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Robin Verschueren
Researcher at University of Freiburg
Publications - 16
Citations - 1226
Robin Verschueren is an academic researcher from University of Freiburg. The author has contributed to research in topics: Optimal control & Model predictive control. The author has an hindex of 10, co-authored 16 publications receiving 661 citations. Previous affiliations of Robin Verschueren include Katholieke Universiteit Leuven.
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Journal ArticleDOI
A rewriting system for convex optimization problems
TL;DR: In this paper, a modular rewriting system for translating optimization problems written in a domain-specific language (DSL) to forms compatible with low-level solver interfaces is described.
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A Rewriting System for Convex Optimization Problems
TL;DR: In this article, a modular rewriting system for translating optimization problems written in a domain-specific language to forms compatible with low-level solver interfaces is described, facilitated by reductions which accept a category of problems and transform instances of that category to equivalent instances of another category.
Posted Content
acados: a modular open-source framework for fast embedded optimal control
Robin Verschueren,Gianluca Frison,Dimitris Kouzoupis,Jonathan Frey,Niels van Duijkeren,Andrea Zanelli,Branimir Novoselnik,Thivaharan Albin,Rien Quirynen,Moritz Diehl +9 more
TL;DR: The core of acados is written on top of a high-performance linear algebra library, which facilitates maintainability and extensibility, and aims to provide both flexibility and performance through modularity, without the need to rely on automatic code generation.
Proceedings ArticleDOI
Towards time-optimal race car driving using nonlinear MPC in real-time
TL;DR: The time-optimal objective is reformulated such that it can be tackled by existing efficient algorithms for real-time nonlinear MPC that build on the generalized Gauss-Newton method.
Journal ArticleDOI
Towards a modular software package for embedded optimization
Robin Verschueren,Gianluca Frison,Dimitris Kouzoupis,Niels van Duijkeren,Andrea Zanelli,Rien Quirynen,Moritz Diehl +6 more
TL;DR: In this article, the authors present acados, a new software package for model predictive control, which provides a collection of embedded optimization algorithms written in C, with a strong focus on computational efficiency.