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Uncertainty Propagation and Bayesian Fusion on Unimodular Lie Groups from a Parametric Perspective
We address the problem of uncertainty propagation and Bayesian fusion on unimodular Lie groups.
Uncertainty Propagation on Unimodular Matrix Lie Groups
This paper addresses uncertainty propagation on unimodular matrix Lie groups that have a surjective exponential map.
A Lie-Theoretic Approach to Propagating Uncertainty Jointly in Attitude and Angular Momentum
Dynamic state estimation, as opposed to kinematic state estimation, seeks to estimate not only the orientation of a rigid body but also its angular velocity, through Euler's equations of rotational motion.
Transporters with Visual Foresight for Solving Unseen Rearrangement Tasks
We propose a visual foresight model for pick-and-place rearrangement manipulation which is able to learn efficiently.
