👉 Steering math in robotics involves the mathematical principles used to control a vehicle's direction and movement, particularly focusing on how it adjusts its path based on steering inputs. At its core, steering math combines kinematics and dynamics to model the relationship between the steering angle (input) and the resulting vehicle orientation (output). It typically involves equations that describe how a steering angle translates into a change in the vehicle's yaw rate, which is the angular velocity around the vehicle's vertical axis. These equations often incorporate factors like wheel slip, road friction, and vehicle inertia to ensure smooth and accurate steering. By using sensors to measure the current orientation and applying control algorithms, steering math enables precise adjustments to maintain desired trajectories or respond to external disturbances, making it essential for autonomous and semi-autonomous vehicles.
