449 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Technical University of MunichDE7 papers
- Masaryk UniversityCZ2 papers
- Aalto UniversityFI1 paper
- Aixtron (Germany)DE1 paper
- AMO (Germany)DE1 paper
- Carnegie Mellon UniversityUS1 paper
- Chalmers University of TechnologySE1 paper
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE1 paper
- ETH ZurichCH1 paper
- Helmut Schmidt UniversityDE1 paper
- Infineon Technologies (Germany)DE1 paper
- Institute of Robotics1 paper
17 papers
TinyML for Acoustic Anomaly Detection in IoT Sensor Networks
Amar Almaini, Jakob Folz, Ghadeer Ashour
Tiny Machine Learning enables real-time, energy-efficient data processing directly on microcontrollers, making it ideal for Internet of Things sensor networks. This paper presents…
Causal Fermion Systems: An Introduction to Fundamental Structures, Methods and Applications
Felix Finster, Sebastian Kindermann, Jan-Hendrik Treude
This textbook introduces the basic concepts of the theory of causal fermion systems, a recent approach to the description of fundamental physics. The theory yields quantum mechanic…
Petri Nets for Smart Grids: The Story So Far
Mouzhi Ge, Bruno Rossi, Stanislav Chren +1
Since the energy domain is in a transformative shift towards sustainability, the integration of new technologies and smart systems into traditional power grids has emerged. As an e…
Self-Contained and Automatic Calibration of a Multi-Fingered Hand Using Only Pairwise Contact Measurements
Johannes Tenhumberg, Leon Sievers, Berthold Bäuml
A self-contained calibration procedure that can be performed automatically without additional external sensors or tools is a significant advantage, especially for complex robotic s…
Speeding Up Optimization-based Motion Planning through Deep Learning
Johannes Tenhumberg, Darius Burschka, Berthold Bäuml
Planning collision-free motions for robots with many degrees of freedom is challenging in environments with complex obstacle geometries. Recent work introduced the idea of speeding…
Self-Contained Calibration of an Elastic Humanoid Upper Body Using Only a Head-Mounted RGB Camera
Johannes Tenhumberg, Dominik Winkelbauer, Darius Burschka +1
When a humanoid robot performs a manipulation task, it first makes a model of the world using its visual sensors and then plans the motion of its body in this model. For this, prec…
Efficient Learning of Fast Inverse Kinematics with Collision Avoidance
Johannes Tenhumberg, Arman Mielke, Berthold Bäuml
Fast inverse kinematics (IK) is a central component in robotic motion planning. For complex robots, IK methods are often based on root search and non-linear optimization algorithms…
Estimator-Coupled Reinforcement Learning for Robust Purely Tactile In-Hand Manipulation
Lennart Röstel, Johannes Pitz, Leon Sievers +1
This paper identifies and addresses the problems with naively combining (reinforcement) learning-based controllers and state estimators for robotic in-hand manipulation. Specifical…
Feel the Tension: Manipulation of Deformable Linear Objects in Environments with Fixtures using Force Information
Finn Süberkrüb, Rita Laezza, Yiannis Karayiannidis
Humans are able to manipulate Deformable Linear Objects (DLOs) such as cables and wires, with little or no visual information, relying mostly on force sensing. In this work, we pro…
Combining Shape Completion and Grasp Prediction for Fast and Versatile Grasping with a Multi-Fingered Hand
Matthias Humt, Dominik Winkelbauer, Ulrich Hillenbrand +1
Grasping objects with limited or no prior knowledge about them is a highly relevant skill in assistive robotics. Still, in this general setting, it has remained an open problem, es…
Button Shear Testing for Adhesion Measurements of 2D Materials
Josef Schätz, Navin Nayi, Jonas Weber +13
Two-dimensional (2D) materials are considered for numerous applications in microelectronics, although several challenges remain when integrating them into functional devices. Weak…
Dextrous Tactile In-Hand Manipulation Using a Modular Reinforcement Learning Architecture
Johannes Pitz, Lennart Röstel, Leon Sievers +1
Dextrous in-hand manipulation with a multi-fingered robotic hand is a challenging task, esp. when performed with the hand oriented upside down, demanding permanent force-closure, a…
Interoperability-oriented Quality Assessment for Czech Open Data
Dasa Kusnirakova, Mouzhi Ge, Leonard Walletzky +1
With the rapid increase of published open datasets, it is crucial to support the open data progress in smart cities while considering the open data quality. In the Czech Republic,…
Learning Purely Tactile In-Hand Manipulation with a Torque-Controlled Hand
Leon Sievers, Johannes Pitz, Berthold Bäuml
We show that a purely tactile dextrous in-hand manipulation task with continuous regrasping, requiring permanent force closure, can be learned from scratch and executed robustly on…
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions
Zheng Li, Yue Zhao, Xiyang Hu +3
Outlier detection refers to the identification of data points that deviate from a general data distribution. Existing unsupervised approaches often suffer from high computational c…
Transport Services: A Modern API for an Adaptive Internet Transport Layer
Michael Welzl, Safiqul Islam, Michael Gundersen +1
Transport services (TAPS) is a working group of the Internet's standardization body, the Internet Engineering Task Force (IETF). TAPS defines a new recommended API for the Internet…
FSOCO: The Formula Student Objects in Context Dataset
Niclas Vödisch, David Dodel, Michael Schötz
This paper presents the FSOCO dataset, a collaborative dataset for vision-based cone detection systems in Formula Student Driverless competitions. It contains human annotated groun…