Attitude estimation is a research area in robotics and control systems that focuses on determining the orientation or attitude of a physical object relative to a reference frame. This is typically done using sensors such as accelerometers, gyroscopes, and magnetometers to measure the object's angular velocity, acceleration, and magnetic field, respectively. Attitude estimation is essential for tasks such as autonomous navigation, control, and stabilization of vehicles or robots. Various algorithms and techniques are used in attitude estimation, including Kalman filtering, complementary filters, and quaternion estimation methods. This research area plays a crucial role in enabling precise and accurate control and navigation of autonomous systems.