← Search

Nathan J. Kong

3 accepted papers

2025

Hybrid Iterative Linear Quadratic Estimation: Optimal Estimation for Hybrid Systems

RA-L 2025

In this letter we present Hybrid iterative Linear Quadratic Estimation (HiLQE), an optimization based offline state estimation algorithm for hybrid dynamical systems. We utilize the saltation matrix, a first order approximation of the variational update through an event driven hybrid transition, to

Cited by 0SourceScholar
2022

The Uncertainty Aware Salted Kalman Filter: State Estimation for Hybrid Systems with Uncertain Guards

IROS 2022poster

In this paper, we present a method for updating robotic state belief through contact with uncertain surfaces and apply this update to a Kalman filter for more accurate state estimation. Examining how guard surface uncertainty affects the time spent in each mode, we derive a novel guard saltation mat…

Cited by 11SourceScholar