Quaternions allow for smooth interpolation between rotations and avoid the singularities (gimbal lock) that can occur with Euler angles. By converting 3D rotations into quaternions, rotation computing enables faster and more stable transformations, crucial for real-time applications such as video games, virtual reality, and robotics. This approach reduces computational complexity and memory usage, making it an essential tool for handling complex spatial operations in dynamic environments.
