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🔍 bertram taetz 📂 Engineering
Showing 20 results for "bertram taetz" in Engineering
Engineering Preprint PDF DOI

TopoCut: Learning Multi-Step Cutting with Spectral Rewards and Discrete Diffusion Policies

Liquan Wang, Jiangjie Bian, Eric Heiden, Animesh Garg · 2025

Robotic manipulation tasks involving cutting deformable objects remain challenging due to complex topological behaviors, difficulties in perceiving dense object states, and the lack of efficient evalu…

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Engineering Preprint PDF DOI

Besondere Anforderungen des automatisierten Fahrens an den Entwurf

Robert Graubohm, Markus Maurer · 2025

The development of automated vehicles and automated driving functions is an exceptionally complex task that requires the integration of numerous, sometimes conflicting interests and various constraint…

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Engineering Preprint PDF DOI

Nutzung von Massespeichern zur Flexibilisierung des Energieverbrauchs: Kosteneffizienter Anlagenbetrieb durch Anpassung an Marktpreise

Lukas Peter Wagner, Lasse Matthias Reinpold, Maximilian Kilthau, Felix Gehlhoff, Christian Derksen, Nils Loose, Julian Jepsen, Alexander Fay · 2024

The increasing share of renewable energy sources and necessitate new concepts for energy flexible operation of industrial production resources. In this paper, we demonstrate the potential of mass stor…

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Engineering Preprint PDF DOI

End-to-End Speech Recognition with Pre-trained Masked Language Model

Yosuke Higuchi, Tetsuji Ogawa, Tetsunori Kobayashi, Shinji Watanabe · 2024

We present a novel approach to end-to-end automatic speech recognition (ASR) that utilizes pre-trained masked language models (LMs) to facilitate the extraction of linguistic information. The proposed…

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Engineering Preprint PDF DOI

Measure Preserving Flows for Ergodic Search in Convoluted Environments

Albert Xu, Bhaskar Vundurthy, Geordan Gutow, Ian Abraham, Jeff Schneider, Howie Choset · 2024

Autonomous robotic search has important applications in robotics, such as the search for signs of life after a disaster. When \emph{a priori} information is available, for example in the form of a dis…

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Engineering Preprint PDF DOI

Physics-Guided Actor-Critic Reinforcement Learning for Swimming in Turbulence

Christopher Koh, Laurent Pagnier, Michael Chertkov · 2024

Turbulent diffusion causes particles placed in proximity to separate. We investigate the required swimming efforts to maintain an active particle close to its passively advected counterpart. We explor…

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Engineering Preprint PDF DOI

Identifikation ausl\"osender Umst\"ande von SOTIF-Gef\"ahrdungen durch systemtheoretische Prozessanalyse

Robert Graubohm, Marvin Loba, Marcus Nolte, Markus Maurer · 2024

Developers have to obtain a sound understanding of existing risk potentials already in the concept phase of driverless vehicles. Deductive as well as inductive SOTIF analyses of potential triggering c…

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Engineering Preprint PDF DOI

Enhancing 3T Retinotopic Maps Using Diffeomorphic Registration

Negar Jalili-Mallak, Yanshuai Tu, Zhong-Lin Lu, Yalin Wang · 2024

Retinotopic mapping aims to uncover the relationship between visual stimuli on the retina and neural responses on the visual cortical surface. This study advances retinotopic mapping by applying diffe…

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Engineering Preprint PDF DOI

Personalized Dynamic Pricing Policy for Electric Vehicles: Reinforcement learning approach

Sangjun Bae, Balazs Kulcsar, Sebastien Gros · 2024

With the increasing number of fast-electric vehicle charging stations (fast-EVCSs) and the popularization of information technology, electricity price competition between fast-EVCSs is highly expected…

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Engineering Preprint PDF DOI

Nash equilibria of the pay-as-bid auction with K-Lipschitz supply functions

Martina Vanelli, Giacomo Como, Fabio Fagnani · 2023

We model a system of n asymmetric firms selling a homogeneous good in a common market through a pay-as-bid auction. Every producer chooses as its strategy a supply function returning the quantity S(p)…

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Engineering Preprint PDF DOI

Convolutional Filtering on Sampled Manifolds

Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro · 2022

The increasing availability of geometric data has motivated the need for information processing over non-Euclidean domains modeled as manifolds. The building block for information processing architect…

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Engineering Preprint PDF DOI

BECTRA: Transducer-based End-to-End ASR with BERT-Enhanced Encoder

Yosuke Higuchi, Tetsuji Ogawa, Tetsunori Kobayashi, Shinji Watanabe · 2022

We present BERT-CTC-Transducer (BECTRA), a novel end-to-end automatic speech recognition (E2E-ASR) model formulated by the transducer with a BERT-enhanced encoder. Integrating a large-scale pre-traine…

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Engineering Preprint PDF DOI

Ein Beitrag zur durchg\"angigen, formalen Verhaltensspezifikation automatisierter Stra{\ss}enfahrzeuge

Nayel Fabian Salem, Veronica Haber, Matthias Rauschenbach, Marcus Nolte, Jan Reich, Torben Stolte, Robert Graubohm, Markus Maurer · 2022

Assuring safety of automated vehicles (SAE Level 3+) requires specifying and validating the behavior of such a vehicle in its operational environment. In order to argue and support assumptions that ar…

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Engineering Preprint PDF DOI

Geometry-aware Bayesian Optimization in Robotics using Riemannian Mat\'ern Kernels

Noemie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Rozo · 2021

Bayesian optimization is a data-efficient technique which can be used for control parameter tuning, parametric policy adaptation, and structure design in robotics. Many of these problems require optim…

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Engineering Preprint PDF DOI

Stable and Transferable Wireless Resource Allocation Policies via Manifold Neural Networks

Zhiyang Wang, Luana Ruiz, Mark Eisen, Alejandro Ribeiro · 2021

We consider the problem of resource allocation in large scale wireless networks. When contextualizing wireless network structures as graphs, we can model the limits of very large wireless systems as m…

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Engineering Preprint PDF DOI

Stability of Neural Networks on Manifolds to Relative Perturbations

Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro · 2021

Graph Neural Networks (GNNs) show impressive performance in many practical scenarios, which can be largely attributed to their stability properties. Empirically, GNNs can scale well on large size grap…

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Engineering Preprint PDF DOI

Robust Regularized Locality Preserving Indexing for Fiedler Vector Estimation

Aylin Tastan, Michael Muma, Abdelhak M. Zoubir · 2021

The Fiedler vector of a connected graph is the eigenvector associated with the algebraic connectivity of the graph Laplacian and it provides substantial information to learn the latent structure of a …

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Engineering Preprint PDF DOI

Stability of Neural Networks on Riemannian Manifolds

Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro · 2021

Convolutional Neural Networks (CNNs) have been applied to data with underlying non-Euclidean structures and have achieved impressive successes. This brings the stability analysis of CNNs on non-Euclid…

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Engineering Preprint PDF DOI

Locally-Aware Constrained Games on Networks

Guanze Peng, Tao Li, Shutian Liu, Juntao Chen, Quanyan Zhu · 2020

Network games have been instrumental in understanding strategic behaviors over networks for applications such as critical infrastructure networks, social networks, and cyber-physical systems. One crit…

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Engineering Preprint PDF DOI

Bifurcation Analysis of Reaction Diffusion Systems on Arbitrary Surfaces

Daljit Singh J. Dhillon, Michel C. Milinkovitch, Matthias Zwicker · 2016

In this paper we present computational techniques to investigate the solutions of two-component, nonlinear reaction-diffusion (RD) systems on arbitrary surfaces. We build on standard techniques for li…

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