State Estimation

The process of inferring the robot's internal state (joint positions, velocities, contact modes) and external state (object poses, environment geometry) from noisy sensor measurements. State estimators range from simple filters (complementary, Kalman) to complex probabilistic frameworks (particle filters, factor graphs). Accurate state estimation is the foundation of all feedback control.