This project examines some of the popular algorithms used for localization and tracking, including the Kalman filter, Extended Kalman filter, Unscented Kalman filter and the Particle filter.

Tactile sensing represents a valuable source of information in robotics for perception of the state of objects and their properties. Modern soft tactile sensors allow perceiving orthogonal forces and, ...

A high-performance Rust library for robotic state estimation, featuring a Differentiable Extended Kalman Filter (DEKF) with neural-network-driven adaptive noise estimation. This project also includes ...

Abstract: This paper focuses on the parameter estimation of bicomponent parallel chirp signals with constant amplitude. A nonlinear state-space model is employed to represent the signal, and the ...

Abstract: We propose EKF-GS, a hybrid optimization framework for 3D Gaussian Splatting that integrates Extended Kalman Filter with stochastic gradient descent. EKF-GS enables faster convergence, ...