System Identification

The process of estimating the physical parameters of a real robot or environment (masses, friction coefficients, joint damping, contact stiffness) to improve simulation fidelity. Accurate system identification reduces the sim-to-real gap. Methods include least-squares fitting to recorded trajectories, Bayesian optimization, and neural network-based identification.