Real-time estimation is a field of research that focuses on the development of algorithms and techniques for estimating the state or parameters of a system in real-time. This can include estimating variables such as position, velocity, orientation, temperature, or any other measurable quantity in a system. Real-time estimation is commonly used in fields such as robotics, control systems, signal processing, and navigation, where accurate and timely estimation of system states is critical for optimal performance. Researchers in this area work on developing algorithms that can efficiently process incoming data from sensors and other sources to estimate the current state of the system in real-time. This often involves the use of mathematical models, statistical methods, and computer algorithms to process the data and update the estimates continuously as new information becomes available. Real-time estimation research plays a crucial role in improving the performance, reliability, and efficiency of various systems and technologies.