Global Symplectic Uncertainty Propagation on SO(3)
Taeyoung Lee, Melvin Leok, and N. Harris McClamroch

TL;DR
This paper presents a novel global uncertainty propagation method for rigid body dynamics on SO(3), combining geometric numerical integration, harmonic analysis, and probabilistic techniques to accurately model uncertainties on the manifold.
Contribution
It introduces a global uncertainty propagation scheme that supports probability densities on the entire manifold, leveraging Lie group variational integrators for geometric fidelity.
Findings
The method preserves the geometric structure of uncertainties in Hamiltonian systems.
It enables global attitude estimation considering full probability distributions.
The approach outperforms local methods in capturing uncertainty on SO(3).
Abstract
This paper introduces a global uncertainty propagation scheme for rigid body dynamics, through a combination of numerical parametric uncertainty techniques, noncommutative harmonic analysis, and geometric numerical integration. This method is distinguished from prior approaches, as it allows one to consider probability densities that are global, and are not supported on only a single coordinate chart on the manifold. The use of Lie group variational integrators, that are symplectic and stay on the Lie group, as the underlying numerical propagator ensures that the advected probability densities respect the geometric properties of uncertainty propagation in Hamiltonian systems, which arise as consequence of the Gromov nonsqueezing theorem from symplectic geometry. We also describe how the global uncertainty propagation scheme can be applied to the problem of global attitude estimation.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsProbabilistic and Robust Engineering Design · Electromagnetic Scattering and Analysis · GNSS positioning and interference
