Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Magí Romanyà-Serrasolsas

dblp:412/4093 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0007-3468-6820ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Computer animation and physical simulation · 77% Geometric modeling and processing · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer animation and physical simulation
rigid body simulation
0.912025
Painless Differentiable Rotation Dynamics · ACM Trans. Graph. 2025
Geometric modeling and processing
rotation representation
0.312025
Painless Differentiable Rotation Dynamics · ACM Trans. Graph. 2025

Methods — techniques the papers use, named apart from their topics

lie-algebra rotation derivatives · 0.9adjoint method · 0.9
YearPublicationVenuePosition
2025 Painless Differentiable Rotation Dynamics
abstract
We propose the formulation of forward and differentiable rigid-body dynamics using Lie-algebra rotation derivatives. In particular, we show how this approach can easily be applied to incremental-potential formulations of forward dymamics, and we introduce a novel definition of adjoints for differentiable dynamics. In contrast to other parameterizations of rotations (notably the popular rotation-vector parameterization), our approach leads to painlessly simple and compact derivatives, better conditioning, and higher runtime efficiency. We demonstrate our approach on fundamental rigid-body problems, but also on Cosserat rods as an example of multi-rigid-body dynamics.
Magí Romanyà-Serrasolsas, Juan José Casafranca, Miguel A. Otaduy
ACM Trans. Graph.1