Matthias Mayer, M.Sc.

Matthias Mayer is currently a research assistant and PhD student under the supervision of Prof. Dr.-Ing. Matthias Althoff and started in 2020. He holds a bachelor's degree in Engineering Science and a master's degree in Robotics, Cognition, Intelligence both from the Technical University of Munich (TUM). Furthermore, he attended the Georgia Institute of Technology in the fall of 2018.

Matthias Mayer, M.Sc.

House Mail: Boltzmannstraße 3

Technische Universität München

Tel.: +49 (89) 289 - 18114
Sprechstunde: On request
matthias.mayer@tum.de

Research Interests

Matthias Mayer is a Ph.D. student under Prog. Althoff working on modular robots with regards to:

Configuration optimization considering energy usage, cycle-time, mechanical wear, etc.
Building a benchmark for manipulator performance which allows to quantitatively compare conventional and modular robots
Augmenting the kinematics of modular robots, e.g., with prismatic joints or parallel chains

Theses

Master Thesis	Visuo-Tactile Exploration of Unknown Environments
Bachelor Thesis	An Experimental Evaluation of Transfer Learning in Deep Neural Networks for Car Detection

Publications

2024

Matthias Mayer, Jonathan Külz, Matthias Althoff: CoBRA: A Composable Benchmark for Robotics Applications. IEEE International Conference on Robotics and Automation (ICRA), 2024, 17665-17671 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
Matthias Mayer; Zihao Li; Matthias Althoff: Efficient Path Planning for Modular Reconfigurable Robots. IEEE/RSJ International Conference on Intelligent Robots and Systems (2024), 2024, TBA mehr… BibTeX Volltext (mediaTUM)

2023

Jonathan Külz, Matthias Mayer, and Matthias Althoff: Timor Python: A Toolbox for Industrial Modular Robotics. International Conference on Intelligent Robots and Systems, 2023 mehr… BibTeX Volltext (mediaTUM)

2020

Matthias Althoff, Matthias Mayer, Robert Müller: Automatic Synthesis of Human Motion from Temporal Logic Specifications. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)