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🔍 patrick herbke 📂 Engineering
Showing 4393 results for "patrick herbke" in Engineering
Engineering Preprint PDF DOI

Learning-Based Hierarchical Scene Graph Matching for Robot Localization Leveraging Prior Maps

Nimrod Millenium Ndulue, Jose Andres Millan-Romera, Matteo Giorgi, Holger Voos, Jose Luis Sanchez-Lopez · 2026

Accurate localization is a fundamental requirement for autonomous robots operating in indoor environments. Scene graphs encode the spatial structure of an environment as a hierarchy of semantic entiti…

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Engineering Preprint PDF DOI

Optimizing Dynamic Metasurface Antenna Configurations for Direction-of-Arrival and Polarization Estimation Using an Experimentally Calibrated Multiport-Network Model

Jean Tapie, Philipp del Hougne · 2026

Sensing the direction of arrival and polarization of impinging signals is a key prerequisite for beamforming and interference mitigation in modern wireless communication systems. Dynamic metasurface a…

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Engineering Preprint PDF DOI

Stochastic Entanglement of Deterministic Origami Tentacles For Universal Robotic Gripping

Alec Boron, Bokun Zheng, Ziyang Zhou, Noel Naughton, Suyi Li · 2026

Origami-inspired robotic grippers have shown promising potential for object manipulation tasks due to their compact volume and mechanical flexibility. However, robust capture of objects with random sh…

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Engineering Preprint PDF DOI

Rethinking Wireless Communications through Formal Mathematical AI Reasoning

Changyuan Zhao, Jiacheng Wang, Dusit Niyato, Zan Li, Abbas Jamalipour, Shiwen Mao, Xianbin Wang, Dong In Kim · 2026

Mathematical analysis has long underpinned wireless communication theory, yet the growing complexity of next-generation systems demands increasingly sophisticated reasoning from domain experts. Recent…

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Engineering Preprint PDF DOI

Deep Learning-Enabled Dissolved Oxygen Sensing in Biofouling Environments for Ocean Monitoring

Nikolaos Salaris, Adrien Desjardins, Manish K. Tiwari · 2026

The escalating climate crisis and ecosystem degradation demand intelligent, low-cost sensors capable of robust, long-term monitoring in real-world environments. Absolute dissolved oxygen (DO) concentr…

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Engineering Preprint PDF DOI

In-context modeling as a retrain-free paradigm for foundation models in computational science

Lingfeng Li, Zhuoyuan Li, Shun Li, Kaixin Zhan, Huajian Gao, Changqing Chen, Liu Yang · 2026

Building models that generalize across physical systems without retraining remains a central challenge in computational science. Here we introduce In-Context Modeling (ICM), a retrain-free paradigm th…

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Engineering Preprint PDF DOI

Surrogate-Based Co-Design Coupling Analysis for Floating Offshore Wind Turbines

Elena Fernandez Bravo, Sunil Tamang, Yong Hoon Lee, James T. Allison · 2026

This work presents a design coupling analysis (DCA) framework to investigate the interactions among control and plant design variables in floating offshore wind turbine (FOWT) and to support the formu…

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Engineering Preprint PDF DOI

RedVLA: Physical Red Teaming for Vision-Language-Action Models

Yuhao Zhang, Borong Zhang, Jiaming Fan, Jiachen Shen, Yishuai Cai, Yaodong Yang, Jiaming Ji · 2026

The real-world deployment of Vision-Language-Action (VLA) models remains limited by the risk of unpredictable and irreversible physical harm. However, we currently lack effective mechanisms to proacti…

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Engineering Preprint PDF DOI

Learning-augmented robotic automation for real-world manufacturing

Yunho Kim, Quan Nguyen, Taewhan Kim, Youngjin Heo, Joonho Lee · 2026

Industrial robots are widely used in manufacturing, yet most manipulation still depends on fixed waypoint scripts that are brittle to environmental changes. Learning-based control offers a more adapti…

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Engineering Preprint PDF DOI

Monolithically Integrated VO$_2$ Mott Oscillators for Energy-Efficient Spiking Neurons

Fabio Bersano, Cyrille Masserey, Vanessa Conti, Andrea Iaconeta, Niccolo' Martinolli, Ehsan Ansari, Anna Varini, Igor Stolichnov, Adrian Mihai Ionescu · 2026

Brain-inspired non-Boolean computing offers intrinsic error tolerance and parallelism, but its practical deployment is limited by the lack of compact, energy-efficient spiking hardware compatible with…

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Engineering Preprint PDF DOI

Odour sensing in turbulent plumes with high-speed electronic nose and non-invasive ground truth

Nik Dennler, Elle Stark, Saimon Collaku, Lars Larson, Andre van Schaik, Michael Schmuker, John Crimaldi, Andreas T. Guntner, Aaron True · 2026

Chemical sensing in real-world environments requires resolving rapidly fluctuating and spatially heterogeneous concentration fields. However, these dynamics are strongly distorted by widely used, low-…

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Engineering Preprint PDF DOI

A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation

Nichula Wasalathilaka, Dineth Perera, Oshadha Samarakoon, Buddhi Wijenayake, Roshan Godaliyadda, Vijitha Herath, Parakrama Ekanayake · 2026

Visual state-space models (SSMs) are increasingly promoted as efficient alternatives to Vision Transformers, yet their practical advantages remain unclear under fair comparison because existing studie…

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Engineering Preprint PDF DOI

Geometry-Aware Networking for Low-Altitude Economy: Movable Antennas in Space-Air-Ground Integrated Systems

Heyou Liu, Bang Huang, Mohamed-Slim Alouini · 2026

Space--air--ground integrated networks (SAGINs) are emerging as a key foundation for future non-terrestrial networks (NTNs) and low-altitude economy services. However, their performance is increasingl…

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Engineering Preprint PDF DOI

Muscle-inspired magnetic actuators that push, pull, crawl, and grasp

Muhammad Bilal Khan, Florian Hofmann, Kilian Schafer, Matthias Lutzi, Oliver Gutfleisch · 2026

Functional magnetic composites capable of large deformation, load bearing, and multifunctional motion are essential for next-generation adaptive soft robots. Here, we present muscle-inspired magnetic …

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Engineering Preprint PDF DOI

Driving risk emerges from the required two-dimensional joint evasive acceleration

Hao Cheng, Yanbo Jiang, Wenhao Yu, Rui Zhou, Jiang Bian, Keyu Chen, Zhiyuan Liu, Heye Huang, Hailun Zhang, Fang Zhang, Jianqiang Wang, Sifa Zheng · 2026

Most autonomous driving safety benchmarks use time-to-collision (TTC) to assess risk and guide safe behaviour. However, TTC-based methods treat risk as a one-dimensional closing problem, despite the i…

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Engineering Preprint PDF DOI

Path-Based Quantum Meta-Learning for Adaptive Optimization of Reconfigurable Intelligent Surfaces

Noha Hassan, Xavier Fernando, Halim Yanikomeroglu · 2026

Reconfigurable intelligent surfaces (RISs) modify signal reflections to enhance wireless communication capabilities. Classical RIS phase optimization is highly non convex and challenging in dynamic en…

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Engineering Preprint PDF DOI

CAR-EnKF: A Covariance-Adaptive and Recalibrated Ensemble Kalman Filter Framework

Shida Jiang, Shengyu Tao, Zihe Liu, Scott Moura · 2026

The ensemble Kalman filter (EnKF) is widely used for nonlinear and high-dimensional state estimation because it replaces complex covariance propagation with simple ensemble statistics. However, conven…

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Engineering Preprint PDF DOI

Greedy Kalman-Swarm: Improving State Estimation in Robot Swarms in Harsh Environments

Phunyapa Suksomboon, Paulo Garcia · 2026

State estimation is a fundamental requirement in robotics, where the accurate determination of a robot's state is essential for stable operation despite inherent process disturbances and sensor noise.…

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Engineering Preprint PDF DOI

Watching Physics: the Generative Science of Matter and Motion

Hagen Holthusen, Kevin Linka, Ellen Kuhl · 2026

Can we learn the physics of matter in motion directly from images and video--and trust it? Answering this question requires integrating experiments, physics-based simulation, and data across tradition…

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Engineering Preprint PDF DOI

Discovery of unobservable parameters via physical embedding

Le Cheng, Xiaoran Liu, Lingjin Kong, Haitao Zhao, Jun Xiong, Fanglin Gu, Xiaoying Zhang, Baoquan Ren, Jibo Wei, Hao Yin · 2026

Recovering a source signal from indirect measurements often requires estimating latent parameters, such as wireless channel states or MRI coil sensitivities, that cannot be directly observed. Here, we…

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