RBF Solver for Quaternions Interpolation
Rinaldi Fabio, Dolci Daniele

TL;DR
This paper introduces an adaptation of the RBF Solver for quaternion interpolation by leveraging Lie Algebra and exponential maps, enabling efficient blending of rotations as vectors.
Contribution
It presents a novel method to apply RBF interpolation directly to quaternions using Lie Algebra, improving efficiency and simplicity.
Findings
Enables quaternion blending as vectors in R^3
Improves computational efficiency of quaternion interpolation
Facilitates smooth rotation transitions
Abstract
In this paper we adapt the RBF Solver to work with quaternions by taking advantage of their Lie Algebra and exponential map. This will allow to work with quaternions as if they were normal vectors in R^3 and blend them in a very efficient way.
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
TopicsAlgebraic and Geometric Analysis · Dynamics and Control of Mechanical Systems · Control and Dynamics of Mobile Robots
