2025
Legged Robot State Estimation Using Invariant Neural-Augmented Kalman Filter with a Neural Compensator
IROS 2025
This paper presents an algorithm to improve state estimation for legged robots. Among existing model-based state estimation methods for legged robots, the contact-aided invariant extended Kalman filter defines the state on a Lie group to preserve invariance, thereby significantly accelerating conver