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Matthias A. Müller

Matthias A. Müller

D-Index & Metrics

Engineering and Technology

D-Index
37
Citations
5654
World Ranking
8377
National Ranking
282

Overview

Matthias A. Müller is affiliated with the University of Stuttgart in Germany. Their research spans several fields, primarily within computer science and engineering, with significant contributions in subfields such as computer vision and pattern recognition, artificial intelligence, materials chemistry, control and systems engineering, and automotive engineering.

Their recent publications demonstrate a focus on topics related to robotics, autonomous systems, and crystallography. Key topics covered in their work include crystallization and solubility studies, X-ray diffraction in crystallography, reinforcement learning in robotics, robotic path planning algorithms, autonomous vehicle technology and safety, robotic mechanisms and dynamics, and robot manipulation and learning.

Notable recent papers by Matthias A. Müller include:

  • Champion-level drone racing using deep reinforcement learning, 2023, Nature
  • How to Swoop and Grasp Like a Bird With a Passive Claw for a High-Speed Grasping, 2022, IEEE/ASME Transactions on Mechatronics
  • Learning high-speed flight in the wild, 2021, Zurich Open Repository and Archive (University of Zurich)
  • LDM3D: Latent Diffusion Model for 3D, 2023, arXiv (Cornell University)
  • Training Graph Neural Networks with 1000 Layers, 2021, arXiv (Cornell University)

Frequent coauthors collaborating with Matthias A. Müller include Vladlen Koltun, Magnus R. Buchner, Elia Kaufmann, Antonio Loquercio, and Davide Scaramuzza. These collaborations are reflected across multiple jointly published papers.

Their work has appeared in various publication venues, with multiple papers in arXiv (Cornell University), The Cambridge Structural Database, Nature, IEEE/ASME Transactions on Mechatronics, and the Zurich Open Repository and Archive (University of Zurich).

Best Publications

  • DeepGCNs: Can GCNs Go As Deep As CNNs?

    Guohao Li;Matthias Muller;Ali Thabet;Bernard Ghanem

  • TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild

    Matthias Müller;Adel Bibi;Silvio Giancola;Salman Alsubaihi

  • Data-Driven Model Predictive Control With Stability and Robustness Guarantees

    Julian Berberich;Johannes Kohler;Matthias A. Muller;Frank Allgower

  • Finite element method — the natural approach

    J.H. Argyris;H. Balmer;J.St. Doltsinis;P.C. Dunne

  • Learning high-speed flight in the wild.

    Antonio Loquercio;Elia Kaufmann;René Ranftl;Matthias Müller

  • Input/output-to-state stability and state-norm estimators for switched nonlinear systems

    Matthias A. MüLler;Daniel Liberzon

  • A Computationally Efficient Robust Model Predictive Control Framework for Uncertain Nonlinear Systems

    Johannes Kohler;Raffaele Soloperto;Matthias A. Muller;Frank Allgower

  • Driving Policy Transfer via Modularity and Abstraction.

    Matthias Müller;Alexey Dosovitskiy;Bernard Ghanem;Vladlen Koltun

  • End-to-end Driving via Conditional Imitation Learning

    Felipe Codevilla;Matthias Müller;Antonio López;Vladlen Koltun

  • SGAS: Sequential Greedy Architecture Search

    Guohao Li;Guocheng Qian;Itzel C. Delgadillo;Matthias Muller

  • Cooperative control of dynamically decoupled systems via distributed model predictive control

    Matthias A. Müller;Marcus Reble;Frank Allgöwer

  • Linear tracking MPC for nonlinear systems Part II: The data-driven case.

    Julian Berberich;Johannes Köhler;Matthias A. Müller;Frank Allgöwer

  • On the relation between strict dissipativity and turnpike properties

    Lars Grüne;Matthias Albrecht Müller

  • On Necessity and Robustness of Dissipativity in Economic Model Predictive Control

    Matthias A. Muller;David Angeli;Frank Allgower

  • Economic Nonlinear Model Predictive Control

    Timm Faulwasser;Lars Grüne;Matthias A. Müller

  • Effects of biquadratic exchange on the spectrum of elementary excitations in spin ladders

    S. Brehmer;H.-J. Mikeska;M. Müller;N. Nagaosa

  • Transgenic rat hearts overexpressing SERCA2a show improved contractility under baseline conditions and pressure overload.

    Oliver J. Müller;Mathias Lange;Henning Rattunde;Hans Peter Lorenzen

  • Economic model predictive control without terminal constraints: Optimal periodic operation

    Matthias A. Muller;Lars Grune

  • Nonlinear Reference Tracking: An Economic Model Predictive Control Perspective

    Johannes Kohler;Matthias A. Muller;Frank Allgower

  • Economic model predictive control with self-tuning terminal cost ☆

    Matthias Albrecht Müller;David Angeli;David Angeli;Frank Allgöwer

  • Deep Drone Acrobatics

    Elia Kaufmann;Antonio Loquercio;René Ranftl;Matthias Müller

  • A Nonlinear Model Predictive Control Framework Using Reference Generic Terminal Ingredients

    Johannes Kohler;Matthias A. Muller;Frank Allgower

  • Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications

    Matthias Müller;Vincent Casser;Jean Lahoud;Neil Smith

  • Tube-based robust economic model predictive control

    Florian A. Bayer;Matthias A. Müller;Frank Allgöwer

  • Model predictive control of switched nonlinear systems under average dwell-time ☆ ☆☆

    Matthias A. Müller;Pascal Martius;Frank Allgöwer

  • Economic Nonlinear Model Predictive Control

    Unknown

  • Nonlinear moving horizon estimation in the presence of bounded disturbances

    Matthias Albrecht Müller

  • Brief paper: Improving performance in model predictive control: Switching cost functionals under average dwell-time

    Matthias A. Müller;Frank Allgöwer

  • Learning-Based Robust Model Predictive Control with State-Dependent Uncertainty

    Raffaele Soloperto;Matthias A. Müller;Sebastian Trimpe;Frank Allgöwer

  • Non-smooth Newton Methods for Deformable Multi-body Dynamics

    Miles Macklin;Kenny Erleben;Matthias Müller;Nuttapong Chentanez

Frequent Co-Authors

Frank Allgöwer
Frank Allgöwer University of Stuttgart
Bernard Ghanem
Bernard Ghanem King Abdullah University of Science and Technology
David Angeli
David Angeli Imperial College London
Vladlen Koltun
Vladlen Koltun Apple (United States)
Lars Grüne
Lars Grüne University of Bayreuth
Daniel Liberzon
Daniel Liberzon University of Illinois at Urbana-Champaign
Rene Ranftl
Rene Ranftl Intel (United States)
Davide Scaramuzza
Davide Scaramuzza University of Zurich
Hans J. Herrmann
Hans J. Herrmann ESPCI Paris
Malcolm L. H. Green
Malcolm L. H. Green University of Oxford

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