👉 Bearing math is a crucial aspect of robotics and autonomous navigation, dealing with the transformation of coordinates between different reference frames, such as the robot's local frame (its own position and orientation) and a global frame (a fixed, world coordinate system). It involves calculating the rotation and translation required to move a point or object from one frame to another. This is typically done using rotation matrices for angular transformations and homogeneous transformation matrices that combine both rotation and translation. The process often relies on matrix multiplication, with the rotation matrix derived from Euler angles, quaternions, or rotation vectors. The goal is to ensure that the robot's movements are accurately mapped to its environment, enabling precise navigation and interaction with objects in its surroundings.
